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Metallography

Metallography is the scientific discipline of examining and determining the and underlying of metals and alloys, including the spatial relationships between their constituents, primarily through microscopic techniques. It encompasses the qualitative and quantitative analysis of microstructures—such as grains, phases, inclusions, defects, and other features—to reveal how these elements influence a material's physical, mechanical, and chemical properties. While traditionally focused on metallic materials, metallography (also known as materialography) extends to ceramics and polymers using similar preparation and observation methods. The process begins with careful specimen selection and preparation to preserve the unaltered microstructure, typically involving sectioning the sample to expose a representative plane, mounting it for handling (especially for small or irregular pieces), and then grinding and polishing to achieve a flat, scratch-free surface. Etching follows, where chemical reagents selectively attack different phases to enhance contrast under illumination, allowing visualization of features like grain boundaries and precipitates. Examination is conducted using light microscopes for resolutions down to about 0.2 µm or electron microscopes for higher magnifications exceeding 1,000,000×, often supplemented by techniques such as X-ray diffraction for crystallographic details. Metallography plays a critical role in materials science and engineering by enabling the correlation between processing history (e.g., heat treatment, deformation, or casting) and resulting properties, which is essential for quality assurance, failure investigation, and alloy development. Quantitative approaches, including stereology for measuring parameters like grain size and phase volume fractions, provide numerical data to support predictive modeling and standardization in industries such as aerospace, automotive, and manufacturing. Advances in digital imaging and automated analysis have further enhanced its precision and efficiency in modern applications.

Fundamentals

Definition and Objectives

Metallography is the scientific dedicated to and microscopic of polished metal surfaces to reveal the underlying microstructure of metals and alloys. This involves studying features such as phases, grains, inclusions, and defects that influence material behavior. The primary objectives of metallography are to elucidate the relationships between a material's microstructure, its processing history, and its resulting properties, thereby supporting applications in alloy design, , and failure investigation. By analyzing how microstructural elements form during processes like , , or deformation, metallographers can predict and optimize performance characteristics such as strength and . This approach is essential for ensuring material reliability in industries ranging from to automotive. Key microstructural components examined in metallography include grain boundaries, which delineate regions of crystalline orientation; precipitates, representing secondary phases that enhance or degrade properties; and dislocations, line defects that govern plastic deformation, though their direct observation often requires advanced techniques beyond standard optical methods. Inclusions, non-metallic particles embedded within , and other defects like voids or cracks, provide insights into processing flaws and environmental interactions. Understanding these elements is crucial for correlating microscopic arrangements with macroscopic mechanical behavior, without relying on destructive testing alone. The foundations of metallography trace back to the pioneering work of Henry Clifton Sorby in 1863, who first applied and to metals for microscopic study, establishing it as a vital tool in .

Historical Development

The origins of metallography trace back to 1863, when British geologist Henry Clifton Sorby pioneered the microscopic examination of polished and etched specimens, revealing crystalline structures and laying the foundation for understanding metal microstructures. Sorby's innovative preparation involved grinding, , and iron and samples with acids to enhance contrast under reflected light , enabling the first observations of and other phases. This work marked the birth of metallographic as a distinct scientific tool for material analysis. In the late 19th and early 20th centuries, advancements focused on refining specimen preparation techniques. French metallurgist Floris Osmond developed improved polishing methods, including the "polish attack" technique using parchment and for final surface finishing, and demonstrated thermal etching in 1888 to reveal microstructures without chemical reagents. Osmond's 1904 book, The Microscopic Analysis of Metals, systematized etching reagents such as acids, , and salts, classifying them for revealing specific features in iron and steel. Concurrently, Belgian-American metallurgist Albert Sauveur established the first university-based metallographic laboratory at Harvard in 1899 and contributed to instrumentation, including enhancements to the for industrial sample examination. The American Society for Testing and Materials (ASTM) formed Committee E-4 on Metallography in 1916, developing early standards for polishing cloths and procedures throughout the 1920s and 1930s to ensure reproducible results. Post-World War II, metallography expanded with the adoption of electron microscopy, which provided higher resolution for nanoscale features; early applications in metallurgy appeared in 1943, with widespread integration by the 1950s for defect analysis in alloys. Quantitative methods emerged in the 1940s, building on earlier grain size measurements like Heyn's intercept method (1904) and Jeffries' planimetric approach (1916), evolving into stereological techniques for volume fraction and particle sizing. By the 1980s, computer-aided image analysis revolutionized the field, enabling automated quantification of microstructures through digital processing, as highlighted in proceedings from the International Metallographic Society. Modern contributors like George F. Vander Voort advanced standardization and preparation practices, authoring influential texts such as Metallography: Principles and Practice (1984) and leading ASTM E-4 efforts on quantitative metallography.

Specimen Preparation

Sectioning and Mounting

Sectioning and mounting represent the initial stages of metallographic specimen preparation, where raw material samples are cut to a suitable size and embedded to create a stable platform for subsequent surface refinement. These steps are essential to isolate the region of interest while preserving the material's microstructure from damage or alteration. Proper execution minimizes artifacts such as deformation, cracks, or heat-affected zones (HAZ) that could compromise later analysis. Sectioning involves cutting the specimen using methods that balance speed, , and minimal structural disturbance. cutting with rotating saws equipped with thin wheels bonded by alumina, , or abrasives is the most versatile and economical approach, producing low-distortion cuts suitable for a wide range of metals. These wheels, typically 0.5 to 1 mm thick, operate at high speeds (up to 3500 rpm) and require generous flow—such as with inhibitors—to dissipate heat and prevent HAZ formation, which could lead to recrystallization or changes in the . For applications, wire () employs a thin wire and fluid to erode via controlled electrical sparks, achieving cuts with minimal and HAZ, ideal for heat-sensitive alloys like superalloys. includes vices or clamps to secure the sample securely against the cutting path, preventing vibration-induced deformation, while wheels are preferred for hard materials to ensure clean kerf widths of 0.3 to 0.5 mm. Safety protocols emphasize enclosed machines with transparent guards, like gloves and , and wet cutting to suppress dust and flying debris, thereby reducing risks of injury or contamination. Mounting follows sectioning to embed the cut specimen, protecting fragile edges, standardizing dimensions for automated processing, and improving handling during preparation. Hot compression mounting involves placing the sample in a cylindrical with thermosetting resins like (phenolic) or , then applying heat (140–180°C) and (up to 40 ) in a for 4–12 minutes to form a durable , typically 25–50 mm in diameter. This method enhances retention by matching the mount's hardness to the specimen, minimizing during grinding, but requires water-cooled presses to control shrinkage and avoid . For heat-sensitive or porous materials, mounting uses room-temperature-curing epoxies or polyesters poured into molds around the sample, often with impregnation to eliminate air voids and ensure uniform support; curing takes 8–24 hours but preserves delicate structures like coatings. Large or irregularly shaped specimens may instead be clamped in soft-jaw vises with protective padding to avoid stress-induced artifacts, providing stability without embedding. Common mount materials include for its conductivity in electrolytic and for transparency in examinations, both selected to reduce differential . These techniques collectively facilitate planar grinding by offering a flat, supported surface that withstands mechanical forces without introducing deformation.

Grinding and Polishing

Grinding and polishing are critical mechanical processes in metallographic specimen preparation that transform a rough, mounted sample into a flat, deformation-free surface ideal for microstructural examination. These steps progressively remove material using abrasives of decreasing size to eliminate sectioning damage, scratches, and subsurface alterations while minimizing heat-induced artifacts. According to the ASTM E3 standard, grinding distinguishes itself by employing fixed abrasives on rigid surfaces to plane the specimen, whereas uses loose abrasives on compliant cloths for a mirror finish. Grinding Stages
Grinding begins with coarse stages to rapidly level the surface and remove deformation from prior sectioning. Typically, silicon carbide (SiC) papers with 120–320 grit sizes (P120–P400) are used under wet conditions, where water acts as a coolant and lubricant to prevent overheating and metallurgical changes in the sample. Each coarse stage lasts 2–5 minutes on a rotary platen rotating at 200–300 RPM, with the specimen counter-rotating and applying 20–30 N force for uniform material removal. Fine grinding follows, employing 400–1200 grit SiC papers (P800–P2500) to refine the surface and erase coarser scratches; this progression ensures scratches from one stage are removed in the next by rotating the specimen 90 degrees between steps. Wet grinding predominates over dry methods to dissipate heat, particularly for heat-sensitive alloys, though dry grinding may suffice for brief, low-friction applications.
Polishing Steps
Polishing refines the ground surface to achieve optical clarity, starting with coarse diamond suspensions (6–3 μm particles) applied to low- or no-nap cloths like synthetic or woven on a rotary or vibratory platen. Intermediate polishing uses 1 μm diamond on medium-nap cloths, with each step lasting 2–5 minutes at 100–150 RPM and reduced (10–20 N) to avoid over-removal. Final polishing employs (0.04–0.25 μm) or alumina suspensions on high-nap cloths or chemotextile pads, often in vibratory systems for gentle, isotropic finishing that removes the last traces of deformation. Automated polishers with central heads ensure even pressure across multiple specimens, contrasting manual hand- which permits real-time inspection but risks inconsistency. Lubricants such as - or water-based solutions are essential during polishing to reduce and prevent particle embedding.
Artifacts and Mitigation
Key artifacts in grinding and polishing include embedded particles, which cause false inclusions and are mitigated by switching to alumina or abrasives post-grinding and between steps. Relief polishing, where phases etch differentially due to uneven removal, is avoided by using napless cloths, central force , and limiting stage times to prevent over- softer constituents. Scratches and scratches from prior stages are eliminated through strict progression to finer abrasives, with 90-degree rotation ensuring complete coverage; vibratory further reduces directional artifacts over 1–several hours for challenging samples. Thorough rinsing and wiping after each stage prevent cross-contamination from residual abrasives.
Equipment
Rotary grinders-polishers, such as those with 8–12 inch platens, are standard for sequential stages due to their speed and control over RPM and force. Vibratory polishers complement final steps by oscillating bowls at low amplitudes (e.g., 1–2 mm) for non-directional finishing, ideal for soft or composite materials. Both types support wet operation with integrated coolant systems to maintain sample integrity.

Etching Techniques

Etching techniques in metallography involve the controlled chemical or electrochemical attack on polished metal surfaces to reveal underlying microstructures, such as grain boundaries, phases, and inclusions, by exploiting differences in electrochemical potential between microstructural features. These methods follow mechanical preparation and are essential for creating contrast that enables subsequent microscopic analysis. Chemical etching, the most common approach, entails immersing or swabbing the specimen in an acidic or solution that selectively dissolves surface atoms at varying rates based on local and . For ferritic and pearlitic steels, Nital etchant—typically 2% in —is widely used, with immersion times controlled between 5 and 30 seconds to avoid over- and pitting. This reagent preferentially attacks ferrite regions, delineating boundaries and phases while leaving relatively unattacked. Picral, consisting of 4% in , serves as a selective etchant for in steels, enhancing contrast in cementite lamellae by slower dissolution of phases compared to ferrite. For non-ferrous metals like and its alloys, ferric (FeCl₃) solution—often 5-10 g in 100 mL of or —effectively reveals structures through preferential dissolution at boundaries and inclusions. Electrolytic etching employs an to drive the reaction, positioning the specimen as the in an bath, which promotes more uniform attack especially on conductive non-ferrous metals prone to uneven chemical immersion. Voltages of 5-10 V are commonly applied for 10-60 seconds in solutions like (10-20% CrO₃ in water) for aluminum alloys or , minimizing gas evolution and while revealing fine precipitates and twins. This method's advantages include reduced risk of mechanical distortion and better control over etch depth, particularly for soft or heterogeneous alloys. The mechanisms underlying selective etching rely on galvanic corrosion principles, where anodic sites (e.g., grain boundaries or second-phase particles) dissolve faster due to higher reactivity, creating topographic relief and optical contrast via light scattering. For instance, in Picral etching of pearlite, picric acid complexes with iron to slow carbide attack relative to ferrite, while FeCl₃ on copper exploits chloride ions to target disordered boundary regions. Post-etch handling is critical to preserve the revealed microstructure and prevent re-embedding of . Specimens are immediately rinsed in running or to neutralize residual etchant, followed by drying in warm air or under a to avoid spots and oxidation. If excessive relief develops, vibratory with a fine alumina (0.05-0.3 μm) for 30-60 minutes can gently remove raised features without obliterating the etch contrast. The etched surface is then ready for optical examination to interpret the microstructure.

Optical Microscopy Techniques

Principles of Image Formation and Contrast

In metallographic optical microscopy, image formation relies on the of incident with the prepared specimen surface, typically using reflected illumination for opaque metal samples. Polished surfaces reflect uniformly, producing a bright, featureless image due to minimal , while introduces topographic variations that alter reflectivity and . These variations cause to be reflected differently across grains, phases, or inclusions, with reflected rays collected by to form an image through and . The process involves direct (undeviated) contributing to background intensity and diffracted interfering to create at the . The fundamental limit of resolution in metallographic imaging is governed by Abbe's diffraction theory, which describes the smallest resolvable detail as the distance d between two points, given by the formula d = \frac{0.61 \lambda}{\mathrm{NA}}, where \lambda is the wavelength of light (typically 400-700 nm for visible light) and NA is the numerical aperture of the objective lens. This limit arises because only a finite number of diffracted light orders can be captured by the lens, with higher orders necessary for finer details. In practice, for metallurgical microscopes, objective lenses have NA values ranging from 0.5 to 1.4, enabling resolutions around 0.2-0.5 μm, though actual performance depends on wavelength and immersion medium. Useful magnification is limited to approximately 1000×, beyond which empty magnification occurs without additional resolving power, as higher magnifications merely enlarge diffraction-blurred images. Contrast in metallographic images arises from two primary mechanisms: , which stems from differences in due to varying or on the specimen surface, and , which results from differences caused by surface height variations or gradients. is prominent in samples, where chemical attack creates regions of differential reflectivity, such as darker grain boundaries against brighter grains. , often enhanced in topographic features like scratches or inclusions, manifests as effects from light shifts. Key factors influencing include the angle of illumination, which affects ; , shorter ones providing sharper boundaries; and specimen preparation, with depth modulating intensity variations. For instance, oblique illumination can accentuate differences by shadowing raised features. Common artifacts in metallographic imaging include glare from uneven illumination and fringes that obscure fine details, often exacerbated by improper light setup. These can be mitigated through , a configuration that uses conjugate focal planes to ensure uniform, glare-free lighting across the field of view. In this setup, the light source is imaged onto the aperture diaphragm, and the specimen is uniformly illuminated by defocused source filaments, optimizing the objective's for maximum contrast and resolution while minimizing artifacts. Proper adjustment of the aperture diaphragm to 70-95% of the objective's balances these effects, preventing over-illumination that causes flare or under-illumination that reduces detail visibility.

Bright-Field and Dark-Field Illumination

Bright-field illumination is the most commonly employed technique in optical metallography, utilizing vertical incident directed through the objective lens onto the specimen surface to produce a uniformly bright background. This method relies on differences in reflectivity and between microstructural features and the surrounding , often enhanced by to create relief or absorption contrasts. In polished and etched metal samples, features such as grain boundaries, phases, and inclusions appear darker or lighter against the bright field due to variations in , making it suitable for revealing general microstructure on flat surfaces. The setup involves a vertical illuminator with a or mirror to direct light perpendicular to the specimen, allowing back into the objective for image formation. Applications include assessing in annealed metals, such as commercial purity where etched grains are clearly delineated, and identifying s or inclusions in alloys like austempered . This technique builds on principles of from differences, providing straightforward visualization of and distributions in routine examinations. However, it is less effective for subtle contrasts without and can introduce artifacts if is inadequate. Dark-field illumination, in contrast, employs off-axis or oblique light to exclude direct specular reflections, resulting in a dark background where only scattered light from surface irregularities or edges enters the objective, producing bright highlights. The setup typically incorporates an occluding stop, annular illuminator, or parabolic mirror to direct a hollow cone of light at high angles onto the specimen, reversing the contrast relative to bright-field. This method excels at enhancing visibility of defects and fine details, such as scratches appearing as bright lines, fissures, pores, and non-metallic inclusions like nitrides or borides in as-polished samples. Examples include delineating boundaries and twins in alloys like or outlining lamellar eutectics in copper-phosphorus alloys. Applications of dark-field are particularly valuable for detecting low-contrast features like cracks and inclusions that are obscured in bright-field, such as lead globules in bronzes or surface in archaeological metals. Despite these advantages, it shares the same limits as bright-field and is less suitable for uniform or flat areas, often requiring complementary techniques for comprehensive analysis. Its infrequent use stems from the need for precise alignment and its limited effectiveness on highly polished, featureless surfaces.

Polarized Light and Differential Interference Contrast

Polarized light microscopy enhances contrast in metallographic specimens by exploiting the anisotropic optical properties of certain materials, particularly those with non-cubic crystal structures. The technique employs a , typically placed between the light source and the specimen, and an analyzer positioned after the objective lens, with their transmission axes oriented at 90 degrees to achieve in isotropic regions. This setup reveals , where the specimen alters the state of light, producing vivid interference colors or brightness variations that highlight microstructural features such as grain boundaries and twins without the need for . For example, in metals like , , or , crossed polars vividly display mechanical twins and grain orientations in as-polished samples. In addition to revealing inherent crystal anisotropy, polarized light detects strain-induced birefringence in metals, where residual stresses from deformation create local variations in , manifesting as colored patterns under crossed polars. This photoelastic effect is particularly useful for assessing stress concentrations around inclusions or in heat-treated components, as the retardation of light depends on the strain magnitude and direction. Quantitative evaluation of birefringence often involves inserting a compensator between the and analyzer; the , a tapered plate with a from approximately 500 to 2000 nm, is adjusted until the color at the specimen edge matches that of the wedge, allowing estimation of the value via a Michel-Lévy color chart. Differential interference contrast (DIC), also known as Nomarski interference contrast, provides phase-sensitive imaging by converting subtle surface topography and differences into amplitude variations, yielding a pseudo-three-dimensional effect. In reflected metallography, a single Nomarski prism—composed of two birefringent quartz wedges cemented with perpendicular optical axes—is inserted above to split the incident polarized into two orthogonally polarized beams sheared by a small amount (typically 0.5–1 μm). Upon from the specimen, the beams recombine, and occurs based on height differences, with contrast direction dependent on the shear axis, which can be rotated for optimal visualization. This method excels at revealing fine topographic features, such as etch pits, deformed grains, or phase boundaries in polished or lightly etched surfaces, where bright-field imaging lacks sufficient contrast. These techniques find key applications in analyzing deformation and recrystallization in wrought alloys, such as aluminum and , where polarized anodized with reagents like Barker's etchant distinguishes recrystallized grains from deformed ones based on orientation-dependent . In cold-rolled aluminum alloys, for instance, polarized reveals processes and effects that influence recrystallization kinetics during annealing, aiding optimization of mechanical properties. DIC complements this by highlighting topographic relief from slip bands or twinning in deformed structures. Advantages include high contrast in as-polished specimens without chemical staining, enabling rapid assessment, and approaching the diffraction limit of visible (around 0.2 μm), while preserving specimen integrity for subsequent analyses.

Specialized Optical Methods

Oblique illumination in metallography involves directing light at an angle to the specimen surface, typically from one side, to produce shadow effects that highlight topographic features on rough or unpolished samples. This technique enhances the visibility of macro-defects such as cracks, pores, and surface irregularities by creating contrast through differential shading, where elevated features cast and depressions appear brighter. Unlike vertical illumination, which provides even lighting but limited information, oblique illumination is particularly useful for initial examinations of as-machined or fractured surfaces in metals and alloys, revealing linear or periodic structures without the need for extensive preparation. However, it often results in uneven illumination across the field of view and can degrade due to scattered light, making it less suitable for fine microstructural details compared to modern methods like differential interference contrast.

Electron-Based Techniques

Scanning Electron Microscopy

Scanning electron microscopy () is a powerful in metallography that utilizes a focused of s, typically accelerated at voltages between 0.1 and 30 keV, to scan the surface of a metallographic specimen, producing high-resolution images of surface topography and microstructure. The interaction of the primary with the sample generates various signals, including (SE) with energies below 50 eV, which are emitted from the top few nanometers of the surface and provide detailed topographic information due to their sensitivity to surface features and edges. Backscattered electrons (BSE), which are higher-energy electrons (up to the beam's accelerating voltage) reflected from deeper within the sample through , offer compositional contrast by varying in intensity with the of elements present, enabling differentiation of phases or inclusions in metallic alloys. Sample preparation for SEM in metallography builds on standard metallographic processes but emphasizes conductivity and minimal artifacts to avoid charging or contamination under the beam. Specimens are typically mounted, ground, and polished to expose the , then coated with a thin layer of conductive material such as carbon (5-20 nm thick) to dissipate charge, particularly for non-conductive or low-conductivity metals, ensuring stable imaging without distortion. SEM operation requires a high-vacuum environment (typically 10^{-5} to 10^{-7} ) to minimize by residual gases, and advanced instruments equipped with field emission guns (FEG) achieve resolutions as fine as 1 nm by providing a brighter, more coherent source compared to traditional filament guns. In metallographic applications, SEM excels at examining fracture surfaces to identify failure modes such as ductile dimpling or , revealing microstructural details like boundaries or propagation paths that inform material performance and processing defects. It is particularly valuable for analyzing inclusions in steels and alloys, where BSE imaging highlights non-metallic particles based on density differences, and integration with (EDS) allows for elemental mapping to determine inclusion chemistry, such as oxides or sulfides, aiding in and failure investigations. Compared to optical , SEM provides a significantly greater —up to 300 times deeper—enabling sharp focus across rough or irregular surfaces like fractures, and magnifications ranging from 10x to over 1,000,000x for nanoscale feature resolution unattainable with light-based methods.

Transmission Electron Microscopy

Transmission electron microscopy (TEM) employs a beam of electrons accelerated to energies typically between 100 and 300 kV, which transmits through an ultrathin sample to form images of internal structures at high magnification. In metallography, this technique is essential for analyzing the microstructure of metals and alloys by revealing features such as crystal lattices, defects, and phases that are invisible under optical or scanning electron microscopy. The electrons interact with the sample via scattering and diffraction, producing transmitted beams that are focused by electromagnetic lenses to create magnified projections on a detector or fluorescent screen. Sample preparation for TEM in metallographic studies requires thinning metal specimens to electron transparency, typically less than 100 thick, to allow sufficient beam penetration without excessive scattering. is a widely used method for metals, involving immersion of a pre-dimpled in an bath under controlled voltage and temperature, which preferentially dissolves material until perforation occurs at the center. (FIB) milling provides site-specific preparation, using a or to mill trenches and lift out a thin , followed by final at low energies to minimize artifacts like amorphization or implantation. is avoided through or careful handling in inert environments to prevent deposition that could obscure fine details. In bright-field TEM imaging, the direct transmitted forms the image, providing high contrast for and other defects through amplitude contrast arising from by atomic planes or variations in mass-thickness. Dark-field imaging, achieved by selecting a diffracted with an , enhances visibility of specific defects like dislocation loops by illuminating regions where electrons are scattered into that direction. Selected area electron (SAD) complements these modes by isolating a small region (typically 200-500 nm) of the sample to produce a diffraction pattern that identifies , orientation, and phase relationships in polycrystalline metals. TEM finds critical applications in metallography for quantifying nanoscale features that influence mechanical properties, such as precipitate sizing in aged alloys where high-resolution imaging measures distributions down to a few nanometers. It is particularly valuable for assessing , including in irradiated metals, where bright-field and dark-field modes reveal loop sizes and densities that correlate with radiation-induced embrittlement. For example, in materials, TEM analysis of helps evaluate swelling and resistance under service conditions. The resolution of TEM in reaches the atomic scale, approximately 0.1 nm, enabling direct visualization of individual atoms in crystalline metals under aberration-corrected conditions. mechanisms include mass-thickness , where heavier elements absorb more electrons, and , which highlights fields around defects like dislocations through bending of planes. These capabilities make TEM indispensable for understanding atomic-level phenomena in , though it requires meticulous preparation to achieve artifact-free results.

Electron Backscatter Diffraction

Electron backscatter diffraction (EBSD) is a scanning electron (SEM) technique that maps crystallographic orientations across a sample surface by analyzing Kikuchi patterns formed from backscattered electrons. These patterns arise when a focused electron beam interacts with the lattice, producing diffracted electrons that create characteristic band structures on a detector, enabling determination of local orientations with angular resolutions as fine as 0.003° using advanced methods. In metallography, EBSD provides spatially resolved data on microstructure, distinguishing it from topographic imaging by focusing on crystallographic information. The EBSD setup involves tilting the polished metallographic sample to approximately 70° relative to the incident beam in the chamber to optimize pattern quality and backscattered yield. Patterns are captured on a screen or directly with fast detectors positioned at a low angle to the sample, then digitized for processing. Indexing of these Kikuchi patterns typically employs the algorithm, which detects band edges in the image and matches them to simulated patterns for a given , achieving high-speed automated orientation determination. Spatial resolutions range from 20 nm in to 200 nm in aluminum alloys, limited by beam interaction volume and detector sensitivity. EBSD mapping proceeds by rastering the electron across the sample in a with step sizes typically between 50 nm and 10 μm, depending on the microstructure and desired . Resulting orientation data are visualized using inverse pole figure (IPF) maps, which color-code orientations relative to a reference direction to reveal and morphologies. boundaries are characterized by misorientation angles between adjacent pixels, with boundaries exceeding 15° classified as high-angle boundaries, enabling of boundary types and distributions. packages, such as TSL OIM from EDAX or CHANNEL5 from Instruments, handle , indexing, and post-processing, with EBSD inherently tied to the SEM's and accelerating voltage. In metallographic applications, EBSD excels in studying recrystallization processes, where it tracks the and growth of strain-free grains in deformed alloys, such as ultrafine ferrite formation in low-carbon steels during hot rolling. For phase identification, EBSD distinguishes polymorphs in multi-phase alloys by matching patterns to known structures, as demonstrated in the analysis of martensitic transformations in high-performance steels or phases in Al-Si alloys. These capabilities support broader investigations into deformation textures and stability in materials like superalloys and light metals.

Diffraction and Spectroscopic Methods

X-Ray Diffraction Analysis

X-ray diffraction (XRD) analysis is a fundamental technique in metallography for characterizing the of bulk materials, particularly for phase identification and determination of lattice parameters. The method relies on the of s by atomic planes in crystalline lattices, governed by , which states that constructive occurs when the path difference between scattered waves satisfies n\lambda = 2d \sin\theta, where n is an integer, \lambda is the X-ray wavelength, d is the interplanar spacing, and \theta is the angle of incidence. In metallographic applications, this principle enables the measurement of lattice spacings to identify phases by comparing patterns to standard databases, such as those from the International Centre for Diffraction Data (ICDD). For polycrystalline metals, the powder method assumes random orientation to produce isotropic rings, while methods account for preferred orientations in processed materials like wrought alloys. Typical XRD setups for metallographic samples employ Kα radiation, with a of approximately 1.5418 , generated by an with a operating at 20–40 kV and 20–40 mA. Detectors, such as or solid-state types, capture diffracted intensities as a function of 2θ , allowing precise determination of peak positions for d-spacing calculations and peak intensities for quantification. For quantitative analysis, the method fits the entire pattern using a least-squares approach to refine structural parameters, enabling accurate determination of fractions in multiphase alloys without internal standards. This technique is particularly valuable in for analyzing complex microstructures, such as those in heat-treated steels or alloys. Sample preparation for in metallography involves polishing the surface flat to ensure uniform incidence and minimize preferred orientation artifacts from . Metallographic specimens, often mounted in and approximately 1 inch in diameter, are ground and polished to a mirror finish, with the analyzed area centered on the flat end face. This preparation integrates seamlessly with , allowing the same polished section to be used for both visual examination and for phase confirmation. In applications, XRD detects preferred orientation (texture) in rolled metal sheets by measuring intensities across various sample tilts, producing pole figures that map alignments relative to rolling, transverse, and normal directions. For residual stress evaluation, the sin²ψ method measures spacing variations at different tilt angles ψ, plotting d versus sin²ψ to derive values from the slope, assuming elastic deformation follows . This non-destructive bulk analysis complements microscopic techniques by providing average structural information over penetration depths of 10–50 μm, essential for assessing deformation in components like blades.

Spatially Resolved Acoustic Spectroscopy

Spatially Resolved Acoustic (SRAS) is a non-destructive laser-based used in metallography to map microstructural features such as and size by measuring the velocity of surface (SAWs) on material surfaces. Developed as an acoustic method, SRAS enables rapid without requiring environments or physical ; while traditional setups benefit from polished surfaces, advanced detection methods allow of rough or as-produced surfaces with some limitations. The relies on that SAW velocity varies with crystallographic and elastic properties of the material, providing contrast for microstructural mapping. The mechanism of SRAS involves generating SAWs using a pulsed laser that illuminates a fixed grating mask, creating an interference pattern with a specific spatial period that defines the SAW wavelength \lambda. This thermoelastic excitation produces a wave packet that propagates across the surface, and the frequency f of the detected signal allows calculation of the phase velocity via v = f \lambda, where variations in v (typically 2000–6000 m/s in metals) reflect differences in local crystal orientation and elasticity due to anisotropic elastic constants. By raster-scanning the generation and detection points, velocity maps are constructed, revealing grain boundaries as regions of velocity contrast. For validation, these maps can be correlated with optical microscopy images to confirm microstructural features. In a typical SRAS setup, a Q-switched Nd:YAG (wavelength around 1064 nm, pulse duration 1–2 ns, repetition rate 1–12.5 kHz, energy 50–150 μJ) serves as the generation source, focused through a chrome-on-glass with pitch 10–30 μm to produce . Detection is achieved using a continuous-wave at 532 nm ( ~200 mW) coupled to an interferometer or knife-edge detector that monitors surface displacements, with signals processed via to extract frequency. Scanning is performed with motorized stages, achieving spatial resolutions of 20–100 μm depending on the excitation patch size (~200 μm diameter) and step size, allowing maps over areas up to several cm² in minutes. Applications of SRAS in metallography include non-destructive inspection of welds to detect grain structure and residual stresses, as well as evaluation of defects like pores and cracks in additively manufactured components such as those produced by of or nickel alloys. The technique is particularly valuable for in-situ monitoring of hot samples during processing, where traditional methods fail, and has been used to assess texture in aerospace materials like . By combining SRAS data with (EBSD) for orientation validation, it provides comprehensive crystallographic information. Key advantages of SRAS include its non-contact nature and robustness to environmental factors like , unlike electron-based methods requiring . It offers high measurement speeds (up to 1000–2000 points per second) and depth sensitivity of ~20–30 μm, making it ideal for surface and near-surface in settings. Recent advances (as of 2024) include mapping properties and improved performance on rough surfaces using speckle detection, expanding applications to as-built additive components. These features position SRAS as a complementary tool to methods, focusing on propagation for surface-specific insights.

Quantitative Metallography

Stereological Measurements

Stereology provides a mathematical framework for estimating three-dimensional microstructural parameters from two-dimensional metallographic sections, enabling quantitative assessment of features such as volume fractions and sizes in metals and alloys. This approach relies on integral geometry principles to ensure unbiased estimates, assuming isotropic and random distribution of features. A foundational stereological principle is Delessé's method, developed in 1848, which states that the volume fraction V_v of a phase equals its area fraction A_A on a random section plane, expressed as V_v = A_A. This unbiased estimator applies to any convex feature and is widely used for quantifying inclusions, precipitates, or matrix phases in metallographic images. Common stereological measurements include point counting for phase volume fractions and line intercept methods for linear features like grain boundaries. In point counting, a is superimposed on the image, and the fraction of points falling on a P_P equals V_v, with optimal grid density around $3 / V_v points to minimize error; points on boundaries are typically assigned half-credit. For linear features, such as estimation, the mean intercept length is calculated by drawing random test lines and counting intersections N_L with boundaries over total line length L_2, yielding the two-dimensional mean intercept \bar{L_2} = L_2 / N_L; the three-dimensional equivalent L_3 for equiaxed grains is approximated as L_3 = 1.5 \bar{L_2}. charts per ASTM E112 standardize this via comparison, planimetric, or intercept procedures, converting intercepts to ASTM grain size number G using empirical relations like G = -6.644 \log_{10} (\bar{l}) - 3.298, where \bar{l} is the mean intercept in inches at 100× . Bias in stereological measurements arises from non-random section planes, which distort apparent sizes (e.g., elongated grains appear smaller on transverse sections), and preferred orientations that violate assumptions. Corrections involve selecting random orientations through multiple section planes (e.g., longitudinal and transverse) and using isotropic test lines or vertical sections to ensure uniform sampling, reducing section plane effects on intercept lengths by factors up to 2 for directional features. Tools for these measurements range from manual methods, such as eyepiece reticles with 50–100 point grids or transparent overlay templates for intercepts, to automated image analysis software that applies stereological probes digitally for higher precision and reduced operator bias.

Statistical Analysis and Software Tools

Statistical analysis in metallography extends stereological measurements by applying probabilistic models to characterize variability in microstructural features such as grain sizes and phase distributions. Grain size distributions are frequently modeled using log-normal functions, where the natural logarithm of grain diameters follows a normal distribution, enabling the estimation of population parameters like mean diameter and standard deviation through maximum likelihood fitting. This approach accounts for the skewed nature of grain sizes observed in polycrystalline materials, as demonstrated in analyses of deformed metals where log-normal fits better capture the tail of larger grains compared to normal distributions. Confidence intervals for these parameters, typically at the 95% level, are computed using Student's t-distribution to quantify uncertainty due to finite sampling, with the interval width scaling as t \cdot s / \sqrt{n}, where t is the t-value, s the sample standard deviation, and n the number of grains measured. Hypothesis testing, often via two-sample t-tests, evaluates process effects, such as whether heat treatment significantly alters mean grain size by comparing distributions from treated and untreated samples, with p-values indicating the likelihood of observed differences arising from random variation. Software tools streamline these analyses by automating image processing and statistical computations on metallographic datasets. Open-source platforms like and its extensible distribution support thresholding for phase segmentation, watershed algorithms for detection, and built-in plugins for distribution fitting and hypothesis tests, making them accessible for routine quantitative evaluations. Commercial systems, such as Clemex Vision PE, provide automated counting of grains or inclusions with integrated statistical modules for log-normal fitting and reporting, while Buehler's OmniMet software facilitates database management for multi-image workflows and exports results in formats compatible with statistical packages like . integration, particularly convolutional neural networks, enhances feature recognition by training on annotated images to classify microstructures or segment complex features like twins in alloys, improving accuracy over manual methods for high-throughput analysis. Recent advances as of 2025 include models for classifying alloy microstructures from synthetic metallographic data. Large datasets from serial sectioning, which generate stacks of hundreds to thousands of images for reconstruction, demand efficient data handling to apply volume-based statistics while mitigating errors. These datasets enable fitting of grain size distributions but require alignment algorithms to correct for sectioning artifacts. , arising from non-random selection of fields or sections that overrepresent edge , introduces systematic errors in distribution parameters; correction involves across multiple specimen locations to ensure representativeness. Preparation-induced uncertainties, such as relief altering apparent feature sizes, further contribute to variance and are quantified through replicate measurements. Outputs from these analyses typically include histograms illustrating distributions of grain diameters and rose diagrams depicting angular orientations of or boundaries, which reveal preferred textures in wrought materials without assuming .

Applications and Advances

Industrial Applications

In industrial manufacturing, metallography plays a crucial role in by verifying the effectiveness of processes, particularly in steels where the fraction of directly influences and . For instance, metallographic examination allows assessment of and distribution post-quenching, ensuring compliance with specifications like those for low-alloy steels such as E4340, where intercritical annealing refines microstructures to improve notch toughness. Similarly, weld integrity is evaluated through analysis of the (HAZ) microstructure, identifying alterations like coarsening or softening that could compromise joint strength in structural components. Failure analysis relies heavily on metallography to pinpoint root causes of component breakdowns, such as cracks initiating at surface discontinuities or inclusions. Microstructural cross-sections reveal striations indicative of propagation, often linked to non-metallic inclusions that act as stress concentrators under cyclic loading. In corrosion-related failures, metallography exposes pits and intergranular attack, enabling correlation with environmental exposure and material composition to prevent recurrence. Inclusion assessment further supports this by quantifying defect size and distribution, which can initiate cracks in high-stress applications like pipelines or blades. Metallography aids process optimization in advanced , notably by characterizing in additively manufactured parts, where voids from incomplete degrade mechanical performance. Examination of polished sections quantifies levels, guiding parameter adjustments like laser power and scan speed to achieve near-full density in alloys used for and automotive components. In alloy development, it evaluates microstructural evolution during prototyping, such as phase stability in high-strength steels for automotive crash structures or lightweight variants for engine casings. A representative case involves in engines, where metallographic analysis detects alpha-case formation from oxidation during or , a brittle layer that reduces fatigue life if not removed. Cross-sectional imaging confirms uniform beta-grain structure post-processing, ensuring the alloy's high-temperature strength for disks. Such evaluations have informed iterations, balancing weight reduction with in applications.

Recent Developments in Automation and AI

Recent advancements in have transformed metallographic , with robotic systems enabling precise and efficient grinding and polishing processes. Automated grinders and polishing machines, such as the PLATO-HA series, reduce operator intervention and accelerate turnaround times for , minimizing while maintaining specimen integrity for accurate analysis. These systems integrate programmable controls for consistent pressure and speed, streamlining workflows in high-volume laboratories and supporting adjustments to optimize surface quality. In-line setups further enhance this by providing continuous visual feedback during preparation, allowing immediate detection of inconsistencies without halting production lines. The integration of () into metallography has revolutionized defect classification and microstructure analysis, particularly through algorithms applied to scanning electron () images. Convolutional neural networks (CNNs) excel in identifying and categorizing defects such as cracks, inclusions, and voids in metal , achieving high accuracy even under varying imaging conditions; for instance, a model for aluminum alloy microstructures improved classification precision in challenging metallographic scenarios. Predictive modeling using AI frameworks enables forecasting of microstructure evolution during processing, such as texture changes in polycrystalline materials over time, offering a cost-effective alternative to traditional simulations. These AI-driven tools process large datasets from SEM and other imaging modalities, enhancing scalability for industrial . Key advances include enhanced 3D serial sectioning techniques using focused ion beam-scanning electron microscopy (FIB-SEM), which automate the removal and imaging of thin material layers to reconstruct volumetric microstructures with high . This method supports detailed of internal features in metals, extending beyond 2D limitations for applications like design. Sustainability efforts have introduced eco-friendly etchants as alternatives to hazardous acids, such as chemical-free hybrid approaches for that achieve rapid metallographic etching and nanoscale surface finishes without environmental harm. Non-destructive testing (NDT) hybrids, exemplified by spatially resolved acoustic (SRAS), facilitate in-situ integrity assessment of additively manufactured parts by mapping microstructure and defects non-invasively. Emerging trends emphasize for analyzing big datasets from metallographic imaging, enabling and process optimization across scales. In 2025, equipment innovations incorporate AI-driven analytics into NDT workflows, such as automated defect recognition in ultrasonic and radiographic inspections, boosting efficiency and in metallurgical testing. These developments collectively promote sustainable, high-throughput metallography, aligning with demands for rapid, eco-conscious materials evaluation.

References

  1. [1]
    Metallography: An Introduction - ASM International
    ### Summary of Introduction to Metallography
  2. [2]
    [PDF] Metallography Lab Course - KIT - IAM
    Sep 20, 2023 · The major objective of metallography is the qualitative and quantitative examination of the microstructure of metallic materials.
  3. [3]
  4. [4]
    None
    ### Summary of Metallography from http://www.csun.edu/~bavarian/Courses/MSE%20527/Metallography.pdf
  5. [5]
    What is metallography? | Struers.com
    Metallography can be defined as the science and art of studying the microstructure of different metals and metal alloys.
  6. [6]
    Metallography – an Introduction | Learn & Share - Leica Microsystems
    Metallography is the study of the microstructure of all types of metallic alloys. It can be more precisely defined as the scientific discipline of observing ...
  7. [7]
    Metallography: An Introduction - ASM Digital Library
    Metallography is the scientific discipline of examining and determining the constitution and the underlying structure of (or spatial relationships between) the ...The Origins of Metallography · Microstructure · Microfractography (Adapted...
  8. [8]
    What is Metallography? (A Complete Guide) - TWI Global
    Metallography is the study of the physical microstructure of metals and alloys, often via microscopy. Metallographic analysis is essential for understanding ...
  9. [9]
    Metallography for analysis of metal microstructures - G2MT Labs
    Metallography is a key step in determining the quality of metals by analyzing the microstructure (the microscopic structure that determines the properties and ...
  10. [10]
    Metallography Testing Techniques- Materials Analysis - WH Labs
    This process involves examining the tiny details that make up the material, like the pattern of its grains, any phases present, inclusions, and any defects that ...
  11. [11]
    What is Metallography? Definition, Techniques & Industrial ... - Metkon
    Jul 23, 2025 · Metallography is a science and an art that examines the microstructure of metal and metal alloys. The history of metallography dates back to ...Understanding Metallography... · What is metallography in... · Difference between...
  12. [12]
    Microstructure and the Origins of Metallography - Elmet LLC
    Mar 8, 2016 · In 1863 a geologist named Henry Clifton Sorby was the first to polish metal for microscopic inspection. His father had left him a cutting ...
  13. [13]
    Metallography—The New Science of Metals - ASM Digital Library
    Henry Clifton Sorby was the first scientist to examine the surfaces of polished and etched steel samples under a microscope.
  14. [14]
    A Brief History of Metallography: I. The Beginning - Academax
    In 1863 Sorby examined iron and steel specimens prepared by grinding, polishing, and etching by means of a reflection microscope and observed pearlite composed ...
  15. [15]
    Osmond, Floris | Encyclopedia.com
    In the final polishing Osmond developed a method of “polish attack.” in which the sample was rubbed on a sheet of parchment covered with calcium sulfate ...Missing: techniques | Show results with:techniques
  16. [16]
    The Microscopic Analysis of Metals - Floris Osmond - Google Books
    Title, The Microscopic Analysis of Metals Griffin's metallurgical series ; Author, Floris Osmond ; Editors, John Edward Stead, Leicester Philip Sidney ; Edition, 2.
  17. [17]
    [PDF] ALBERT SAUVEUR - National Academy of Sciences
    Sauveur's principal contributions to the science and art of metallurgy may be summarized under four heads : (1) improve- ment in the technique of the ...
  18. [18]
    The History of ASTM Committee E4 on Metallography
    KEY WORDS: metallography, history, standards, testing. ASTM E4 ... Throughout the 1920s and 1930s, Sub 1 was constantly searching for sources of good cloths.
  19. [19]
    [PDF] Applications of the Electron Microscope in Metallurgy (Institute of Me
    of electronics, like so many other branches became evident when it was demonstrated1 of science and industry, has been indebted that electrons were affected ...
  20. [20]
    [PDF] Introduction to Quantitative Metallography - Buehler
    Quantitative Metallography- 30 Years Ago​​ For most of its history, metallographic observations have been largely qualitative in nature. The structure might be ...Missing: 1940s | Show results with:1940s
  21. [21]
    Computer-aided Microscopy and Metallography - Google Books
    Title, Computer-aided Microscopy and Metallography: Proceedings of the Twenty-Second Annual Technical Meeting of the International Metallographic Society
  22. [22]
    ASTM Committee E-4 - metallography.com
    It describes the history of ASTM Committee E-4 from 1916 (when it was organized) to 1991 when the article was written. It originally appeared in ASTM ...
  23. [23]
    None
    ### Summary of Sectioning Methods in Metallography (from https://www.asminternational.org/ims/wp-content/uploads/sites/40/2022/11/ACF30C5.pdf)
  24. [24]
    [PDF] Metalog Guide - Struers.com
    Mounting: for fragile materials, hot compression mounting should be avoided and cold mount- ing, preferably vacuum impregnation, should be used instead. The ...
  25. [25]
    [PDF] Metallography Principles and Procedures
    To cut clean and fast, the bond must wear away or break down rapidly enough to expose the new abrasive grains. Softer bond wheels are used for sectioning hard.Missing: EDM | Show results with:EDM
  26. [26]
    [PDF] Experimental Study of the Cutting Processes on the Microstructure of ...
    Jun 25, 2018 · The cuts made with the cutting machine and wire by EDM affected very slightly the microstructure of the material, because of which the hardness ...
  27. [27]
    Buehler® SumMet
    General Usage and AcuThin Abrasive Wheels For sectioning small, delicate specimens or where minimal deformation and kerf loss is the primary concern. Bond ...
  28. [28]
    Grinding and Polishing Guide - Buehler - Buehler
    There is no fixed rule for vibratory polishing time as this depends on many factors. One of the main factors is the amplitude strength, which is adjustable on ...Missing: rotary | Show results with:rotary
  29. [29]
    Metallographic grinding and polishing insight | Struers.com
    The preparation time is stated in minutes. It should be kept as short as possible to avoid artifacts such as relief or edge rounding. Depending on the specimen ...
  30. [30]
    [PDF] Buehler's Guide to Materials Preparation
    Polishing with diamond abrasive does not remove the embedded particles, but alumina does. SiC embedded in Pb (after 1-µm diam). 5 min polish with 0.05-µm Al. 2.
  31. [31]
    Metallographic Polishing Guide: Step-by-Step Mirror-Finish ... - Metkon
    Aug 7, 2025 · For plane grinding, 45-60 seconds per paper grade is usually sufficient. Intermediate polishing with diamond suspensions is 3-5 minutes per ...
  32. [32]
    Metallographic Etching - Buehler - Metallography Equipment ...
    Nov 15, 2021 · Metallographic etching is done by immersion or by swabbing (or electrolytically) with a suitable chemical solution that essentially produces selective ...
  33. [33]
    Metallographic etching insight | Struers.com
    The principle of electrolytic etching is the same as that of chemical etching, except that the specimen is placed as an anode in a galvanic cell, resulting in ...
  34. [34]
    A Guide to Etching Specialty Alloys for Microstructural Evaluation
    There are three basic methods of etching alloy samples – immersion, swabbing and electrolytic. In the first method, the sample is immersed in the etching ...
  35. [35]
    Etching In Metallography - Kemet International
    Nital: Nital is a commonly used etchant for stainless steel. It is a mixture of nitric acid and ethanol, typically with a concentration of 2-10% nitric acid.Electrolytic Sample... · Electrolytic Polishing &... · Metallographic Etching...
  36. [36]
    Key Techniques, Safety Tips & Choosing the Right Etchant - Metkon
    Jul 27, 2025 · Picral (4% picric acid in ethanol) is superior to Nital for revealing cementite in pearlitic microstructures. It produces greater contrast ...Missing: FeCl3 | Show results with:FeCl3
  37. [37]
  38. [38]
    (PDF) Electrolytic etching in welding metallography - ResearchGate
    This method can be applied for most metals and their alloys making it possible to obtain a properly etched surface.
  39. [39]
    Introduction to Metallographic Grinding and Polishing - AZoM
    Sep 13, 2021 · Grinding and polishing involve a step-by-step reduction of the roughness of a surface to access the undeformed structure.Missing: rotary per stage
  40. [40]
    Microscopy Basics | Numerical Aperture and Resolution
    Therefore, the theoretical resolution limit at the shortest practical wavelength (approximately 400 nanometers) is around 150 nanometers in the lateral ...
  41. [41]
    Contrast in Reflected Light Microscopy - Zeiss Campus
    Contrast in reflected light microscopy is achieved through brightfield, darkfield, polarized light, and differential interference contrast (DIC) techniques.<|separator|>
  42. [42]
    Anatomy of the Microscope - Köhler Illumination in Reflected Light
    Sep 20, 2018 · Köhler illumination provides glare-free light utilizing the maximum share of the objective's numerical aperture consistent with good contrast and resolution.
  43. [43]
    Metallographic Imaging Modes - Vacaero
    Mar 1, 2015 · Common metallographic imaging modes include bright field, cross-polarized light, differential interference contrast (DIC), and dark field ...
  44. [44]
    [PDF] the metallographic examination of archaeological artifacts
    The conventional form of illumination by which metallographic specimens are illuminated for microscopic examination is known as bright-field illumination --a.
  45. [45]
    [PDF] Metallography and Microstructure of Ancient and Historic Metals
    This volume is an attempt to provide a measured amount of infor mation regarding the techniques of metallogra phy as they apply to ancient and historic metals.
  46. [46]
    Illumination Modes - metallography.com
    Metallurgical microscopes usually employ synthetic Polaroid sheet filters for both the polarizer and analyzer. The polarizer is generally placed in the light ...
  47. [47]
    [PDF] The World Beyond Brightfield Illumination! - Buehler
    Darkfield and DIC both generate improved image contrast for many microstructures. The selfluminous effect produced by darkfield offers increased resolution and ...
  48. [48]
    Principles of Birefringence | Nikon's MicroscopyU
    Birefringence is defined as double refraction of light in a transparent, molecularly ordered material that is caused by the existence of ...
  49. [49]
    The Polarization Microscopy Principle - Leica Microsystems
    Oct 31, 2024 · Birefringence means a ray of unpolarized light is divided into two rays by refraction when passing through the material. Birefringent materials ...
  50. [50]
    Polarized Light Microscopy - The Quartz Wedge Compensator
    Nov 13, 2015 · The quartz wedge is a simple, semi-quantitative compensator designed around a crystalline block of quartz cut with an elongated wedge angle.Missing: metallography | Show results with:metallography
  51. [51]
    Reflected Light DIC Microscopy | Nikon's MicroscopyU
    A significant difference between differential interference contrast in transmitted and reflected light microscopy is that two Nomarski (or Wollaston) prisms are ...
  52. [52]
    Differential Interference Contrast (DIC) Microscopy | Learn & Share
    Apr 27, 2023 · One example is the Nomarski prism. It consists of two birefringent wedges as well, but only one wedge is identical to the one in a Wollaston ...
  53. [53]
  54. [54]
    (PDF) Polarized Light Microscopy - an Essential Method for the ...
    Aug 7, 2025 · PDF | Polarized Light Microscopy – an Essential Method for the Investigation of the Recrystallization of Aluminum Alloys - Volume 9 Issue ...
  55. [55]
    Scanning Electron Microscopy | Materials Science - NREL
    Jan 14, 2025 · SEM scans a high-energy (0.1-30 keV) beam of electrons across a sample, which generates a variety of interactions and characteristic signals.
  56. [56]
    [PDF] sem-basic-knowledge.pdf - St. Cloud State University
    When the specimen is irradiated with a fine electron beam (called an electron probe), secondary electrons are emitted from the specimen surface. Topography of ...
  57. [57]
    [PDF] Scanning Electron Microscope (SEM) - Duke Computer Science
    Back-scattered electrons (BSE): they are beam electrons that are reflected from the sample by elastic scattering.<|separator|>
  58. [58]
    [PDF] Handbook of Sample Preparation for Scanning Electron Microscopy ...
    In the SEM, the imaging system depends on the specimen being sufficiently electrically conductive to ensure that the bulk of the incoming electrons go to ground ...<|control11|><|separator|>
  59. [59]
    [PDF] Introduction to the Scanning Electron Microscope
    Backscattered electrons use a similar detector to that of a secondary detector, with one notable exception, there are no positive voltages applied to it.
  60. [60]
    Scanning Electron Microscopy
    Backscattered electrons will have an energy range from 50eV (electron volts) up to the accelerating potential the SEM is being operated at. Elastic scattering ...Missing: principles | Show results with:principles
  61. [61]
    The application of scanning electron microscopy to fractography
    Scanning electron microscopy has a prominent role in fractography due to three features of the scanning electron microscope (SEM): high resolution, great depth ...
  62. [62]
    Automated SEM/EDS for Monitoring Steel Inclusions | ASTM
    SEM with EDS is an essential tool to identify steel inclusions and their source of origin quickly and accurately and improve the quality of the.
  63. [63]
    Overview of application of automated SEM/EDS measurements for ...
    Apr 10, 2024 · This paper reviews the use of the automated scanning electron microscope equipped with the energy dispersive spectroscope (SEM-EDS) to ...
  64. [64]
    [PDF] Metallographic Sample Preparation Techniques - Eprints@NML
    Scanning electron microscope with resolution upto 5nm and magnification nearly 2.00,W times are used for observing much finer details. Due its high depth of ...
  65. [65]
    Transmission Electron Microscopy - Nanoscience Instruments
    Transmission electron microscopy (TEM) is an analytical technique used to visualize the smallest structures in matter, magnifying nanometer structures up to 50 ...Missing: defect | Show results with:defect
  66. [66]
    Transmission Electron Microscopy Techniques for Materials Science
    High-resolution transmission electron microscopy (TEM) is capable of visualizing the atomic-scale organization of atoms in a broad range of samples, helping ...Tem Sample Preparation · High-Resolution Tem And Stem · Electron Energy-Loss...
  67. [67]
    Atomic-resolution transmission electron microscopy of ... - Science
    Jan 18, 2018 · High-resolution transmission electron microscopy is an invaluable tool for looking at the crystalline structures of many materials.
  68. [68]
    Electron Diffraction Using Transmission Electron Microscopy - PMC
    Because a selected area diffraction pattern can be recorded from almost every grain in a polycrystalline material, reciprocal lattices (≡crystal structures) and ...
  69. [69]
    Electropolishing of Thin Metal Foils - SpringerLink
    It has been almost a quarter of a century since Heidenreich (1) successfully thinned aluminum metal for transmission electron microscopy via electropolishing.
  70. [70]
    Electro-polishing - TEM - MyScope
    This technique is only relevant to metal samples. It uses a temperature controlled bath and a flow of current. The bath acts as an electrolyte.
  71. [71]
    Understanding and removing FIB artifacts in metallic TEM samples ...
    FIB-SEMs offer a tremendous advantage in terms of site-specific sample preparation and producing small micron sized samples from starting materials ranging from ...
  72. [72]
    Application of FIB in the preparation of TEM specimens of ...
    Preparation of TEM lamellae through FIB milling of initially thinned pre-samples began in the late 1980s, the so called H-bar method being the first ...
  73. [73]
    TEM sample prep CAMM | Materials Science and Engineering
    Ion mill the top and bottom surfaces until they are electron transparent (3mm dia by <100nm thick); Plasma clean. Sputtering of specimen due to Ion Milling.
  74. [74]
    On the role of transmission electron microscopy for precipitation ...
    Jul 2, 2021 · The TEM has sufficient resolving power to image even the finest precipitates, and with TEM-based microanalysis, overall quantitative data such ...
  75. [75]
    [PDF] Electron Diffraction Using Transmission Electron Microscopy
    Electron diffraction via the transmission electron microscope is a powerful method for characterizing the structure of materials, including perfect crystals ...
  76. [76]
    Quantitative TEM study of the precipitation microstructure in ...
    High-resolution TEM allows the identification of the precipitates and the measurement of the precipitate sizes to be performed. Conventional TEM is used to ...Missing: metallurgy defect
  77. [77]
    Effects of precipitates and dislocation loops on the yield stress of ...
    May 2, 2018 · We study the combined effect of precipitates and interstitial glissile dislocation loops on the yield stress of iron, using large-scale three-dimensional ...
  78. [78]
    In-situ TEM study of the dynamic interactions between dislocations ...
    Oct 15, 2018 · The results showed that dislocations were pinned by the semi-coherent Cr precipitates and exhibited a typical intermittent gliding.Missing: metallurgy | Show results with:metallurgy
  79. [79]
    The future of atomic resolution electron microscopy for materials ...
    The field of atomic-resolution transmission electron microscopy and its application to materials science is reviewed.Introduction · Quantitative Hrem Image... · Applications Of Hrem In...
  80. [80]
    Recent Developments of Crystallographic Analysis Methods in the ...
    Oct 26, 2017 · This article reviews the complete set of tools for crystallographic analysis in the SEM, ie, electron backscatter diffraction (EBSD), transmission Kikuchi ...
  81. [81]
    None
    ### Summary of EBSD Setup and Applications in Metallography
  82. [82]
    EDAX OIM Analysis
    The premier microstructural visualization and analysis tool for interrogating and understanding electron backscatter diffraction (EBSD) mapping data.Edax Oim Analysis · Get A Head Start On Your... · All The Tools You Need To...
  83. [83]
    Application of electron backscatter diffraction to the study of phase transformations - A. F. Gourgues-Lorenzon, 2007
    ### Summary of EBSD Applications in Phase Identification in Alloys and Recrystallization Studies in Metallurgy
  84. [84]
    [PDF] X-ray Diffraction (XRD)
    To satisfy Bragg's Law, θ must change as d changes. e.g., θ decreases as d increases. λ = 2dhklsinθhkl. Different planes have different spacings. Page 12 ...
  85. [85]
    [PDF] Back-to-Basics tutorial: X-ray diffraction of thin films
    Oct 13, 2021 · Cu K𝛼 radiation will cause materials containing Fe and Co to fluoresce as they are irradiated, making use of a differ- ent anode material ...
  86. [86]
    X-ray Diffraction Techniques for Mineral Characterization - MDPI
    Its full spectrum fitting method of Rietveld refinement can be used for revealing structural and content information of all phases present in the sample mixture ...
  87. [87]
    [PDF] A MODIFICATION OF THE NORELCO DIFFRACTOMETER FOR ...
    METALLOGRAPHIC SPECIMENS. X-ray diffraction methods are frequently used to supplement metallographic examina tion in order to identify the phases present in ...
  88. [88]
    [PDF] Chapter 7: Basics of X-ray Diffraction
    In a rolled metal sheet it is natural to choose the x, y and z directions of the sample coordinate system along the roll- ing direction, transverse direction ...
  89. [89]
    X-Ray Diffraction Analysis of Structural Changes Induced by ...
    The basics of residual stress measurement by X-ray diffraction based on the sin2ψ method are explained. Microstructural analysis is performed on bearing ...
  90. [90]
  91. [91]
    Spatially resolved acoustic spectroscopy for rapid imaging of ...
    Mar 14, 2014 · Spatially resolved acoustic spectroscopy is an acoustic technique utilizing surface acoustic waves to map the grain structure of a material.
  92. [92]
    Spatially resolved acoustic spectroscopy for selective laser melting
    Spatially resolved acoustic spectroscopy (SRAS) is a technique for material characterisation based on robustly measuring the surface acoustic wave velocity.Missing: metallography | Show results with:metallography
  93. [93]
    Imaging Microstructure on Optically Rough Surfaces Using Spatially ...
    Mar 8, 2023 · Spatially resolved acoustic spectroscopy can be used to measure the microstructure, and this paper presents the capability on a range of surface finishes.
  94. [94]
    Imaging Material Texture of As-Deposited Selective Laser Melted ...
    ... Spatially resolved acoustic spectroscopy (SRAS) is a laser ultrasound inspection technique used to image material microstructure of metals and alloys. SRAS ...
  95. [95]
    Introduction to Stereological Principles - Vacaero
    Dec 7, 2011 · The volume fraction was first estimated by areal analysis by Delesse, a French geologist, in 1848. He showed that the area fraction was an ...Missing: Delessé | Show results with:Delessé
  96. [96]
    Quantitative Image Analysis, Part 1 Principles - metallography.com
    The relationship between lineal analysis and volume fractions, LL= VV (i.e., the lineal fraction equals the volume fraction) was demonstrated by Rosiwal in 1898 ...Missing: Delessé | Show results with:Delessé
  97. [97]
    E112 Standard Test Methods for Determining Average Grain Size
    Sep 30, 2025 · 4.1 These test methods cover procedures for estimating and rules for expressing the average grain size of all metals consisting entirely, ...Missing: stereology | Show results with:stereology
  98. [98]
    [PDF] Statistics of Grain Size Distributions
    Apr 28, 2014 · ▫ Both these approaches assume log-normal distributions of grains; but are grain size distributions really log-normal? K.J. Kurzydlowski ...
  99. [99]
    Metallographic Evaluation—Guidelines for Performing and Reporting
    Some simple examples of hypotheses that can be formulated with respect to steels and tested using metallographic techniques are: The austenitizing temperature ...
  100. [100]
    Fiji is an image processing package—a “batteries-included ...
    Fiji is an image processing package—a “batteries-included” distribution of ImageJ2, bundling a lot of plugins which facilitate scientific image analysis.Missing: metallographic Clemex Buehler
  101. [101]
    Automated Image Analysis System | Solutions | Microscopy
    Clemex provides automated image analysis software and hardware for measuring objects in digital images, extracting size, shape, and volume for applications ...Missing: metallographic ImageJ Fiji Buehler
  102. [102]
    Image & Analysis Software for Metallographic Sample Preparation
    OmniMet software offers powerful image analysis, flexible database, and integrates with microscopes and cameras. It can view, analyze, and import images in ...
  103. [103]
    An end-to-end computer vision methodology for quantitative ... - Nature
    Mar 21, 2022 · This work presents a holistic few-shot artificial intelligence model for Quantitative Metallography, including Anomaly Detection, that automatically quantifies ...Introduction · Material Science And... · Anomaly Detection Measures
  104. [104]
    Serial sectioning in the SEM for three dimensional materials science
    Here we explore the range of serial sectioning techniques that have evolved over the past decade, providing a comprehensive toolkit for capturing rich 3D ...
  105. [105]
    [PDF] Error and Uncertainty in Metallographic Measurement - TECHNotes
    The objective of this work is to separate and examine some of the individual sources of uncertainty that are typical of measurements in optical examination of ...
  106. [106]
    Digitized microstructure and rose diagrams of grain boundary...
    Grain boundary orientation is presented in rose diagrams corresponding to circular histograms of grain bound- aries frequency (Fig. 2). All data obtained from ...Missing: metallography | Show results with:metallography
  107. [107]
    Metallographic Control of Heat Treatment - SpringerLink
    The aspect of metallography as a quality control tool in heat treatment will be discussed principally from the standpoint of its use in controlling the heat ...
  108. [108]
    Microstructural Analysis of Ballistic Tests on Welded Armor Steel Joints
    May 15, 2013 · The HAZ is also visible in the macrostructure. The undiluted hardfaced region (Fig. 2f) contains homogeneous cast-like structure and is composed ...
  109. [109]
    [PDF] Failure Analysis and Fracture
    Fatigue: A mechanism by which a crack initiates and grows under the application of cyclic stresses below the tensile strength. Page 36. 36. Fatigue Features. • ...
  110. [110]
    [PDF] Recognition and Analysis of Corrosion Failure Mechanisms
    Components that undergo corrosion fatigue often show features that are similar to fatigue fractures, along with severe corrosion of the fracture surface. The.
  111. [111]
    Defects as a root cause of fatigue failure of metallic components. I
    Defects such as non-metallic inclusions, cavities, scratches and corrosion pits, but also surface roughness are often treated as cracks in fracture ...
  112. [112]
    A critical review on the effects of process-induced porosity on the ...
    Mar 11, 2022 · While recent advances have allowed the porosity level to be reduced to a minimum, consistent porosity-free fabrication remains elusive.Tensile Properties · Fatigue Life · Impact And Fracture...<|separator|>
  113. [113]
    [PDF] Oxidation and Alpha–Case Phenomena in Titanium Alloys used in ...
    ABSTRACT. Titanium and its alloys are attractive engineering materials in aerospace industry because of their outstanding mechanical properties such as high ...
  114. [114]
    [PDF] Fundamental Studies: Inspection Properties for Engine Titanium Alloys
    This study examines the relationship between microstructure and detectability of defects in titanium alloys using ultrasonic inspection, focusing on Ti-6A1-4V ...
  115. [115]
    PLATO-HA Series | Boost Lab Efficiency with Smart Polishing
    1. How Automatic Polishing Enhances Lab Workflow · Reduced operator time · Minimized human error · Faster turnaround on sample prep.
  116. [116]
  117. [117]
    An AI framework for time series microstructure prediction ... - Nature
    Jul 5, 2025 · The proposed AI-driven framework provides a fast, cost-effective, and accurate method for predicting texture evolution in polycrystalline ...Missing: metallography | Show results with:metallography
  118. [118]
    Deep Learning based Defect classification and detection in SEM ...
    Nov 3, 2022 · In this research work, we have demonstrated the application of Mask-RCNN (Regional Convolutional Neural Network), a deep-learning algorithm for ...
  119. [119]
  120. [120]
    Emerging Trends in Metallurgical Testing: Shaping 2025 & Beyond
    Feb 28, 2025 · Robotic sample preparation, automated hardness testing, and AI-powered microscopy are streamlining laboratory workflows and enhancing overall ...Missing: 2020-2025 | Show results with:2020-2025
  121. [121]
    Innovations in Metallurgical Equipment: What's New in 2025 - Metsuco
    Feb 28, 2025 · Artificial intelligence (AI) has revolutionized metallurgical microscopy by enabling automated image analysis, defect detection, and ...<|control11|><|separator|>