TY - JOUR
TI - Dynamic mesh modeling and optimization of a thermoacoustic refrigerator using response surface methodology
AU - Liu Liu
AU - Yang Zhe
AU - Liu Yingwen
AU - Gao Bo
JN - Thermal Science
PY - 2018
VL - 22
IS - 12
SP - 739
EP - 747
PT - Article
AB - In this study, a dynamic mesh model was proposed in the light of the actual  working condition of an acoustic driver. Moreover, the structural  optimization of the stack to improve the performance of thermoacoustic  refrigerator was presented using response surface methodology (RSM). The  analysis of variance (ANOVA) was conducted to describe the rationality of  regression model and examine the statistical significance of factors. Based  on the consideration of parameters interaction, the optimized values of stack  parameters suggested by RSM have been predicted successfully. Results showed  that optimal stack parameters group could realize the optimal cooling  performance. The optimal ratios of stack spacing to stack thickness and stack  length to stack position were 3.59-4 and 0.77-1, respectively. This study  provides a new method for CFD modeling and optimizing the thermoacoustic  refrigerator, which helps to popularize its application.