Geometry optimization of thermoelectric coolers using simplified conjugate-gradient method

Yu Xian Huang, Xiao Dong Wang, Chin Hsiang Cheng, David Ta Wei Lin

研究成果: Article同行評審

81 引文 斯高帕斯(Scopus)


This paper develops an inverse problem approach to optimize the geometric structure of TECs (thermoelectric coolers). The approach integrates a complete multi-physics TEC model and a simplified conjugate-gradient method. The present TEC model couples the heat and electrical conductions and accounts for all physical mechanisms occurred within TECs. Three geometric parameters, the semiconductor pair number, N, leg length of semiconductor column, Hpn, and base area ratio of semiconductor columns to TEC, γ, are optimized simultaneously at fixed current and fixed temperature difference. The cooling rate on the cold end is the objective function to be maximized to obtain the optimal TEC geometry. The effects of applied current and temperature difference on the optimal geometry are discussed. The results show that at temperature difference of 20K, the geometry optimization increases the TEC cooling rate by 1.99-10.21 times compared with the initial TEC geometry, and the optimal N decreases from 100 to 47 with invariable γ=0.95 and Hpn=0.2mm, as the applied current varies from 1.0A to 3.0A. With the increase in temperature difference, the optimal N increases at smaller currents of I≤1.0A, however, it is almost invariable at larger currents of I≥1.5A.

頁(從 - 到)689-697
出版狀態Published - 2013 9月 15

All Science Journal Classification (ASJC) codes

  • 土木與結構工程
  • 建築與營造
  • 污染
  • 機械工業
  • 工業與製造工程
  • 電氣與電子工程


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