“…Figure 2Second-order phase magnetic transition in the austenitic phase. The red dots are the experimental values [58], and the continuous blue line is the best fit.…”
Section: Parameter Identificationmentioning
confidence: 99%
“…The prediction matches well in this case. Figure 4( a ) The field dependency on phase transformation temperatures at σ=0.84false[GPafalse] [58]. ( b ) The mechanical load dependency on phase transformation temperature at 1 [T] field.…”
Section: Model Predictionsmentioning
confidence: 99%
“…( b ) Model simulation of MCE for 0false[GPafalse], 0.45false[GPafalse] and 0.84false[GPafalse] pressure at μ0normalΔH=1false[Tfalse] field change under heating. The dots are the experimental values [58], and the continuous line is the fit.…”
Section: Model Predictionsmentioning
confidence: 99%
“…We consider off-stoichiometric Ni 1.83 Mn 1. 46 In 0.54 Co 0.17 Heusler alloys [58] to calibrate the model parameters. The microstructural information is integrated using X-ray powder diffraction (XRD) analysis.…”
Section: Parameter Identificationmentioning
confidence: 99%
“…The magnetic, mechanical and thermodynamic model parameters are listed in table 1. We consider off-stoichiometric normalNi1.83normalMn1.46normalIn0.54normalCo0.17 Heusler alloys [58] to calibrate the model parameters. The microstructural information is integrated using X-ray powder diffraction (XRD) analysis.…”
This article presents a coupled magneto-thermo-mechanical model of pressure-dependent magneto-caloric effect (MCE) and magnetization responses for polycrystalline magnetic shape memory alloys (MSMA). Coupled constitutive equations are derived from a Helmholtz free energy function in a consistent thermodynamic way. The hysteretic and dissipative characteristics of phase transformations in MSMAs are captured by the internal state variables approach with their evolution equations. A relation of adiabatic temperature change is established for such a dissipative material system. The model is calibrated and validated with the existing experimental data. The validated constitutive model is then exploited to predict MCEs at different pressure and magnetic field level. Some predicted results are compared with the available experimental data.
“…Figure 2Second-order phase magnetic transition in the austenitic phase. The red dots are the experimental values [58], and the continuous blue line is the best fit.…”
Section: Parameter Identificationmentioning
confidence: 99%
“…The prediction matches well in this case. Figure 4( a ) The field dependency on phase transformation temperatures at σ=0.84false[GPafalse] [58]. ( b ) The mechanical load dependency on phase transformation temperature at 1 [T] field.…”
Section: Model Predictionsmentioning
confidence: 99%
“…( b ) Model simulation of MCE for 0false[GPafalse], 0.45false[GPafalse] and 0.84false[GPafalse] pressure at μ0normalΔH=1false[Tfalse] field change under heating. The dots are the experimental values [58], and the continuous line is the fit.…”
Section: Model Predictionsmentioning
confidence: 99%
“…We consider off-stoichiometric Ni 1.83 Mn 1. 46 In 0.54 Co 0.17 Heusler alloys [58] to calibrate the model parameters. The microstructural information is integrated using X-ray powder diffraction (XRD) analysis.…”
Section: Parameter Identificationmentioning
confidence: 99%
“…The magnetic, mechanical and thermodynamic model parameters are listed in table 1. We consider off-stoichiometric normalNi1.83normalMn1.46normalIn0.54normalCo0.17 Heusler alloys [58] to calibrate the model parameters. The microstructural information is integrated using X-ray powder diffraction (XRD) analysis.…”
This article presents a coupled magneto-thermo-mechanical model of pressure-dependent magneto-caloric effect (MCE) and magnetization responses for polycrystalline magnetic shape memory alloys (MSMA). Coupled constitutive equations are derived from a Helmholtz free energy function in a consistent thermodynamic way. The hysteretic and dissipative characteristics of phase transformations in MSMAs are captured by the internal state variables approach with their evolution equations. A relation of adiabatic temperature change is established for such a dissipative material system. The model is calibrated and validated with the existing experimental data. The validated constitutive model is then exploited to predict MCEs at different pressure and magnetic field level. Some predicted results are compared with the available experimental data.
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