Fact-checked by Grok 2 weeks ago

Magnetic circuit

A magnetic circuit is a closed path through which flows, typically consisting of a ferromagnetic such as iron or that confines and directs the flux, much like an electric circuit confines . The fundamental principles of magnetic circuits draw a direct analogy to electric circuits, where (MMF) acts like (voltage), (Φ) acts like , and reluctance (ℛ) acts like . MMF is generated by coils carrying and is quantified as MMF = N × I, where N is the number of turns and I is the in amperes, yielding units of ampere-turns. , measured in webers (Wb), relates to MMF via for magnetic circuits: Φ = MMF / ℛ. Reluctance, in ampere-turns per weber (A/Wb), depends on the circuit's geometry and material properties, given by ℛ = l / (μ × A), where l is the mean path length, A is the cross-sectional area, and μ is the permeability of the material. Permeability μ = μ₀ × μᵣ, with μ₀ as the permeability of free space (4π × 10⁻⁷ H/m) and μᵣ as the , which is high (e.g., ~4000 for ) in ferromagnetic materials to concentrate flux but low (~1) in air gaps that introduce significant reluctance. density B (in teslas, T) is then B = Φ / A = μ × H, where H is the intensity in A/m. Magnetic circuits are essential in numerous engineering applications, including transformers for power transfer, electric motors and generators for converting between electrical and mechanical forms, relays and solenoids for actuation, and electromagnets for lifting or systems. These devices often incorporate air gaps to adjust reluctance and prevent saturation, where B reaches a maximum (typically 1.5–2 T in common materials), limiting further increases despite higher . Analysis of complex circuits uses Kirchhoff's laws adapted for —sum of MMFs around a loop equals zero, and is conserved at junctions—enabling precise design and performance prediction.

Fundamental Concepts

Magnetomotive force

In magnetic circuits, the magnetomotive force (MMF), denoted as F, is defined as the line integral of the magnetic field strength \mathbf{H} around a closed path:
F = \oint \mathbf{H} \cdot d\mathbf{l}.
This quantity represents the total "driving force" that establishes the magnetic field along the path, analogous to electromotive force in electric circuits.
The SI unit of MMF is the ampere-turn (At), which arises from the product of current in amperes and the number of turns in a coil.
Historically, in the CGS electromagnetic system, the unit was the gilbert (Gb), defined such that F = 0.4\pi NI where N is the number of turns and I is the current in abamperes; the conversion is $1 Gb \approx 0.7958 At.
MMF is generated primarily by electric in , where for a with N turns carrying I, the MMF is F = NI.
This follows from applying the definition around a path encircling the , yielding the enclosed current linkage.
In Ampere's circuital , \oint \mathbf{H} \cdot d\mathbf{l} = I_{\text{enc}}, the MMF serves as the source term equal to the total enclosed I_{\text{enc}} (or NI for multi-turn ), driving the circulation of \mathbf{H}.

Magnetic flux

Magnetic flux is the fundamental quantity in a magnetic circuit that quantifies the total passing through a given surface, serving as the analog to in electrical circuits. It is defined mathematically as the surface integral of the \mathbf{B} over the surface area: \Phi = \int_S \mathbf{B} \cdot d\mathbf{A}, where d\mathbf{A} is the area to the surface. This integral accounts for both the magnitude and direction of \mathbf{B} relative to the surface, capturing the effective linkage of the through the circuit's cross-section. The SI unit of magnetic flux is the weber (Wb), defined such that one weber is the flux linking a single-turn that induces an of one volt when reduced to zero uniformly in one second. Since \mathbf{B} is measured in teslas (T), the weber relates dimensionally as 1 Wb = 1 T ⋅ m², emphasizing as the product of and area. In practical magnetic circuits, such as those in transformers or inductors, flux values are typically on the order of millwebers to webers, depending on the applied and geometry. Magnetic flux in a circuit is driven by the , which establishes the field responsible for the flux flow. In closed magnetic paths composed of high-permeability materials, flux is conserved, meaning the total flux entering a section equals the flux leaving it, provided leakage is negligible. This conservation principle stems directly from , \nabla \cdot \mathbf{B} = 0, which implies no magnetic monopoles exist and the net flux through any closed surface must be zero. Consequently, in idealized magnetic circuits without , the flux remains uniform along the loop, enabling straightforward analysis of field distribution.

Magnetic field strength

The magnetic field strength, denoted as H, represents the local magnetizing force or intensity of the at a point within a or space, driven primarily by free currents. It is defined through in its differential form, which states that the of H equals the free : ∇ × H = Jf, where Jf accounts for conduction currents excluding those induced by . This relation highlights H as the portion of the attributable to external or free sources, making it a fundamental quantity for analyzing magnetic interactions in circuits and devices. In the (SI), the magnetic field strength H is measured in amperes per meter (A/m), reflecting its direct proportionality to and geometric factors like path length. This unit underscores H's role as a driving force analogous to electric field strength in , but tailored to magnetostatics. A key distinction exists between H and the magnetic flux density B: while B encapsulates the total magnetic effect including responses, H remains independent of the medium's properties and depends solely on free s. In linear media, B = μ H, where μ is the permeability, but H itself does not vary with the , allowing it to serve as a universal measure across , air, or ferromagnetic substances. This independence enables H to be calculated from configurations without prior knowledge of magnetization. In magnetic circuits, is particularly significant in generating demagnetizing fields within ferromagnetic cores, where internal field oppositions reduce net , and in air gaps, where the low permeability of air causes to intensify dramatically to maintain , often dominating the circuit's reluctance. For instance, in gapped inductors or transformers, elevated in the can lead to fringing and altered , necessitating careful design to mitigate losses. The in such circuits arises as the of around a closed .

Reluctance Model

Reluctance

In magnetic circuits, reluctance is defined as the opposition to the establishment of , analogous to in electrical circuits. It quantifies how much () is required to produce a given magnetic flux in a magnetic path. The reluctance R is mathematically expressed as the ratio of the F to the \Phi: R = \frac{F}{\Phi} where F is measured in ampere-turns and \Phi in webers, yielding reluctance in units of ampere-turns per weber (or inversely, webers per ampere-turn). For a uniform magnetic path, the reluctance can be calculated geometrically as R = \frac{l}{\mu A} where l is the mean length of the magnetic path in meters, A is the cross-sectional area in square meters, and \mu is the permeability of the . Permeability serves as a key influencing reluctance, with higher values reducing R for a given . In composite magnetic circuits, reluctances combine similarly to resistances: for elements in series, the total reluctance is the sum of individual reluctances, R_\text{total} = R_1 + R_2 + \cdots; for paths, the reciprocal of the total reluctance is the sum of the reciprocals, \frac{1}{R_\text{total}} = \frac{1}{R_1} + \frac{1}{R_2} + \cdots. Reluctance is primarily affected by three factors: the material's permeability, which determines how easily flux passes through; the geometry of the path, including length and cross-sectional area; and the presence of air gaps, which introduce high reluctance due to the low permeability of air compared to ferromagnetic materials.

Permeability

Magnetic permeability, denoted as \mu, is defined as the ratio of the magnetic flux density B to the strength H, according to the relation \mu = \frac{B}{H}. This constant characterizes the material's response to an applied , determining the resulting flux density for a given , and has units of henry per meter (H/m). The absolute permeability \mu of a is often expressed relative to the permeability of free space \mu_0, a fundamental with the value \mu_0 = 4\pi \times 10^{-7} H/m. The dimensionless \mu_r is then defined as \mu_r = \frac{\mu}{\mu_0}, which quantifies the enhancement or reduction of the in the material compared to . In , \mu = \mu_0 and \mu_r = 1, while air exhibits a permeability nearly identical to , with \mu_r \approx 1. Ferromagnetic materials, such as iron and certain alloys, possess much higher relative permeabilities, typically ranging from hundreds to several thousand, enabling strong concentration of . For instance, pure iron can achieve \mu_r values exceeding 5,000 under optimal conditions, far surpassing non-magnetic materials. The effective permeability of conductive materials is indirectly influenced by their electrical due to currents induced by time-varying magnetic fields. These currents generate opposing fields that oppose changes, reducing the apparent permeability, especially at higher frequencies where effects become significant.

Hopkinson's law

Hopkinson's law, also known as the magnetic analog of , states that in a linear magnetic circuit, the F equals the product of the \Phi and the reluctance R, mathematically expressed as F = \Phi R where F is measured in ampere-turns (At), \Phi in webers (Wb), and R in At/Wb. This relation holds under the assumption of linear magnetic media, where the magnetization response is proportional and independent of the applied . The law is named after British physicist and engineer John Hopkinson, who developed and applied it in his investigations of magnetic properties during the , particularly in papers on the behavior of iron and alloys under magnetization. Hopkinson's work built upon foundational experiments by American physicist Henry Augustus Rowland, who first proposed the concept of a law akin to in a 1873 paper on magnetic permeability. This historical progression established the law as a cornerstone for analyzing magnetic circuits in . Hopkinson's law arises directly from the between electric and magnetic circuits in linear , where the constitutive B = \mu H (with \mu as permeability) leads to a proportional relationship between the driving force () and the resulting , mirroring voltage, current, and in V = I R. Reluctance R, which incorporates material permeability and geometric factors, serves as the magnetic counterpart to , enabling the direct application of this proportionality. The units of Hopkinson's law are dimensionally consistent: ampere-turns (At) on the left side match webers (Wb) multiplied by At/Wb on the right, confirming the equation's physical validity without additional conversion factors.

Electric circuit analogy

The electric circuit analogy provides a powerful framework for analyzing magnetic circuits by drawing direct parallels between electrical and magnetic quantities, facilitating intuitive design and computation. In this model, magnetomotive force (MMF), denoted as ℱ and measured in ampere-turns, corresponds to electromotive force (voltage) in electric circuits, as both drive the flow through the system. Magnetic flux Φ, in webers, is analogous to electric current I in amperes, representing the quantity that "flows" through the circuit. Reluctance ℛ serves as the magnetic counterpart to electrical resistance R, quantifying opposition to flux, while permeance P, the reciprocal of reluctance, mirrors electrical conductance G = 1/R. This analogy is grounded in Hopkinson's law, which establishes the proportional relationship between , , and reluctance, akin to . For a magnetic path of length l, cross-sectional area A, and permeability μ, reluctance is given by ℛ = l / (μ A), so permeance P = 1/ℛ = μ A / l. The development of this emerged in the late amid advances in dynamo-electric machinery, with John Hopkinson introducing the key concept of reluctance in papers presented to the Royal Society in and published in , formalizing the resisted flow image for practical calculations. Contemporaries such as S.P. in and Gisbert Kapp in 1885–1886 further refined the model, building on earlier analogies to for magneto-static analysis. By the late , the had become a standard tool in .
Electric QuantitySymbolUnitMagnetic AnalogSymbolUnitNotes
VVolts (V)Ampere-turns (A·t)Drives the flow
IAmperes (A)ΦWebers (Wb)Conserved quantity in series
ROhms (Ω)ReluctanceA·t/Wb (H⁻¹)Opposition to flow; ℛ = l / (μ A)
ConductanceGPermeancePWb/(A·t) (H); P = μ A / l
By leveraging these parallels, engineers can apply familiar techniques from electric circuit theory—such as series and parallel combinations or software—to magnetic designs, simplifying the evaluation of complex systems like transformers and inductors.

Circuit Analysis

Magnetic circuit laws

The analysis of magnetic circuits relies on two laws analogous to Kirchhoff's current and voltage laws in electric circuits, derived from within the reluctance model. These laws enable the systematic solution of flux and (MMF) distributions in lumped-parameter approximations. The analog of Kirchhoff's current law is the conservation of magnetic flux at any node, stating that the algebraic sum of fluxes entering a node equals zero: \sum \Phi = 0. This follows directly from (\nabla \cdot \mathbf{B} = 0), which implies that magnetic flux lines are continuous and form closed loops, ensuring no net flux accumulation at junctions in the circuit model. The analog of Kirchhoff's voltage law governs the MMF around a closed loop: the sum of MMFs equals the sum of the products of flux and reluctance for each branch, \sum F = \sum \Phi \mathcal{R}, where F = NI is the MMF from a winding with N turns and current I, and \mathcal{R} = \frac{l}{\mu A} is the reluctance of a branch with length l, permeability \mu, and cross-sectional area A. This law derives from Ampère's circuital law (\oint \mathbf{H} \cdot d\mathbf{l} = NI), where the MMF drop across a branch is \Phi \mathcal{R} since \mathbf{H} = \frac{\Phi}{\mu A} and the path length contributes H l. For simple series circuits, where flux is uniform through all branches (\Phi_1 = \Phi_2 = \cdots = \Phi), the total reluctance is the sum of individual reluctances (\mathcal{R}_\text{total} = \sum \mathcal{R}_i), and the total MMF is \sum F = \Phi \mathcal{R}_\text{total}. In parallel circuits, the MMF is the same across branches (F_1 = F_2 = \cdots = F), so the total flux is the sum of branch fluxes, with equivalent reluctance given by \frac{1}{\mathcal{R}_\text{total}} = \sum \frac{1}{\mathcal{R}_i}. These configurations mirror series and parallel resistances in electric circuits, providing intuitive mappings for analysis. Leakage flux, which does not fully traverse the intended path, is modeled as additional reluctance paths that bypass portions of the core, reducing the effective and increasing total reluctance. For instance, in a core, leakage paths around windings are represented by air-gap reluctances in with the main path, accounting for flux that fringing or spills into surrounding .

Solution methods

Solution methods for magnetic circuits build upon the foundational magnetic circuit laws, providing practical tools to compute distributions and strengths in designs. These techniques range from approximate hand calculations suitable for simple geometries to advanced computational approaches for intricate systems, enabling engineers to predict performance in devices like transformers and motors. Graphical methods employ B-H curves to obtain initial estimates of magnetic behavior under linear approximations. These curves, which plot magnetic density (B) against magnetic strength (H), allow designers to visually interpolate permeability values for ferromagnetic materials at operating points below . For instance, in a toroidal core, the curve facilitates quick estimation of total by assuming constant permeability derived from the initial linear portion of the B-H data, useful for preliminary sizing of inductors. Numerical methods, particularly finite (FEA), address geometries where analytical solutions are infeasible. FEA discretizes the into finite , solving numerically to distributions, effects, and leakage fluxes with high fidelity. In applications like permanent-magnet synchronous machines, FEA optimizes parameters such as tooth width and pole arc, yielding accurate predictions of (e.g., average torque up to 10 ) and (over 94%) while handling nonlinear material properties and irregular shapes. This approach is essential for modern designs, reducing prototyping needs by simulating thousands of configurations efficiently. Equivalent circuit construction simplifies analysis by lumping distributed magnetic paths into discrete reluctances, analogous to networks in electric s. Reluctance for a uniform section is calculated as \mathcal{R} = \frac{l}{\mu A}, where l is the mean path length, \mu is the permeability, and A is the cross-sectional area; these are then combined in series or to form the overall . For hand calculations in a UI-core , reluctances of the core legs and yokes are summed to determine total drops, enabling flux computation via equivalent (\Phi = \frac{\mathcal{F}}{\mathcal{R}}) for rapid prototyping of relays or actuators. Iterative techniques refine solutions for fringing fields and air gaps, where flux spreads beyond ideal boundaries, increasing effective . Starting with a zeroth-order rectangular , iterations incorporate semi-circular fringing paths, such as adding terms like \mu_0 \frac{\pi}{2} d \ln\left(1 + \frac{h}{g}\right) for gap height h, width d, and separation g, converging after 2-3 steps for gaps under 10% of core dimensions. In EI-core designs with air gaps, this method adjusts reluctance iteratively to account for up to 20% flux enhancement from fringing, improving accuracy in gapped inductors without full numerical .

Limitations and Extensions

Linear model limitations

The linear reluctance model for magnetic circuits relies on the fundamental assumption that the permeability \mu of the magnetic materials is constant, analogous to constant resistivity in electric circuits. This linearity simplifies analysis by treating reluctance \mathcal{R} = \frac{l}{\mu A} as a fixed , where l is the path length and A is the cross-sectional area. However, ferromagnetic materials used in practical circuits, such as iron or , exhibit highly nonlinear behavior due to magnetic saturation, where the permeability decreases sharply at high strengths H, limiting the maximum flux density B to 1.6–2.2 T for typical high-permeability iron alloys. This assumption fails in designs operating near saturation, leading to inaccurate predictions of flux distribution and , as the effective reluctance increases nonlinearly with . Another key limitation arises from the model's neglect of leakage and fringing fields, which assume an ideal, fully confined path with no external . In reality, portions of the magnetic leak outside the intended core path due to imperfect geometry or material discontinuities, typically reducing by 1–5% in well-designed transformers or inductors. Fringing fields further complicate this by causing to spread at air gaps or interfaces, effectively increasing the effective gap length and altering the field uniformity. These effects are particularly pronounced in open magnetic circuits or those with significant air gaps, where the linear model overestimates and underestimates external field interference. The is also inherently static and thus inapplicable to time-varying , where phenomena like currents and the skin effect introduce significant deviations. currents, induced by changing , generate opposing fields that cause energy losses and distort the flux profile, with loss density scaling as \frac{(\pi f B t)^2}{6 \rho} for frequency f, peak flux density B, thickness t, and resistivity \rho. The skin effect confines the flux and currents to a shallow depth \delta = \sqrt{\frac{2\rho}{\omega \mu}} (with \omega), reducing the effective cross-section and increasing effective reluctance at frequencies well above power line frequencies (50–60 Hz). These dynamic effects render the constant-permeability assumption invalid for AC applications like or transformers. Early researchers, including , recognized these limitations through experimental investigations into magnetic material behavior in the late 19th and early 20th centuries. Steinmetz's work on and , detailed in his measurements of iron core losses and reluctance variations, highlighted the inadequacy of linear approximations for practical alternating-current machinery, prompting the development of empirical corrections for nonlinear effects. His findings underscored that the electric circuit analogy, while useful for initial design, oversimplifies the complex interplay of material nonlinearities and field distortions in real magnetic circuits.

Nonlinear effects

Magnetic saturation represents a fundamental nonlinearity in ferromagnetic materials used in magnetic circuits, where the relationship between magnetic flux density B and magnetic field strength H deviates from linearity as H increases. In the B-H curve, B initially rises steeply with H due to domain alignment, but beyond a critical point, the curve flattens as all domains orient with the field, limiting further increases in B. This saturation causes the effective permeability \mu = B/H to decrease sharply at high H, approaching the permeability of free space \mu_0, which can lead to flux limitations and circuit performance degradation. Hysteresis introduces path-dependent nonlinearity through closed loops in the B-H during alternating magnetization cycles, resulting in dissipation as . The loop's area quantifies the hysteresis loss per cycle, proportional to the material's and the maximum flux density. To model these losses in AC magnetic circuits, complex permeability is employed, expressed as \mu = \mu' - j \mu'', where \mu' represents the real part for and \mu'' the imaginary part capturing dissipative effects from . For small-signal analysis in nonlinear operating conditions, incremental permeability \mu_\Delta = \Delta B / \Delta H is utilized, providing the local slope of the B-H curve around a specific point. This allows approximation of the material's response to small perturbations on a saturated or state, where total permeability may be low, enabling more accurate for dynamic simulations in devices like inductors under . Contemporary approaches to simulating these nonlinear effects rely on finite element analysis (FEA), which numerically solves the nonlinear field equations using input B-H curves and iterative methods like Newton-Raphson to handle saturation and hysteresis. Tools such as FEMM incorporate variational formulations and cubic spline interpolation of material data to model complex geometries and loss mechanisms, offering precise predictions beyond simple circuit analogies. Recent advances (as of 2024) include 3D nonlinear magnetic equivalent circuit models that better account for axial flux paths and leakage in complex devices like wound-rotor synchronous machines, improving design efficiency.

Applications

Traditional devices

Magnetic circuits form the foundational in the of traditional transformers, where the core's reluctance is optimized to ensure efficient linkage between primary and secondary windings while minimizing energy losses. By selecting high-permeability ferromagnetic materials for the core, such as silicon steel, designers reduce the reluctance of the magnetic path, allowing a greater portion of the flux generated by the primary winding to link with the secondary, thereby enhancing voltage transformation efficiency. This reluctance-based approach also helps in confining the flux within the core, reducing leakage flux that could otherwise contribute to losses through increased magnetizing currents. For instance, in power transformers, the core is engineered to maintain low reluctance even under varying load conditions, supporting reliable in systems. Inductors and chokes rely on magnetic circuits to provide controlled opposition to changes in , with the choice between air-core and ferromagnetic-core designs determining their suitability for filtering applications. Air-core inductors exhibit high reluctance due to the low permeability of air (approximately μ₀ = 4π × 10⁻⁷ H/m), resulting in lower values but immunity to and minimal core losses, making them ideal for high-frequency filtering where linearity is critical. In contrast, ferromagnetic-core inductors, using materials like ferrite or powdered iron, achieve significantly lower reluctance through high (often 100–10,000 times that of air), enabling higher in compact sizes for effective low-frequency noise suppression in chokes. This material allows chokes to store more per unit volume, essential for smoothing currents in power supplies, though it introduces risks of under high currents. Reluctance motors operate on the principle of variable reluctance in their to produce , where the aligns with the stator's to minimize the overall reluctance. In these traditional machines, the stator windings generate a , and the —typically featuring poles without permanent magnets—experiences as it seeks positions of minimum reluctance, converting to . This configuration results in torque production proportional to the change in with position, with peak torque occurring when the air-gap reluctance is lowest during pole alignment. Such motors, prominent in early variable-speed drives, offer simple construction and robustness, though they require precise of to manage . Electromagnets utilize magnetic circuits to enable precise control of via (MMF), facilitating applications in lifting and switching mechanisms. The MMF, given by MMF = N I where N is the number of turns and I is the , drives flux through a ferromagnetic of low reluctance, generating strong attractive forces for lifting heavy loads such as scrap metal in industrial cranes. For switching, the variable MMF allows rapid on-off control of the , actuating relays or contactors by moving armatures across air gaps to close or open circuits. Core design minimizes reluctance to maximize density for efficient force generation, with typical configurations using U-shaped or cores to concentrate the field.

Modern uses

In magnetic resonance imaging (MRI) systems, magnetic circuit principles are applied in the design of gradient coils and shielding to achieve precise control of magnetic fields. Gradient coils generate spatially varying magnetic fields essential for imaging, where reluctance is managed through optimized coil geometries and conductive materials to minimize eddy currents and ensure rapid field switching. For instance, in ultra-low-field MRI, conductive shields made of aluminum sheets provide low-reluctance paths that guide magnetic flux and reduce transient fields from gradient coil activation, enabling decay times as low as 6 milliseconds and improving signal-to-noise ratios for in vivo applications. This approach, detailed in studies from the 2010s, enhances image quality by suppressing unwanted field distortions while maintaining high precision in reluctance control. In , particularly generators, high- magnetic cores leverage magnetic circuit analysis to maximize power output and minimize losses. Permanent magnet synchronous generators (PMSGs) employ optimized core designs, such as those with reduced rare-earth content and enhanced paths, to improve in direct-drive configurations for variable-speed operation. These cores reduce in the air gap and , allowing for higher densities and energy conversion exceeding 95% in multi-megawatt turbines. Optimization techniques, including finite element modeling of magnetic circuits, have enabled lighter, more cost-effective generators that support installations by enhancing production and thermal performance. Electric vehicles increasingly utilize permanent motors where magnetic circuit optimization focuses on reluctance to boost and . Interior permanent synchronous motors (IPMSMs) integrate reluctance alongside permanent , with designs that adjust barrier shapes and placement to lower reluctance in aligned positions and increase it in unaligned states. This reluctance-network-based can yield up to 15.3% higher average while reducing , making it suitable for traction applications requiring wide speed ranges. Such advancements, prominent since the , contribute to overall improvements of 5-10% by minimizing losses and enhancing field weakening capabilities. Post-2000 developments in systems have advanced linear magnetic circuits for both and , enabling high-speed, low-friction . Linear generators and synchronous use superconducting or permanent arrays to create controlled reluctance paths along guideways, providing stable forces of up to 100-200 per vehicle section and guidance forces around 30 . Magnetic circuit modeling, incorporating nonlinear effects, allows for precise prediction of flux distribution and electromagnetic forces in systems like the Japanese , achieving speeds over 600 km/h. These innovations, tested in prototypes since the early and with ongoing construction of the Chuo line as of 2025 (first segment expected 2027), support high energy efficiencies through optimized and configurations for minimal consumption during and .

References

  1. [1]
  2. [2]
    [PDF] Electrical Tech Note — 317 - Michigan Agricultural Energy Council
    The magnetic circuit formula analogous to Ohm's law is that the amount of flux (φ) is equal to the magnetomotive force (F) divided by the reluctance (R) of the ...
  3. [3]
    Magnetic Circuit - an overview | ScienceDirect Topics
    A magnetic circuit is defined as a configuration in which magnetic flux passes through two or more parts in series, potentially comprising different cross ...
  4. [4]
    [PDF] Maxwell's equations in integral form
    It means that the time-varying magnetic flux induces an electric field in the region and this results in an emf around the closed path. If a wire is placed in.Missing: definition | Show results with:definition
  5. [5]
    [PDF] Circular of the Bureau of Standards no. 448: permanent magnets
    called the magnetomotive force,. The cgs unit of magnetomotive force is called the gilbert and is defined by the equation. &= 0.4ttNI , in which. 7.
  6. [6]
    Convert ampere-turn [At] to gilbert [Gi] • Magnetomotive Force ...
    One gilbert is equal to 10/4π ≈ 0.78 ampere-turn or ampere. Volumetric Flow Rate. Did you know where a nutating disk is possibly installed in your ...
  7. [7]
    Magnetomotive Force - an overview | ScienceDirect Topics
    Magnetomotive force (MMF) is defined as the product of the number of turns (N) in a coil and the current (I) flowing through it, expressed in ampere-turns.
  8. [8]
    [PDF] 5 Faraday's Law; Dependence of EMF on Flux Change
    More generally we define the magnetic flux as an integral. ΦB = ∫B·dA. Faraday's Law states that an emf may be induced in a closed circuit by varying the ...
  9. [9]
    [PDF] The International System of Units (SI)
    Weber (unit of magnetic flux)—The weber is the magnetic flux which, linking a circuit of one turn, would produce in it an electromotive force of 1 volt if ...
  10. [10]
    9.7 Magnetic Circuits - MIT
    In situations of this type, where the ducting of the magnetic flux makes it possible to approximate the distribution of magnetic field, the MQS integral laws ...
  11. [11]
    [PDF] 6.013 Electromagnetics and Applications, Chapter 2
    To demagnetize a permanent magnet we can apply a magnetic field H of magnitude Hc, which is the field strength necessary to drive B to zero. If we represent the ...
  12. [12]
    [PDF] THE PHYSICS OF MAGNETISM
    Amp`ere's Law, in its most general form, is one of Maxwell's equations of electro- magnetism: in a steady electrical field, ∇ × H = Jf , where Jf is the ...Missing: J_f | Show results with:J_f
  13. [13]
    [PDF] Magnetization, Bound Currents, and the H Field - UT Physics
    Mz = ∇ × M. (25). The Magnetic Intensity Field H. In dielectric materials, it's convenient to use two kinds of electric field: the electric tension field E ...Missing: strength J_f
  14. [14]
    Magnetic Field Strength H - HyperPhysics
    H and M will have the same units, amperes/meter. To further distinguish B from H, B is sometimes called the magnetic flux density or the magnetic induction. ...Missing: distinction | Show results with:distinction
  15. [15]
    [PDF] Magnetization, Bound Currents, and the H Field - UT Physics
    In dielectric materials, it's convenient to use two kinds of electric field: the electric tension field E and the electric displacement field D = ǫ0E + P.Missing: strength J_f
  16. [16]
    [PDF] Chapter 2 - Magnetic Materials & Their Characteristics
    The air gap thus has a powerful demagnetizing effect upon the square loop materials. Properly designed transformers, using cut toroid or C core square-loop ...Missing: strength | Show results with:strength
  17. [17]
    [PDF] Magnetic Units - IEEE Magnetics Society
    Gaussian units and cgs emu are the same for magnetic properties. The defining relation is B −H +4πM. b. Multiply a number in Gaussian units by C to convert it ...
  18. [18]
    [PDF] Chapter 4
    Magnetic flux flows through the circuit as a function of MMF. The MMF and flux are related by the reluctance of the circuit. Reluctance is the function of ...Missing: formula | Show results with:formula
  19. [19]
    [PDF] 6.007 Supplemental Notes: Magnetic Circuit Analog to Electric Circuits
    In this chapter we describe an equivalence between electric and magnetic circuits and in turn a method of describing and analyzing magnetic field systems ...<|control11|><|separator|>
  20. [20]
    None
    **Summary of Magnetic Reluctance from https://www.engr.siu.edu/staff/spezia/Web332A/Lecture%20Notes/Lesson%202%20332ac.pdf:**
  21. [21]
    Permeability - Nondestructive Evaluation Physics : Magnetism
    Permeability is a material property describing the ease with which a magnetic flux is established, calculated as the ratio of flux density to magnetizing field.
  22. [22]
    Magnetic permeability - Encyclopedia Magnetica
    Jan 19, 2025 · In general, magnetic permeability is defined as the ratio of some change of B to some change of H, namely: μ = ΔB/ΔH. However, the respective ...Practical significance of... · Calculator of effective... · Types of permeability
  23. [23]
    Permeability - The Engineering ToolBox
    ... µ0 (the permeability constant or the magnetic constant) is. µ0 = 4π 10-7 (H/m). ≈ 1.257×10-6 (H/m, N/A2). The Relative Permeability. The relative permeability ...
  24. [24]
    [PDF] Four Different Kinds of Magnetism - High Energy Physics
    aluminium) exhibit relative magnetic permeabilities up to 104 (ferromagnetic materials). Some show marked hysteresis and are used for permanent magnets ...
  25. [25]
    Magnetic Properties of Solids - HyperPhysics
    For ordinary solids and liquids at room temperature, the relative permeability Km is typically in the range 1.00001 to 1.003. We recognize this weak magnetic ...
  26. [26]
    Understanding the Effect of Eddy Currents on the High-Frequency ...
    Jun 12, 2024 · Eddy currents make the flux distribution across the cross-section of the core uneven, potentially leading to degraded permeability performance.Permeability As A Function... · Skin Depth Of Different... · Table 1. Skin Depth For Some...
  27. [27]
    What factors affect eddy currents? - TWI Global
    The effect of permeability can be negated by magnetic saturation, multi-frequency inspection or differential coil arrangements. The measurement of permeability ...Magnetic Permeability · Frequency · Fill Factor
  28. [28]
    10.3: Magnetic Circuits - Engineering LibreTexts
    May 22, 2022 · Magnetic circuits include applications such as transformers and relays. A very simple magnetic circuit is shown in Figure 10.3.1.Example 10.3.1 · Ohm's Law for Magnetic... · KVL for Magnetic Circuits
  29. [29]
    Vector magnetic circuit analysis of silicon steel sheet parameters ...
    2.1 | Hopkinson's law. Hopkinson's law, also known as Ohm's law of the magnetic circuit, was initially discovered by Henry Augustus Rowland in. 1873 [22, 23] ...<|control11|><|separator|>
  30. [30]
    I. Magnetic properties of alloys of Nickel and iron - Journals
    Magnetic properties of alloys of Nickel and iron. John Hopkinson. Google ... The methods of experiment were the same as were detailed in my paper on “Magnetic and ...
  31. [31]
    [PDF] HENRY AUGUSTUS ROWLAND. - National Academy of Sciences
    In this research he unquestionably anticipated all others in the discovery and announcement of the beautifully simple law of the magnetic circuit, the magnetic ...
  32. [32]
    [PDF] 6.061 Class Notes, Chapter 6: Magnetic Circuit Analog to Electric ...
    In this chapter we describe an equivalence between electric and magnetic circuits and in turn a method of describing and analyzing magnetic field systems ...
  33. [33]
    [PDF] 8-1 Magnetic circuits The source of magnetic flux is current. Not just ...
    This quantity, magnetomotive force (MMF), is analogous to voltage in electric circuits. F = NI. Magnetic flux, φ, plays the role of current. By convention ...
  34. [34]
    [PDF] о о H, NI(MMF), and B Flux Flux Density φ
    We need to define and distinguish magnetic Field intensity H,. Magnetomotive force MMF = NI = F and magnetic flux φvs. magnetic flux density = φ/A = B a ...Missing: distinction | Show results with:distinction
  35. [35]
    The Magnetic Circuit Model, 1850–1890: The Resisted Flow Image ...
    Jan 5, 2009 · The magnetic circuit model acts as a unifying principle in descriptive magnetostatics, and as an approximate computational aid in electrical ...
  36. [36]
    [PDF] Introduction to Magnetic Circuits - Florida Power Electronics Center
    It is obvious that the mechanism of the flow of flux in magnetic circuits is similar to the way current flows in electric circuits.
  37. [37]
    None
    ### Summary of Kirchhoff's Laws, Series/Parallel Circuits, and Leakage Flux from Magnetic Equivalent Circuit PDF
  38. [38]
    None
    ### Summary of Magnetic Circuits (Kirchhoff's Laws, MMF Law, Series/Parallel, Leakage)
  39. [39]
    [PDF] Chapter 14: Magnetic Materials and Magnetic Circuits
    This chapter covers diamagnetic, paramagnetic, and ferromagnetic materials, calculating magnetic fields, the hysteresis loop, and analyzing magnetic circuits.Missing: distinction | Show results with:distinction
  40. [40]
    [PDF] Modeling and Parametric Design of Permanent-Magnet AC ...
    The new technique makes possible a comprehensive design analysis, with the full benefits of FEA capabilities in terms of accurate magnetic circuit geometry and ...
  41. [41]
    Magnetic saturation - Encyclopedia Magnetica
    Magnetic saturation - a phenomenon of non-linearity of magnetic properties of magnetic materials at high amplitude of magnetic excitation.
  42. [42]
    (PDF) Limitations of Reluctance Networks to Model the Frequency ...
    Sep 5, 2023 · These approximated models generally do not consider frequency-dependent fringing and leakage fluxes, which may account for more than 7 % of the ...
  43. [43]
    [PDF] a wide bandwidth model for the electrical impedance of magnetic ...
    However, the presence of leakage, fringing, and eddy current effects can lead to significant discrepancies between circuit theory predictions and experimental.Missing: limitations | Show results with:limitations
  44. [44]
    Theory And Calculation Of Electric Circuits - Internet Archive
    Jan 22, 2017 · Theory And Calculation Of Electric Circuits : Charles Proteus Steinmetz : Free Download, Borrow, and Streaming : Internet Archive.
  45. [45]
    Using Permeability to Understand Magnetic Core Saturation
    Jul 14, 2024 · In this article, we'll learn about magnetic core saturation and how it relates to nonlinear behavior. We'll then explore several different permeability ...
  46. [46]
    [PDF] Simulation and Modeling of Nonlinear Magnetics
    May 15, 2012 · The model is used to illustrate how to overcome some difficult modelling issues such as hysteresis, incremental models, implicit models, and ...
  47. [47]
    Magnetic Hysteresis Loop including the B-H Curve
    A set of curves called Magnetisation Curves, Magnetic Hysteresis Curves or more commonly BH Curves for each type of core material used as shown below.
  48. [48]
    [PDF] magnetic dipoles, hysteresis and core loses - Environmental Potentials
    If a sinusoidal field is applied to a core of complex permeability,. H = Happlied cos ωt,. And assuming B = μ*H, then it follows that. B = μ0Happlied(μ' cosωt + ...
  49. [49]
    Method for Measuring Incremental Magnetic Permeability of ... - Omron
    Dec 13, 2021 · The DC superposition property is one of the main properties affected by magnetic saturation. When a direct electric current causes a magnetic ...
  50. [50]
    [PDF] FEMM Manual - Finite Element Method Magnetics
    Oct 25, 2015 · A “nonlinear hysteresis lag” parameter is then applied to the effective BH curve. The lag is assumed to be proportional to the permeability ...
  51. [51]
  52. [52]
    An improved magnetic circuit model of power transformers under DC ...
    A new formula for the core reluctance had been derived, to consider the effect of the eddy currents in the lamination, and appears to be nonlinear and frequency.Missing: design | Show results with:design
  53. [53]
    [PDF] Fundamentals of Magnetics
    The relationship between mmf, flux, and magnetic reluctance is analogous to the relationship between emf, current, and resistance, as shown in Figure 1-26. emf ...
  54. [54]
    [PDF] Electrical Tech Note — 513 - Michigan Agricultural Energy Council
    The permeability of the core material has a significant effect on the performance of an inductor. Many inductors have air cores. The permeability of air is ...
  55. [55]
    Variable-speed switched reluctance motors - IET Digital Library
    2.1 Inductance variation and torque production. Torque is developed by the tendency for the magnetic circuit to adopt a configuration of minimum reluctance,.
  56. [56]
    Conductive shield for ultra-low-field magnetic resonance imaging
    We introduce a methodology to eliminate eddy-current modes with high inductances and low resistances in our shielded room to reduce the decay times of the eddy ...
  57. [57]
  58. [58]
    Permanent Magnet Synchronous Generator design optimization for ...
    This review paper captures the fact that recent advancements in design optimization of Permanent Magnet Synchronous Generator (PMSG) for wind turbine systems
  59. [59]
    Optimal design of permanent-magnet direct-drive generator for wind ...
    ▻ Permanent magnet machines are an important kind of generators in wind power. ▻ The costs of materials for these machines are becoming more and more uncertain.
  60. [60]
  61. [61]
    Multi-objective optimization of IPMSM for electric vehicles based on ...
    This study utilizes a 35 kW, 3000 rpm IPMSM for EVs as the object of optimization. Compared to the surface-mounted permanent magnet synchronous motor (SPMSM), ...