Multi-Objective Optimization of Hybrid Heat Sinks with Phase Change Materials

被引:1
|
作者
Nedumaran, Muthamil Selvan [1 ]
Trilok, Govindappa [1 ]
Gnanasekaran, Nagarajan [1 ,3 ]
Hooman, Kamel [2 ]
机构
[1] Natl Inst Technol Karnataka, Dept Mech Engn, Surathkal, India
[2] Delft Univ Technol, Dept Proc & Energy, Delft, Netherlands
[3] Natl Inst Technol Karnataka, Dept Mech Engn, Mangalore 575025, India
关键词
THERMAL-ENERGY STORAGE; NUMERICAL OPTIMIZATION; METAL FOAMS; PCM; PERFORMANCE; ENHANCEMENT; SOLIDIFICATION; NANOPARTICLES; CONVECTION; DESIGN;
D O I
10.1080/01457632.2023.2234770
中图分类号
O414.1 [热力学];
学科分类号
摘要
A passive method with phase change material (PCM) is an appropriate technique in electronic cooling. But, due to its poor thermal conductivity, many enhancers are employed to reduce the thermal resistance offered by the PCM. A partial filling strategy to reduce the cost and weight of foams with fins is used in this study. A hybrid heat sink with a combination of fins placed at the sidewalls of the enclosure and foams filled at certain heights such as 10, 20, and 30 mm is considered in this present work. A two-dimensional numerical model with n-eicosane as PCM is developed in ANSYS Fluent 19. A multi-objective optimization is carried out using a reliable multi criteria decision making approach. Different weightage is distributed to the objective functions in this method depending on the choice of the user. The pore size and density vary for various filling heights, and 60 cases are investigated for both charging and discharging cycles. The pore size of 0.8-0.95 and pore density of 5-25 pores per inch with a broad range is considered. From the discussions, guidelines for selecting a preferable pore size and pore density can be determined based on the filling height and applied weightage.
引用
收藏
页码:1028 / 1049
页数:22
相关论文
共 50 条
  • [41] Multi-objective Optimization of Hybrid Electric Vehicle Powertrain
    Dong, Enguo
    Zhang, Lei
    Shi, Hong
    PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 1429 - 1432
  • [42] A Hybrid Immigrants Strategy for Dynamic Multi-objective Optimization
    Shi, Lulu
    Wu, Yan
    Zhou, Yan
    PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2018, : 589 - 593
  • [43] Multi-Objective Design Optimization for Flexible Hybrid Electronics
    Bhat, Ganapati
    Gupta, Ujjwal
    Tran, Nicholas
    Park, Jaehyun
    Ozev, Sule
    Ogras, Umit Y.
    2016 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD), 2016,
  • [44] Multi-objective optimization of the sizing of a hybrid electrical vehicle
    Reinbold, Vincent
    Gerbaud, Laurent
    Vinot, Emmanuel
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2017, 53 : S179 - S190
  • [45] Multi-objective Optimization on DVFS based Hybrid Systems
    Gadou, Mohamed
    Mogili, Sankeerth Reddy
    Banerjee, Tania
    Ranka, Sanjay
    2019 TENTH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC), 2019,
  • [46] A Hybrid Multi-objective Immune Algorithm for Numerical Optimization
    Leung, Chris S. K.
    Lau, Henry Y. K.
    PROCEEDINGS OF THE 8TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE, VOL 1: ECTA, 2016, : 105 - 114
  • [47] The Multi-Objective Routing Optimization Algorithm for Hybrid SDN
    Gu, Suolin
    Luo, Lijuan
    Zhao, Zhekun
    Li, Xiaofang
    PROCEEDINGS OF THE 28TH CONFERENCE OF SPACECRAFT TT&C TECHNOLOGY IN CHINA: OPENNESS, INTEGRATION AND INTELLIGENT INTERCONNECTION, 2018, 445 : 487 - 499
  • [48] New hybrid algorithm for multi-objective structural optimization
    Samira, El Moumen
    Rachid, Ellaia
    Rajae, Aboulaich
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IEEE-IESM 2013), 2013, : 458 - 462
  • [49] A Multi-Objective Hybrid Algorithm for Optimization of Grid Structures
    Xiong, Zhe
    Li, Xiao-Hui
    Liang, Jing-Chang
    Li, Li-Juan
    INTERNATIONAL JOURNAL OF APPLIED MECHANICS, 2018, 10 (01)
  • [50] Multi-objective trajectory optimization for a hybrid propulsion system
    Li, Taibo
    Wang, Zhaokui
    Zhang, Yulin
    ADVANCES IN SPACE RESEARCH, 2018, 62 (05) : 1102 - 1113