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基于遗传算法的小型化液压油源用错列翅片式换热器优化研究

Translated title of the contribution: Optimization of Staggered Fins Heat Exchangers for Miniaturized Hydraulic Power Units Using Genetic Algorithm
  • Zhejiang University
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The compact, lightweight, and energy-efficient heat exchanger is significant for the miniaturization of hydraulic power unit in high-performance mobile equipment. A rectangular staggered fins heat exchanger(RSFHE) is presented and optimized based on the empirical correlations of heat transfer and flow resistance for the fluids with different Prandtl numbers. Function models including the related mass, outlet temperature and pressure drop are deduced. A sensitivity analysis is presented to investigate the effect of key parameters on function models, which can evaluate the contributions of variables to the comprehensive performance of the heat exchanger. Based on these function models, the cooler key parameters are optimized using genetic algorithm(GA). Moreover, numerical simulations are conducted to explore the thermal-hydraulic performance of the original and optimized heat exchangers. The results show that the inlet-outlet temperature difference and the pressure drop of the hydraulic oil between the theoretical and numerical results achieve a goodagreement. At the same time, the total weight reduces by 25.79% and the inlet-outlet temperature difference of the hydraulic oil increases by 25.24% for the optimized heat exchanger, which is a great improvement for the miniaturization and lightweight of the hydraulic power unit.

Translated title of the contributionOptimization of Staggered Fins Heat Exchangers for Miniaturized Hydraulic Power Units Using Genetic Algorithm
Original languageChinese (Traditional)
Pages (from-to)49-57
Number of pages9
JournalJixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
Volume57
Issue number24
DOIs
StatePublished - 20 Dec 2021

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