THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

External Links

Liu Liu

,

Zhe Yang

,

Yingwen Liu

,

Bo Gao

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.
KEYWORDS
CFD, response surface methodology (RSM), cold end solid temperature, thermoacoustic refrigerator
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]
REFERENCES
  1. Zink F., Vipperman J., Schaefer L., CFD simulation of thermoacoustic cooling, International Journal of Heat & Mass Transfer, 53 (2010), 19-20 , pp. 3940-3946
  2. Ke, H. B., Liu, Y. W., He, Y. L., et al., Numerical simulation and parameter optimization of thermo-acoustic refrigerator driven at large amplitude, Cryogenics, 50 (2010), 1, pp. 28-35
  3. Zink F., Waterer H., Archer R., et. al, Geometric optimization of a thermoacoustic regenerator, International Journal of Thermal Sciences, 48 (2009), 12 , pp. 2309-2322
  4. Tijani M. E. H., Zeegers J. C. H., de Waele A. T. A. M., Design of thermoacoustic refrigerators, Cryogenics, 42 (2002), 1, pp. 49-57
  5. Bassem M. M., Ueda Y., Akisawa A., Design and construction of a traveling wave thermoacoustic refrigerator, International Journal of Refrigeration, 34 (2011), 4, pp. 1125-1131
  6. Yang, P., Liu Y. W., Zhong G. Y., Prediction and parametric analysis of acoustic streaming in a thermoacoustic Stirling heat engine with a jet pump using response surface methodology. Applied Thermal Engineering, 103 (2016), pp. 1004-1013
  7. Yang, P., Chen H., Liu Y. W., Application of response surface methodology and desirability approach to investigate and optimize the jet pump in a thermoacoustic Stirling heat engine. Applied Thermal Engineering, 127 (2017), pp. 1005-1014
  8. Desai A. B., Desai K. P., Naik H. B., et.al, Optimization of thermoacoustic engine driven thermoacoustic refrigerator using response surface methodology, Proceedings, 26th IOP Conf., New Delhi, India, 2017, Vol. 171, pp.1-8
  9. Hariharan N. M., Sivashanmugam P., Kasthurirengan S., Optimization of thermoacoustic prime mover using response surface methodology, Hvac & R Research, 18 (2012), 5, pp. 890-903
  10. Swift G. W., Garrett S. L., Thermoacoustics: A Unifying Perspective for Some Engines and Refrigerators, J. Acoust. Soc. Am., 113 (2003), 5, pp. 2379-2381
PDF VERSION [DOWNLOAD]
Dynamic mesh modeling and optimization of a thermoacoustic refrigerator using response surface methodology

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, 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