Entropy Generation Minimization Analysis of Active Magnetic Regenerators



Document title: Entropy Generation Minimization Analysis of Active Magnetic Regenerators
Journal: Anais da Academia Brasileira de Ciencias
Database: PERIÓDICA
System number: 000409019
ISSN: 0001-3765
Authors: 1
1
Institutions: 1Universidade Federal de Santa Catarina, Departamento de Engenharia Mecanica, Florianopolis, Santa Catarina. Brasil
Year:
Season: May
Volumen: 89
Pages: 717-743
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Analítico, descriptivo
English abstract A performance assessment of active magnetocaloric regenerators using entropy generation minimization is presented. The model consists of the Brinkman-Forchheimer equation to describe the fluid flow and coupled energy equations for the fluid and solid phases. Entropy generation contributions due to axial heat conduction, fluid friction and interstitial heat transfer are considered. Based on the velocity and temperature profiles, local rates of entropy generation per unit volume were integrated to give the cycle-average entropy generation in the regenerator, which is the objective function of the optimization procedure. The solid matrix is a bed of gadolinium spherical particles and the working fluid is water. Performance evaluation criteria of fixed cross-section (face) area ( FA ) and variable geometry ( VG ) are incorporated into the optimization procedure to identify the most appropriate parameters and operating conditions under fixed constraints of specified temperature span and cooling capacity
Disciplines: Ingeniería,
Física y astronomía,
Matemáticas
Keyword: Ingeniería de materiales,
Termodinámica y física estadística,
Matemáticas aplicadas,
Regenerador Magnético Activo (AMR),
Refrigeración magnética,
Criterios de evaluación del desempeño (PEC)
Keyword: Engineering,
Physics and astronomy,
Mathematics,
Materials engineering,
Thermodynamics and statistical physics,
Applied mathematics,
Active Magnetic Regenerator (AMR),
Magnetic refrigeration,
Performance Evaluation Criteria (PEC)
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