首页|Constructal design of a rectangular porous fin considering minimization of maximum temperature difference and pumping power consumption

Constructal design of a rectangular porous fin considering minimization of maximum temperature difference and pumping power consumption

扫码查看
A heat dissipation model of a rectangular porous fin is established based on constructal theory.First,the constructal design of rectangular porous fin is conducted by selecting a complex function minimization,which composed of linear weighting sum of maximum temperature difference and pumping power consumption,as optimization objective.Effects of gap height,air inlet velocity,total porous fin volume and porosity on the optimal constructs are investigated,respectively.The findings show that the complex function can attain its double minimum at a value of 0.802 when the fin length and number are optimized,and the corresponding optimal fin length and number are 8.01 mm and 10,respectively.In comparison to original design,the complex function and maximum temperature difference after twice optimization are decreased by 19.80%and 66.31%,respectively.Second,the comprehensive performance of porous fin is improved by simultaneously optimizing the fin length and number.The artificial neural network is applied to predict the fin performances,which is used to conduct multi-objective optimization based on NSGA-Ⅱ algorithm.Optimal structure of porous fin for multiple requirements is gained by LINMAP and TOPSIS decision-making strategies.The findings in this study can serve as theoretical guides for fin thermal designs of electronic devices.

constructal theoryrectangular porous finpumping power consumptionmaximum temperature differencecomplex functionmulti-objective optimization

LIU XiaoYe、FENG HuiJun、CHEN LinGen、GE YanLin

展开 >

Institute of Thermal Science and Power Engineering,Wuhan Institute of Technology,Wuhan 430205,China

Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment,Wuhan 430205,China

School of Mechanical & Electrical Engineering,Wuhan Institute of Technology,Wuhan 430205,China

College of Power Engineering,Naval University of Engineering,Wuhan 430033,China

展开 >

国家自然科学基金Graduate Innovative Fund of Wuhan Institute of Technology

52171317CX2022070

2024

中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子:1.056
ISSN:1674-7321
年,卷(期):2024.67(3)
  • 83