Influence of magnetization on the applied magnetic field in various AMR regenerators

Mira, Amine; Larochelambert, Thierry de; Espanet, Christophe; Giurgea, Stéfan; Nika, Philippe; Bahl, Christian; Bjørk, Rasmus; Nielsen, Kaspar Kirstein

doi:10.1063/1.4986936

Cited by 12 publications

(3 citation statements)

References 22 publications

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“…The general solution (11.b) is determined after using the separation of variables method for a second member equal to zero. The particular solution (11.c) is the unique solution taken by u z0 to respect the equality of (10).…”

Section: Solution For the Mean Valuementioning

confidence: 99%

Development and Validation of a 3-D Analytical Fluidic Model in Cartesian Coordinates for a Magnetic Refrigeration Application

Eustache,

Plait,

Dubas

et al. 2024

J. Phys.: Conf. Ser.

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This paper focuses on the development and validation of a three-dimensional (3-D) analytical model based on the formal resolution of the incompressible Navier-Stokes equations in Cartesian coordinates. This analytical fluidic model calculates the evolution of the fluid flow velocity for various pressure gradient shapes (i.e., square, trapezoidal, ramp, triangle, sinusoidal signals, etc.), with or without mean value, using Fourier series. The model can consider square and rectangular channels of any dimensions in terms of height, width, and depth. It allows for the study of different types of fluid flow and geometries. The introduction highlights the significance of analytical modeling, particularly in the context of Magnetic Refrigeration (MR) technologies. The model assumptions and governing equations are presented. The results obtained from the analytical model are validated and show good convergence with those obtained using the COMSOL Multiphysics® software. The comparison demonstrates a high level of agreement between the two models. The analytical model performs well in terms of computation time and accuracy. It will be coupled with an analytical thermic model and used to optimize Active Magnetic Regenerative Refrigeration (AMRR) cycles. The ultimate objective is to determine an optimal pressure gradient evolution in order to maximize heat exchange in a regenerator channel.

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Section: Solution For the Mean Valuementioning

confidence: 99%

Development and Validation of a 3-D Analytical Fluidic Model in Cartesian Coordinates for a Magnetic Refrigeration Application

Eustache,

Plait,

Dubas

et al. 2024

J. Phys.: Conf. Ser.

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“…This interesting study also included analytical solutions of Maxwell's equations, which were used to investigate the performance of the magnetic circuit. Another numerical study was performed by Mira et al, who evaluated the magnetization of the magnetic fields of different types of active magnetic regenerators. The study considered different magnetic sources including an electromagnet, a permanent magnet in a soft ferromagnetic toroidal yoke, and 2D and 3D Halbach cylinders.…”

Section: Magnetocaloric Refrigeration and Heat Pumpingmentioning

confidence: 99%

Energy Applications of Magnetocaloric Materials

Kitanovski

2020

Advanced Energy Materials

377

156

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The need for energy‐efficient and environmentally friendly refrigeration, heat pumping, air conditioning, and thermal energy harvesting systems is currently more urgent than ever. Magnetocaloric energy conversion is among the best available alternatives for achieving these technological goals and has been the subject of substantial basic and applied research over the last two decades. The subject is strongly interdisciplinary, requiring proper understanding and efficient integration of knowledge in different specialized fields. This review article presents a historical and up‐to‐date account of the energy‐related applications of magnetocaloric materials and information about their processing and magnetic fields, thermodynamics, heat transfer, and other relevant characteristics. The article also discusses the conceptual design of magnetocaloric refrigeration and power generation systems and some guidelines for future research in the field.

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“…One of the implementation using Python has resulted in a package dedicated to caloric systems 118 . Nevertheless, most of the research used software packages already available, such as COMSOL Multiphysics, 32 Ansys Fluent, 90,111 Ansys Maxwell, 82 Openfoam, 168 modelica, 169 Flux2D and Flux3D, 78 GMESH and GETDP, 85 and FEMM 83 …”

Section: Numerical Implementationmentioning

confidence: 99%

Caloric devices: A review on numerical modeling and optimization strategies

2021

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Summary The discovery of giant caloric effects and further investigation on device systems that can compete with current heat management technologies in terms of efficiency have led to a major increase in modeling investigations. These models have been crucial in designing the most efficient, cheap, and robust setups with reliable performances. One example is the modeling of magnetic refrigerators and heat pumps that has been used in the optimization of critical geometrical parameters of magnetocaloric regenerators. In this paper, we review the model components of caloric heat pump and refrigerator systems, including field generation, heat transfer, caloric effects, fluid dynamics, and loss mechanisms. We also review the optimization strategies used so far, which are based on sensitive analysis, brute force approaches, statistical learning, and genetic algorithms. The analysis is applied to magnetocaloric, electrocaloric, elastocaloric, and barocaloric systems.

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Influence of magnetization on the applied magnetic field in various AMR regenerators

Cited by 12 publications

References 22 publications

Development and Validation of a 3-D Analytical Fluidic Model in Cartesian Coordinates for a Magnetic Refrigeration Application

Development and Validation of a 3-D Analytical Fluidic Model in Cartesian Coordinates for a Magnetic Refrigeration Application

Energy Applications of Magnetocaloric Materials

Caloric devices: A review on numerical modeling and optimization strategies

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