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DYNAMIC MESH MODELING AND OPTIMIZATION OF A THERMOACOUSTIC REFRIGERATOR USING RESPONSE SURFACE METHODOLOGY

ABSTRACT
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.
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PAPER SUBMITTED: 2017-09-11
PAPER REVISED: 2017-12-19
PAPER ACCEPTED: 2017-12-22
PUBLISHED ONLINE: 2018-02-18
DOI REFERENCE: https://doi.org/10.2298/TSCI170911059L
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2018, VOLUME 22, ISSUE Supplement 2, PAGES [S739 - S747]
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© 2018 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence