Comparison between thermal resistances of optimized water-based and gallium-based heat sinks using the genetic algorithm

被引:3
作者
Xiang, Xiong [1 ]
Fan, Yu [2 ]
Liu, Wei [1 ]
Fan, Aiwu [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Energy & Power Engn, Wuhan, Peoples R China
[2] Univ Southampton, Sch Elect & Comp Sci, Southampton, Hants, England
关键词
Optimization; Genetic algorithm; Liquid metal; Thermal resistance; Heat sinks; GALINSTAN-BASED MINICHANNEL; PHASE FORCED-CONVECTION; SINGLE-PHASE; PRESSURE-DROP; MULTIOBJECTIVE OPTIMIZATION; MICROCHANNEL; PERFORMANCE; FLOW; COMBUSTION; DESIGN;
D O I
10.1108/HFF-07-2019-0590
中图分类号
O414.1 [热力学];
学科分类号
摘要
Purpose The purpose of this paper is to compare the thermal resistances between optimized gallium- and water-based heat sinks to show which one is superior. Design/methodology/approach Taking the thermal resistances of heat sinks as the goal function, an optimization process is programmed based on the genetic algorithm. The optimal channel/fin widths and the corresponding thermal resistances of gallium- and water-based heat sinks are obtained and compared with/without a laminar flow constraint. The analytic model and CFD method are applied in different situations to ensure sufficient accuracy. Findings The results show that in the laminar regime, the thermal resistance of optimized gallium-based heat sink is lower than the water-based counterpart in most cases, but the latter becomes better if it is long enough or the channel is sufficient high. Without the laminar constraint, the thermal resistance of the optimized gallium-based heat sink can be decreased by 33-45 per cent compared with the water-based counterparts. It is interesting to find that when the heat sink is long or the channel height is short, the optimal geometry of gallium-based heat sink is a mini gap. Originality/value This paper demonstrates that the cooling performance of gallium-based heat sink can be significantly improved by optimization without the laminar flow constraint.
引用
收藏
页码:1388 / 1406
页数:19
相关论文
共 50 条
  • [21] Optimized Water Rationing Model Based on Genetic and Ant Colony Hybrid Algorithm
    Zhu, XinGuo
    Zhang, Zhanyu
    Fan, Linsheng
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 6, 2009, : 427 - 431
  • [22] Numerical simulations of heat generation, thermal radiation and thermal transport in water-based nanoparticles: OHAM study
    Waseem, Farwa
    Sohail, Muhammad
    Lone, Showkat Ahmad
    Chambashi, Gilbert
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [23] Multi-objective optimization design of plate-fin heat sinks using a direction-based genetic algorithm
    Chen, Chyi-Tsong
    Chen, Hung-I.
    JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS, 2013, 44 (02) : 257 - 265
  • [24] Effect of helical baffles and water-based Al2O3, CuO, and SiO2 nanoparticles in the enhancement of thermal performance for shell and tube heat exchanger
    Gugulothu, Ravi
    Sanke, Narsimhulu
    HEAT TRANSFER, 2022, 51 (05) : 3768 - 3793
  • [25] Simulation of water conservancy scheduling system based on an optimized Dijkstra - genetic algorithm
    Wang M.
    Wang, Ming, 1600, Science and Engineering Research Support Society (11): : 319 - 330
  • [26] Heat transfer intensification in a shell and helical coil heat exchanger using water-based nanofluids
    Srinivas, T.
    Vinod, A. Venu
    CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2016, 102 : 1 - 8
  • [27] An Optimized Water Distribution Model of Irrigation District Based on the Genetic Backtracking Search Algorithm
    Sun, Zhipeng
    Chen, Jian
    Han, Yu
    Huang, Rui
    Zhang, Qi
    Guo, Shanshan
    IEEE ACCESS, 2019, 7 : 145692 - 145704
  • [28] Thermal characteristics of latent heat sinks based on low melting point metal and topologically optimized fins under lateral hypergravity
    Wang, Jiale
    Li, Tong
    Xu, Yu
    APPLIED THERMAL ENGINEERING, 2023, 228
  • [29] Optimizing BOINC Scheduling Using Genetic Algorithm Based on Thermal Profile
    Ismail, Norzatul Natrah Binti
    Bin Zakaria, M. Nordin
    Aziz, Izzatdin Bin Abdul
    Haron, Nazleeni Samiha Binti
    2014 INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCES (ICCOINS), 2014,
  • [30] Genetic Algorithm based optimized Color Image watermarking technique using SVD and DWT
    Panda, Jeebananda
    Nair, Akhil S.
    Uppal, Akshay
    Agrawal, Bhavesh
    2017 7TH IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2017, : 579 - 583