• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2017, Vol. 53 ›› Issue (20): 145-152.doi: 10.3901/JME.2017.20.145

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Numerical Computation of the Coefficient of Performance and Optimal Design of the Stack in Thermoacoustic Refrigerators

JIN Chengming1,2, PENG Yehui3, LIU Deshun1,2   

  1. 1. School of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201;
    2. Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201;
    3. Hunan Province College Key Laboratory of Knowledge Processing and Networked Manufacturing, Hunan University of Science and Technology, Xiangtan 411201
  • Received:2016-11-05 Revised:2017-04-15 Online:2017-10-20 Published:2017-10-20

Abstract: Stack is the most important component in the thermoacoustic engine for it directly affects the efficiency. For standing-wave thermoacoustic refrigerator, a numerical algorithm for the coefficient of performance of stack and an optimal design method of stack are presented, respectively. Considering the limits of the short-stack approximation method for stack, we an iterative algorithm for coefficient of performance of stack is constructed, by which the total power together with pressure, volume flow rate, average temperature function and gradient of temperature can be obtained at the same time. Based on the presented numerical method, the effects of length, width, position, block ratio and temperature difference on the coefficient of performance of stack are investigated. Then, choosing length, width, position and block ratio of stack as the design variables and coefficient of performance as the optimization objective, the thermoacoustic stack is optimized by using the genetic algorithm. Compared with the short-stack approximation method, the numerical method presented in the work is more accurate and the optimized results are more acceptable since some practical factors are taken in account.

Key words: genetic algorithm, linear thermoacoustics theory, optimal design, thermoacoustic refrigerator

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