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作 者:费继友[1] 田士博 王枫[1] 李花[1] FEI Jiyou;TIAN Shibo;WANG Feng;LI Hua(School of Locomotive and Rolling Stock Engineering ,Dalian Jiaotong University,Dalian 116028,China)
机构地区:[1]大连交通大学机车车辆工程学院,辽宁大连116028
出 处:《大连交通大学学报》2018年第6期40-44,91,共6页Journal of Dalian Jiaotong University
基 金:国家自然科学基金资助项目(51376028);国家科技支撑计划资助项目(2015BAF20B02)
摘 要:针对目前平直式翅片换热器缺乏多参数优化,且优化目标函数单一的问题,提出用响应面法建立优化参数与目标之间的关系,应用多目标遗传算法对翅片结构进行优化研究.在雷诺数一定时,以换热因子j,阻力系数f,换热器体积Vhe作为3个目标函数,对翅片间距H,热管横向中心间距S1,纵向中心间距S2,管径R这四个参数进行了优化研究.结果表明:当H为2. 60 mm、R为7. 00 mm、S1为17. 20mm、S2为8. 60 mm时阻力系数减少了26. 30%,换热因子提高了1. 11%,换热器体积减少了13. 93%,研究结果可为优化翅片结构设计,提高换热器性能提供指导参考.Aiming at multi-parameter and multi-objective optimizations of plate-fin-tube heat exchanger,a method of the response surface integrated with the multi-objective genetic algorithm is proposed for optimizing objective functions and parameters.The three objective functions of the maximum heat transfer factor,the minimum resistance coefficient,and the minimum exchanger volume are optimized by selecting appropriate parameters of fin spacing H,heat tube transverse center spacing S1,heat tube vertical center spacing S2and tube diameter R of offset fins.The results show that for a given Reynolds number under the conditions of H=2.6mm,R=7.0mm,S1=17.2mm and S2=8.6mm,the factor is decreased by 26.30%,the coefficient is increased by 1.11%,and the factor is decreased by 13.93%The proposed method can provide guidance for optimizing the fin structure design and improving the performance of the heat exchanger.
分 类 号:TK172[动力工程及工程热物理—热能工程]
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