Open AccessDynamic mesh modeling and optimization of a thermoacoustic refrigerator using response surface methodology
Author(s) -
Liu Liu,
Zhe Yang,
Yingwen Liu,
Bo Gao
Publication year - 2018
Publication title -
thermal science/thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci170911059l
Subject(s) - stack (abstract data type) , refrigerator car , response surface methodology , position (finance) , computer science , surface (topology) , thermoacoustics , optimal design , mechanical engineering , acoustics , materials science , mathematics , engineering , physics , geometry , finance , machine learning , economics , programming language
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. The analysis of variance 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 response surface methodology 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.