SECOND LAW OPTIMIZATION OF REGENERATIVE GEOMETRIES FOR MAGNETIC COOLING APPLICATIONS

摘要

The present paper advances a second law optimization method for regenerator geometries applied in magneticrncooling systems. A 1-D transient model was developed to solve the fluid flow and heat transfer in active magnetic regenerators (AMRs). The model was incorporated into an optimization analysis based on the entropy generation minimization (EGM) theory. This paper focuses on a fixed geometry (FG) performance evaluation criterion (PEC) in which the influence of operating parameters (mass flow rate and frequency) was evaluated for different geometries such as parallel plates, pins and spheres.