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The Jiles–Atherton model of magnetic hysteresis was introduced in 1984 by David Jiles and D. L. Atherton.^[1] This is one of the most popular models of magnetic hysteresis. Its main advantage is the fact that this model enables connection with physical parameters of the magnetic material.^[2] Jiles–Atherton model enables calculation of minor and major hysteresis loops.^[1]
The original Jiles–Atherton model is suitable only for isotropic materials.^[1] However, an extension of this model presented by Ramesh et al.^[3] and corrected by Szewczyk ^[4] enables the modeling of anisotropic magnetic materials.

Principles

Magnetization M{displaystyle M} of the magnetic material sample in Jiles–Atherton model is calculated in the following steps ^[1] for each value of the magnetizing field H{displaystyle H}:

• effective magnetic field He{displaystyle H_{text{e}}} is calculated considering interdomain coupling α{displaystyle alpha } and magnetization M{displaystyle M},


• anhysteretic magnetization Man{displaystyle M_{text{an}}} is calculated for effective magnetic field He{displaystyle H_{text{e}}},


• magnetization M{displaystyle M} of the sample is calculated by solving ordinary differential equation taking into account sign of derivative of magnetizing field H{displaystyle H} (which is the source of hysteresis).

Parameters

Original Jiles–Atherton model considers following parameters:^[1]

Parameter	Units	Description
α{displaystyle alpha }		Quantifies interdomain coupling in the magnetic material
a{displaystyle a}	A/m	Quantifies domain walls density in the magnetic material
Ms{displaystyle M_{text{s}}}	A/m	Saturation magnetization of material
k{displaystyle k}	A/m	Quantifies average energy required to break pinning site in the magnetic material
c{displaystyle c}		Magnetization reversibility

Extension considering uniaxial anisotropy introduced by Ramesh et al.^[3] and corrected by Szewczyk ^[4] requires additional parameters:

Parameter	Units	Description
Kan{displaystyle K_{text{an}}}	J/m3{displaystyle J/m^{3}}	Average anisotropy energy density
ψ{displaystyle psi }	rad	Angle between direction of magnetizing field H{displaystyle H} and direction of anisotropy easy axis
t{displaystyle t}		Participation of anisotropic phase in the magnetic material

Modelling the magnetic hysteresis loops

Effective magnetic field

Effective magnetic field He{displaystyle H_{text{e}}} influencing on magnetic moments within the material may be calculated from following equation:^[1]

He=H+αM{displaystyle H_{text{e}}=H+alpha M}

This effective magnetic field is analogous to the Weiss mean field acting on magnetic moments within a magnetic domain.^[1]

Anhysteretic magnetization

Anhysteretic magnetization can be observed experimentally, when magnetic material is demagnetized under the influence of constant magnetic field. However, measurements of anhysteretic magnetization are very sophisticated due to the fact, that the fluxmeter has to keep accuracy of integration during the demagnetization process. As a result, experimental verification of the model of anhysteretic magnetization is possible only for materials with negligible hysteresis loop.^[4]

Anhysteretic magnetization of typical magnetic material can be calculated as a weighted sum of isotropic and anisotropic anhysteretic magnetization:^[5]

Man=(1−t)Maniso+tMananiso{displaystyle M_{text{an}}=(1-t)M_{text{an}}^{text{iso}}+tM_{text{an}}^{text{aniso}}}

Isotropic

Isotropic anhysteretic magnetization Maniso{displaystyle M_{text{an}}^{text{iso}}} is determined on the base of Boltzmann distribution. In the case of isotropic magnetic materials, Boltzmann distribution can be reduced to Langevin function connecting isotropic anhysteretic magnetization with effective magnetic field He{displaystyle H_{text{e}}}:^[1]

Maniso=Ms(coth⁡(He/a)−(a/He)){displaystyle M_{text{an}}^{text{iso}}=M_{text{s}}(coth(H_{text{e}}/a)-(a/H_{text{e}}))}

Anisotropic

Anisotropic anhysteretic magnetization Mananiso{displaystyle M_{text{an}}^{text{aniso}}} is also determined on the base of Boltzmann distribution.^[3] However, in such a case, there is no antiderivative for Boltzmann distribution function.^[4] For this reason, integration has to be made numerically. In the original publication, anisotropic anhysteretic magnetization Mananiso{displaystyle M_{text{an}}^{text{aniso}}} is given as:^[3]

Mananiso=Ms∫0πeE(1)+E(2)sin⁡(θ)cos⁡(θ)dθ∫0πeE(1)+E(2)sin⁡(θ)dθ{displaystyle M_{text{an}}^{text{aniso}}=M_{text{s}}{frac {int _{0}^{pi }!e^{E(1)+E(2)}sin(theta )cos(theta ),dtheta }{int _{0}^{pi }!e^{E(1)+E(2)}sin(theta ),dtheta }}}

where

E(1)=Heacos⁡θ−KanMsμ0asin2⁡(ψ−θ){displaystyle E(1)={frac {H_{text{e}}}{a}}cos theta -{frac {K_{text{an}}}{M_{text{s}}mu _{0}a}}sin ^{2}(psi -theta )}

E(2)=Heacos⁡θ−KanMsμ0asin2⁡(ψ+θ){displaystyle E(2)={frac {H_{text{e}}}{a}}cos theta -{frac {K_{text{an}}}{M_{text{s}}mu _{0}a}}sin ^{2}(psi +theta )}

It should be highlighted, that typing mistake happened in the original Ramesh et al. publication.^[4] As a result, for isotropic material (where Kan=0){displaystyle K_{text{an}}=0)}), presented form of anisotropic anhysteretic magnetization Mananiso{displaystyle M_{text{an}}^{text{aniso}}} is not coherent with isotropic anhysteretic magnetization Maniso{displaystyle M_{text{an}}^{text{iso}}} given by Langevin equation. Physical analysis leads to conclusion, that equation for anisotropic anhysteretic magnetization Mananiso{displaystyle M_{text{an}}^{text{aniso}}} has to be corrected to the following form:^[4]

Mananiso=Ms∫0πe0.5(E(1)+E(2))sin⁡(θ)cos⁡(θ)dθ∫0πe0.5(E(1)+E(2))sin⁡(θ)dθ{displaystyle M_{text{an}}^{text{aniso}}=M_{text{s}}{frac {int _{0}^{pi }!e^{0.5(E(1)+E(2))}sin(theta )cos(theta ),dtheta }{int _{0}^{pi }!e^{0.5(E(1)+E(2))}sin(theta ),dtheta }}}

In the corrected form, model for anisotropic anhysteretic magnetization Mananiso{displaystyle M_{text{an}}^{text{aniso}}} was confirmed experimentally for anisotropic amorphous alloys.^[4]

Magnetization as a function of magnetizing field

In Jiles–Atherton model, M(H) dependence is given in form of following ordinary differential equation:^[6]

dMdH=11+cMan−Mδk−α(Man−M)+c1+cdMandH{displaystyle {frac {dM}{dH}}={frac {1}{1+c}}{frac {M_{text{an}}-M}{delta k-alpha (M_{text{an}}-M)}}+{frac {c}{1+c}}{frac {dM_{text{an}}}{dH}}}

where δ{displaystyle delta } depends on direction of changes of magnetizing field H{displaystyle H} (δ=1{displaystyle delta =1} for increasing field, δ=−1{displaystyle delta =-1} for decreasing field)

Flux density as a function of magnetizing field

Flux density B{displaystyle B} in the material is given as:^[1]

B(H)=μ0M(H){displaystyle B(H)=mu _{0}M(H)}


where μ0{displaystyle mu _{0}} is magnetic constant.

Vectorized Jiles–Atherton model

Vectorized Jiles–Atherton model is constructed as the superposition of three scalar models one for each principal axe.^[7] This model is especially suitable for finite element method computations.

Numerical implementation

The Jiles-Atherton model is implemented in JAmodel, a MATLAB/OCTAVE toolbox. It uses the Runge-Kutta algorithm for solving ordinary differential equations. JAmodel is open-source is under MIT license.^[8]

The two most important computational problems connected with the Jiles–Atherton model were identified:^[8]

• 
  numerical integration of the anisotropic anhysteretic magnetization Mananiso{displaystyle M_{text{an}}^{text{aniso}}}
  


• solving the ordinary differential equation for M(H){displaystyle M(H)} dependence.

For numerical integration of the anisotropic anhysteretic magnetization Mananiso{displaystyle M_{text{an}}^{text{aniso}}} the Gauss–Kronrod quadrature formula has to be used. In GNU Octave this quadrature is implemented as quadgk() function.
For solving ordinary differential equation for M(H){displaystyle M(H)} dependence, the Runge–Kutta methods are recommended. It was observed, that the best performing was 4-th order fixed step method.^[8]

Further development

Since its introduction in 1984, Jiles–Atherton model was intensively developed. As a result, this model may be applied for the modeling of:

• frequency dependence of magnetic hysteresis loop in conductive materials ^[9][10]
  


• influence of stresses on magnetic hysteresis loops ^[11][12][13]
  


• 
  magnetostriction of soft magnetic materials ^[11][14]
  

Moreover, different corrections were implemented, especially:

• to avoid unphysical states when reversible permeability is negative ^[15]
  


• to consider changes of average energy required to break pinning site ^[16]
  

Applications

Jiles–Atherton model may be applied for modeling:

• rotating electric machines ^[17]
  


• power transformers ^[18]
  


• magnetostrictive actuators ^[19]
  


• magnetoelastic sensors ^[20][21]
  


• magnetic field sensors (e. g. fluxgates) ^[22][23]
  

It is also widely used for electronic circuit simulation, especially for models of inductive components, such as transformers or chokes.^[24]

References

External links

• 
  Jiles–Atherton model for Octave/MATLAB - open-source software for implementation of Jiles–Atherton model in GNU Octave and Matlab