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Heat-affected zone

The heat-affected zone (HAZ) is the non-melted portion of the base material, adjacent to a or thermal cut, that experiences microstructural alterations and changes in mechanical properties due to exposure to elevated temperatures from the or cutting process. This zone lies between the fusion zone (where occurs) and the unaffected parent metal, and its characteristics are determined by the thermal cycle, including peak temperature, heating and cooling rates, and duration of exposure. The formation of the HAZ results from the heat input during processes such as , , or , where the is heated to temperatures below its but above those required for transformations or recrystallization. Factors influencing HAZ size and severity include the material's (e.g., higher in carbon steels at approximately 11.72 mm²/s compared to 4.2 mm²/s in stainless steels), heat input from the process, cooling rate, and joint geometry, with slower cooling or higher heat inputs generally expanding the zone. Within the HAZ, distinct subzones may develop based on distance from the heat source, such as a coarse-grained region near the fusion line prone to and a finer-grained area farther away that undergoes or tempering. These thermal effects often lead to detrimental property changes, including reduced and strength in some alloys (e.g., annealing of precipitation-hardened aluminum dropping yield strength from 46 to 24 ), increased brittleness due to formation in steels, or heightened susceptibility to from in stainless steels via precipitation. In high-strength steels, the HAZ can exhibit lowered and resistance, making it a potential weak link in welded joints and contributing to failures under load, , or intergranular cracking. Controlling the HAZ through optimized parameters, pre- or post-weld heat treatments, or advanced processes like is essential for ensuring weld integrity and performance in applications ranging from structural fabrication to components.

Definition and Formation

Definition

The heat-affected zone (HAZ) is the portion of the base material adjacent to the weld fusion zone whose microstructure and mechanical properties are altered by the heat of the welding process without undergoing melting. This region experiences thermal cycles that induce metallurgical transformations, distinguishing it from the fully melted weld metal and the unaffected base material farther away. In the context of the overall weld structure, the HAZ lies between the fusion zone and the parent metal, serving as a transitional area where heat conduction causes non-uniform property changes. The inner boundary of the HAZ is defined by the fusion line, the interface where the base material transitions from solid to the liquid phase during welding. The outer boundary occurs where the peak temperature falls below the levels required for significant metallurgical alterations, typically around 400–700°C for carbon and low-alloy steels, varying with the specific alloy composition and critical transformation temperatures. These boundaries delineate a region of thermal gradient, with temperatures decreasing progressively from near the melting point (over 1400°C for steels) at the fusion line to subcritical levels outward. Visually, the HAZ appears as a narrow, band along the weld edge, with widths typically ranging from 0.5 to 5 mm depending on factors such as heat input and material thermal properties, though it often measures 1–4 mm in common processes on structural steels. This variability underscores the HAZ's role as a localized zone of potential vulnerability in welded joints, requiring careful process control to minimize its extent.

Formation Mechanism

The heat-affected zone (HAZ) forms during thermal processes such as arc welding, laser welding, plasma cutting, or oxy-fuel cutting, where a primary heat source generates intense, localized heating in the base metal adjacent to the fusion zone. These processes concentrate energy—typically from an electric arc, focused laser beam, ionized plasma jet, or combustion flame—directly on or near the material surface, raising temperatures rapidly without melting the surrounding base metal. This localized input creates a steep temperature gradient that propagates heat into the parent material primarily through conduction, defining the boundaries of the HAZ as the region experiencing temperatures sufficient to induce metallurgical changes but below the melting point. The formation involves a characteristic thermal cycle characterized by rapid heating followed by cooling, which drives phase transformations in the material. Near the fusion line, peak temperatures can reach up to 1500°C, while further away, they decrease progressively; heating rates often exceed 100°C/s, and subsequent cooling rates in the HAZ typically range from 10 to 100°C/s, depending on the process and material thickness. This cycle alters the microstructure through solid-state reactions, such as austenitization in steels, without the material entering the liquid phase, thereby distinguishing the HAZ from the melted weld pool. The non-uniform thermal exposure leads to varying subzones within the HAZ, each defined by specific temperature thresholds during the cycle. Heat transfer in the HAZ is dominated by conduction from the heat source into the , with convective and radiative losses playing minor roles at the surface. The resulting heat flow patterns produce isotherms—lines of constant —that delineate the HAZ width, typically extending from the fusion boundary outward until temperatures drop below critical thresholds (e.g., around 700–800°C for many alloys). Analytical models approximate these patterns using solutions to the heat conduction equation for a moving , providing insight into distribution. One such seminal model, derived by Rosenthal, estimates the temperature T at a point with coordinates relative to the moving source as: T - T_0 = \frac{q}{2\pi k R} \exp\left( -\frac{v (R + x)}{2 \alpha} \right) where R = \sqrt{x^2 + y^2 + z^2}, x is the distance behind the source in the direction of motion, v is the source travel speed, q is the heat input rate, k is the thermal conductivity, \alpha is the thermal diffusivity, and T_0 is the ambient temperature. This quasi-stationary solution assumes a semi-infinite body and constant properties, offering a foundational tool for predicting HAZ boundaries under simplified conditions. Process variables significantly influence HAZ initiation and extent by modulating the heat source dynamics. For instance, higher travel speed reduces at each point, narrowing the heated region and limiting HAZ width, while the electrode type in affects stability and heat concentration, altering the initial profile. These factors interact with properties to shape the overall thermal input, but their primary role is in establishing the localized heating pattern that triggers HAZ formation.

Characteristics and Properties

Microstructural Changes

In steels, the heat-affected zone (HAZ) undergoes significant phase transformations driven by the thermal cycle of . Upon heating above the austenitization temperature (), the ferritic-pearlitic microstructure transforms to , which upon cooling reverts to new phases depending on the rate: rapid cooling produces in the coarse-grained HAZ near the fusion line, intermediate rates yield in the fine-grained HAZ, and slower cooling forms or ferrite in subcritical regions. Grain growth and coarsening occur prominently in the HAZ due to recrystallization at elevated temperatures. Near the fusion line, where peak temperatures exceed 1200–1400°C, prior grains coarsen rapidly through mechanisms like solute drag and pinning by particles such as TiN, leading to larger grains that diminish away from the weld interface as temperatures drop below recrystallization thresholds. and further alter the HAZ microstructure, particularly in alloy steels. precipitation, such as chromium-rich types, occurs at grain boundaries during post-weld heat treatments around 610°C, while solute elements like , , and segregate to boundaries and dislocations, with segregation intensifying over time due to diffusion-limited processes. In non-ferrous alloys, distinct microstructural evolutions take place in the HAZ. For aluminum alloys like Al-Mg-Si-Cu, heating to 464–500°C causes solutionizing, where strengthening precipitates (e.g., β'' and Q') dissolve into ; subsequent cooling or overaging leads to coarser Q' and Q precipitation, altering local and distribution. In such as TC21, thermal exposure above the β-transus (963°C) near the fusion zone induces partial α-to-β transformation, with rapid cooling forming martensitic α' alongside residual β and primary α; slower cooling or post-weld treatments shift to lamellar α+β structures. A representative example in low-alloy steels is the formation of Widmanstätten structures during slow cooling in the HAZ, where coarse grains nucleate acicular ferrite plates intragranularly, influenced by carbon content (peaking at 0.1% C) and cooling rates of 80–100 K/min, resulting in a characteristic basket-weave morphology.

Mechanical Property Alterations

The mechanical property alterations in the heat-affected zone (HAZ) arise primarily from microstructural changes, such as phase transformations including the formation of , which directly influence the material's performance. These changes create distinct variations across the HAZ, transitioning from the fusion line to the . Hardness in the HAZ typically increases near the fusion line due to rapid cooling that promotes formation in carbon steels. For instance, in high-carbon steels like 120Mn3Si2, can reach approximately 800 in the martensitic subzone adjacent to the fusion line, compared to 200-220 in austenitic regions further away. This hardening diminishes outward as and tempering occur, leading to softening in intercritical and subcritical subzones where partial austenitization allows for more ductile microstructures. Toughness and in the HAZ are often reduced, particularly in brittle zones formed by or martensite-austenite constituents, making the material prone to cracking under or low-temperature loading. Charpy impact tests on welded joints demonstrate this, with some configurations showing up to a 20% reduction in absorbed energy compared to the due to grain coarsening and embrittlement in the coarse-grained HAZ. In high-strength steels, the presence of martensite-austenite islands further contributes to a notable drop in , exacerbating loss by 10-58% in tensile depending on the steel grade and conditions. Residual stresses develop in the HAZ as a result of gradients and transformations, producing tensile stresses near the weld that can reach magnitudes comparable to the material's strength, such as up to 360 in low- welds. These stresses create compressive-tensile gradients across the HAZ, with peak tensile values often exceeding 200 and contributing to by imposing forces up to the yield point during cooling. In pipes, such gradients can lead to uneven deformation, where tensile stresses in the HAZ balance compressive stresses in surrounding areas. The HAZ serves as a preferential site for crack initiation due to its altered microstructure and concentrations, which lower the life compared to the . Harder HAZ regions may slow crack propagation by a factor of up to 2, but overall susceptibility increases from local raisers like grain boundaries or inclusions. Additionally, the HAZ exhibits heightened susceptibility, acting as a path for preferential attack or , particularly in welds where sensitization in the HAZ promotes localized . Property gradients in the HAZ manifest as a continuous in mechanical attributes from the through the HAZ to the weld metal, with , , and varying spatially due to differing peak temperatures and cooling rates. For example, in press-hardening steels, can decrease by 29-46% across the softened HAZ subzone compared to the martensitic , while elongation gradients reflect the shift from ductile base regions to brittle near-fusion areas. These gradients ensure metallurgical continuity but can create weak links in the joint if not managed.

Influencing Factors

Welding Parameters

Welding parameters play a critical role in controlling the heat-affected zone (HAZ) by influencing the thermal cycle experienced by the base material adjacent to the . The primary parameter is heat input, which quantifies the energy delivered to the per unit and directly determines the extent of heat . Heat input H is calculated using the H = \frac{V \times I \times 60}{S \times 1000} in kJ/mm, where V is the voltage in volts, I is the welding current in amperes, and S is the travel speed in mm/min. Higher heat input widens the HAZ by prolonging the time above critical temperatures, leading to greater microstructural alterations in the . Welding current and voltage are key electrical parameters that affect heat generation and distribution. Increasing current enhances energy, resulting in deeper and a broader HAZ due to increased into the material. Similarly, higher voltage lengthens the , promoting wider heat dispersion and HAZ enlargement through greater stability and energy transfer. Travel speed inversely impacts HAZ size by modulating of the heat source. Faster travel speeds reduce overall heat input, limiting thermal exposure and narrowing the HAZ. This effect stems from shorter residence times below the , minimizing diffusion-driven changes in the HAZ. Different processes exhibit varying HAZ characteristics due to their heat source focus and efficiency. (GTAW) produces a narrower HAZ compared to (SMAW) because of its concentrated arc and lower overall heat input, which restricts thermal spreading. Laser welding achieves the narrowest HAZ, often less than 0.5 mm, owing to its high-energy density and rapid cooling rates that confine heat to a precise zone. Shielding gases indirectly influence HAZ characteristics by protecting the weld pool and adjacent areas from atmospheric contamination. , as an , minimizes oxidation and absorption in the HAZ, preserving the base material's and reducing brittle formation during cooling.

Material Composition

The of the base material profoundly affects the extent, microstructure, and properties of the heat-affected zone (HAZ) during processes. In carbon steels, carbon content is a primary determinant of HAZ characteristics. Steels with high carbon levels exceeding 0.3% exhibit wider and harder HAZ regions due to enhanced , which facilitates the formation of martensitic structures under rapid cooling rates typical of thermal cycles. Conversely, low-carbon steels (typically <0.3% C) produce narrower and softer HAZs, as their lower limits phase transformations and results in more ductile microstructures like ferrite and pearlite. Alloying elements further modulate HAZ behavior by altering phase stability and transformation kinetics. Chromium and nickel act as austenite stabilizers, expanding the temperature range for austenitic phase formation and delaying ferrite transformation in the HAZ, which can refine grain structure but also increase susceptibility to certain defects under thermal cycling. In contrast, sulfur promotes hot shortness by forming low-melting-point iron sulfides along grain boundaries, heightening the risk of cracking in the HAZ during hot working or welding due to reduced ductility at elevated temperatures. These effects interact with welding heat input, where higher inputs exacerbate sulfur-induced brittleness in sulfur-bearing steels. In non-ferrous alloys like stainless steels, non-metallic inclusions and carbide formers drive specific HAZ vulnerabilities. Austenitic stainless steels are prone to sensitization in the HAZ when exposed to temperatures between 500°C and 800°C, where chromium carbides precipitate at grain boundaries, depleting adjacent regions of chromium and rendering the material susceptible to intergranular corrosion. This phenomenon is more pronounced in standard grades with carbon contents above 0.03%, as opposed to low-carbon "L" variants designed to minimize precipitation. Material thickness, tied to thermal conductivity and heat dissipation, also influences HAZ dimensions based on composition-dependent properties. Thicker plates in conductive alloys like steels efficiently conduct heat away from the weld, resulting in narrower HAZ widths by shortening exposure times to critical temperatures. Thin sheets, however, experience rapid heating and less effective dissipation, leading to wider HAZs with more extensive microstructural alterations. Representative examples highlight composition-specific risks in other alloys. In aluminum-magnesium alloys, elevated magnesium content (e.g., >4% in series 5xxx) sensitizes the HAZ to cracking, as low-melting eutectics form along grain boundaries during , promoting crack propagation under shrinkage stresses.

Analysis and Prediction

Measurement Techniques

The heat-affected zone (HAZ) in welded components is typically measured using a combination of destructive and non-destructive techniques to delineate its boundaries, assess its extent, and characterize its post-welding. These methods rely on revealing microstructural differences, property gradients, or signatures induced by the input. Destructive approaches involve sectioning the weld and preparing samples for analysis, while non-destructive methods enable in-situ or real-time evaluation without compromising the component. Macroscopic examination of the HAZ often employs chemical to visually delineate the zone from the and fusion area. A common technique is nital etching, which uses a 2% solution in applied to polished cross-sections of the weld; this reveals the HAZ boundaries through differential attack on microstructures, observable under optical at low magnifications. The etched surface highlights grain coarsening or transformations in the HAZ, allowing of its width, typically on the order of millimeters depending on heat input. This method is widely used for steels due to its simplicity and effectiveness in post-weld metallographic preparation. Hardness profiling provides a quantitative measure of HAZ extent by traversing the weld cross-section with indentations, identifying the zone through elevated values resulting from rapid heating and cooling. Vickers micro testing (e.g., with a 300 g load) or Rockwell is performed along a line perpendicular to the weld, revealing peaks in the HAZ often exceeding 300 due to formation in carbon steels. For instance, in multipass welds, traverses can map subzones like the coarse-grained HAZ, where values may reach 350 or higher, correlating with altered mechanical properties such as increased . This technique is standard for in industries like . Microscopic analysis using scanning electron microscopy (SEM) coupled with (EDS) enables detailed characterization of HAZ microstructures and compositions. SEM imaging at high magnifications (e.g., 1000x) visualizes phase distributions, such as or islands, while EDS mapping detects elemental segregation or inclusions within the HAZ. In duplex stainless steels, for example, EDS reveals shifts in ferrite-austenite balance across the HAZ, aiding in the identification of intercritical subzones. This approach is particularly valuable for understanding localized property variations but requires similar to . Non-destructive techniques offer alternatives for in-process or post-weld assessment without sectioning. (UT) detects property gradients in the HAZ by measuring acoustic velocity changes or attenuation across the weld, using phased-array probes to scan the zone adjacent to the fusion line. Standards like ASTM E273 specify UT procedures for examining the weld and HAZ for discontinuities, with sensitivity to detect flaws as small as 1 mm in thickness. Thermal imaging during welding employs infrared cameras to map isotherms in real-time, estimating HAZ width based on temperature profiles exceeding the material's recrystallization threshold (e.g., 700°C for low-carbon steels). High-speed IR thermography captures cooling rates, correlating them to HAZ softening or hardening risks. Characterization of HAZ follows established standards to ensure reproducibility and comparability. ASTM E1921 provides guidelines for determining reference temperatures in ferritic welds, including HAZ regions, through fracture toughness testing that accounts for microstructural heterogeneity in the zone. This standard emphasizes sampling protocols to capture HAZ-specific properties, such as in multi-pass welds where the zone exhibits bimodal toughness distributions.

Modeling Approaches

Finite element analysis (FEA) is a widely adopted computational method for simulating transient in welding processes to predict the dimensions and temperature profiles of the heat-affected zone (HAZ). Software such as enables detailed modeling by solving coupled thermal-metallurgical s, often incorporating heat source models like the Rosenthal point source or the more advanced Goldak double-ellipsoid model to represent the 's energy distribution more realistically. The Rosenthal model assumes a point heat source moving at constant speed, deriving temperature fields from analytical solutions to the heat conduction , which provides a foundational for quasi-stationary conditions in thick plates. In contrast, the Goldak model uses a double-ellipsoidal volume distribution to better capture the weld pool geometry and variations ahead and behind the , improving accuracy for predicting HAZ boundaries in finite geometries. These FEA simulations allow pre-fabrication optimization by inputting parameters like , voltage, and speed to forecast HAZ extent, typically achieving errors below 10% when validated against experimental data for steels. Empirical models offer simpler, analytical predictions of HAZ width based on parameters, avoiding the computational intensity of FEA. A common formulation estimates the HAZ width w as w = k \sqrt{\frac{H}{v}}, where k is a material-specific constant (e.g., around 10-20 mm/√(kJ/mm) for low-carbon steels), H is the heat input per unit length (in kJ/mm), and v is the speed (in mm/s). This stems from one-dimensional heat conduction , approximating the HAZ as the region where peak temperatures exceed the material's critical point, and is particularly useful for quick assessments in of mild steels, where low heat inputs (<23 kJ/cm) show minimal width variation. Such models are calibrated from experimental data and provide reasonable estimates for HAZ size in carbon steels, though they neglect complex geometries and phase changes. Phase transformation kinetics in the HAZ are predicted by integrating continuous cooling transformation (CCT) diagrams with thermal models derived from FEA or empirical approaches. CCT diagrams map cooling rates to microstructural phases (e.g., martensite, bainite, or ferrite) in the HAZ, enabling forecasts of post-weld properties like hardness based on simulated thermal cycles. For low-alloy steels, these diagrams are constructed from dilatometry experiments simulating HAZ conditions, revealing transformation start and finish temperatures as functions of cooling rate (t8/5, time from 800°C to 500°C). When coupled with thermal simulations, CCT-based models accurately predict HAZ microstructures, such as coarse-grained regions prone to softening, and guide parameter selection to avoid brittle phases. This approach overcomes limitations of isothermal TTT diagrams by accounting for continuous cooling typical in welding. Advanced modeling leverages artificial intelligence and machine learning (AI/ML) to enhance prediction accuracy from large datasets, often integrated into software like Sysweld for HAZ simulations in . ML algorithms, such as hybrid neural networks, train on experimental thermal cycles and microstructural data to predict CCT diagrams and properties like hardness, achieving classification accuracies up to 100% for phase identification and strong agreement (R² > 0.9) with measured values in low- steel HAZ. These data-driven methods extrapolate beyond traditional physics-based models, incorporating variables like composition for 90% overall accuracy in steel HAZ width and predictions, particularly valuable for multi-pass welds. Despite their utility, HAZ modeling approaches often rely on assumptions of isotropic material properties, which overlook real-world arising from rolling or prior processing in base metals, leading to inaccuracies in and distortion predictions. For instance, FEA codes like exhibit limitations when assuming in welded aluminum joints, underestimating localization in anisotropic HAZ regions and necessitating advanced anisotropic constitutive models for reliable results.

Effects and Mitigation

Potential Impacts

The heat-affected zone (HAZ) in welded structures is a primary site for failure initiation due to its altered microstructure and residual stresses, leading to critical engineering consequences. One prominent failure mode is hydrogen-induced cracking in high-strength steels, where diffusible hydrogen trapped during welding combines with tensile stresses to cause delayed, brittle fractures in the HAZ, often occurring hours or days post-welding. Another key mode is stress corrosion cracking in pipeline welds, where the HAZ's coarse-grained regions exhibit approximately 30% higher crack velocities than the base metal, driven by localized corrosion and environmental factors like carbonate-bicarbonate solutions at high pH. These failures compromise structural integrity, particularly in high-pressure systems. In components, the HAZ contributes to reduction through accelerated crack propagation under cyclic loading, with cracks in coarse-grained HAZ regions growing faster than in fine-grained zones or base material, potentially limiting component lifespan by promoting early initiation and propagation. Economically, addressing HAZ-related defects imposes significant costs; in , weld repair activity can account for approximately 10% of overall fabrication costs, stemming from labor-intensive repairs and delays in fabrication. These impacts underscore the need for rigorous in welded assemblies. Historical and contemporary case studies illustrate the HAZ's role in catastrophic failures. The 1980 Alexander L. Kielland offshore platform collapse, which claimed 123 lives, was caused by a crack originating from a defective weld in a critical brace, combined with lamellar tearing in the flange plate.) In automotive crash zones, softened HAZ in spot-welded advanced high-strength steels, such as Usibor 1500, shifts failure modes from ductile pull-out to interfacial cracking, reducing energy absorption and increasing injury risk during impacts. While predominantly detrimental, the HAZ can yield positive outcomes in select scenarios, such as the formation of tempered , which enhances wear resistance via improved and compared to untempered structures. This benefit is observed in applications requiring abrasion resistance, where controlled heat input refines the HAZ microstructure without compromising overall performance.

Control Strategies

Control strategies for managing the heat-affected zone (HAZ) in primarily involve adjustments to process parameters, thermal treatments, and choices to minimize microstructural alterations, stresses, and in the HAZ. These approaches aim to slow cooling rates, refine microstructures, and ensure compatibility between the weld and base , thereby enhancing overall joint integrity. Recent advancements, such as models for predicting HAZ properties (as of 2025), further enhance control strategies. Preheating the before is a key to control HAZ effects, particularly in steels prone to hardening. By raising the temperature to 100-300°C, preheating slows the cooling rate post-weld, which reduces the formation of brittle in the HAZ and minimizes the risk of cold cracking. This practice is mandated in ASME codes for low- steels, where preheat levels are specified based on material thickness and to prevent hydrogen-induced issues and promote . For instance, in P-No. 5A group steels under ASME B31.3, preheats of 121-177°C (250-350°F) are typically required depending on thickness to achieve uniform HAZ microstructures. Post-weld (PWHT) serves as an effective method to mitigate HAZ hardening and residual stresses after . Tempering at 550-650°C relieves internal stresses and softens the martensitic structures in the HAZ, thereby restoring and in materials like 4140 . This , often held for 1-2 hours followed by controlled cooling, transforms brittle phases into more ductile ones, reducing the susceptibility to brittle fracture. PWHT is particularly beneficial for quenched and tempered , where it prevents crack propagation by balancing and elongation in the HAZ. Optimizing parameters to achieve low heat input is another strategy to limit HAZ size and severity, as heat input directly influences the width and thermal exposure of the zone. Processes like (FSW), which operate below the , generate minimal heat and confine the HAZ to less than 1 mm in alloys such as aluminum, preserving base material properties without significant softening or grain coarsening. In FSW, rotational speeds of 800-1200 rpm combined with travel speeds of 100-300 mm/min can maintain HAZ widths under 0.8 mm, enhancing joint strength by avoiding over-tempering. Selecting appropriate filler materials helps blend properties across the HAZ and weld interface, reducing mismatch in strength and corrosion resistance. Matching fillers, which closely replicate the base metal's composition, ensure seamless integration, while over-alloyed fillers provide enhanced properties to compensate for HAZ dilution effects in high-strength steels. For example, using ER80S-D2 filler for Cr-Mo steels over-alloys the weld to improve creep resistance and HAZ toughness under service loads. This selection criterion prioritizes compatibility to avoid galvanic corrosion or embrittlement at the HAZ boundary. Adherence to standards and best practices provides structured guidelines for HAZ control in structural applications. The AWS D1.1 Structural Code outlines requirements for preheat, interpass temperatures, and PWHT to regulate heat input and prevent HAZ defects in carbon and low-alloy steels used in buildings and bridges. These guidelines specify maximum heat inputs (e.g., 50-70 kJ/in for ) and mandatory PWHT for thicknesses over 25 mm to ensure HAZ hardness below 350 , promoting reliable performance. Compliance with AWS D1.1 has been shown to reduce HAZ-related failures in seismic zones by standardizing control measures.

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