Temperature uniformity analysis and multi-objective optimization of the microchannel heat sink with cavities under longitudinal vortex flow

被引:2
|
作者
Liu, Junhao [1 ]
Feng, Zhenfei [1 ]
Li, Zhenzhou [1 ]
Liang, Shanpan [1 ]
Nie, Jiachang [1 ]
Wang, Ziyu [1 ]
Zhang, Jinxin [2 ]
Guo, Fangwen [3 ]
Yuan, Ding [4 ]
机构
[1] Guangxi Univ, Sch Mech Engn, Nanning 530004, Peoples R China
[2] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510641, Guangdong, Peoples R China
[3] Guangxi Zhuang Autonomous Reg Special Equipment In, Nanning 530200, Peoples R China
[4] Guangzhou Railway Polytech, Sch Mech & Elect Engn, Guangzhou 511300, Peoples R China
基金
中国国家自然科学基金;
关键词
Microchannel; Longitudinal vortex generator; Multi-objective optimization; Temperature uniformity; Cavity structure; TRANSFER ENHANCEMENT; RECTANGULAR MICROCHANNEL; PERFORMANCE; GENERATORS;
D O I
10.1016/j.ijthermalsci.2024.109034
中图分类号
O414.1 [热力学];
学科分类号
摘要
With the development of electronic devices toward a more centralized direction, there is an urgent need to introduce new technologies in the microchannel heat sink to address thermal deformation or failure caused by uneven temperature distribution. Therefore, microchannels with longitudinal vortex generators (LVGs) and different shapes of cavity structures combination are designed innovatively to address this issue. The laminar flow solver solves for single-phase, steady, and fully developed liquid flows through microchannels in the inlet Reynolds number range of 168-793. Study finds that the longitudinal vortex flow not only mixes the fluid in the mainstream region but also effectively weakens the retention effect in the cavities. Among all microchannels, the microchannel with LVGs and triangular cavities combination (MC-LTC) shows the best performance. Subsequently, multi-objective optimization of the MC-LTC is carried out using Non-dominated Sorting Genetic II Algorithm with the pumping power (Pp) and the temperature uniformity factor (E) as objective functions, and the relative heights (alpha, beta, gamma) of the three pairs of LVGs as the three design variables. The optimal solutions set for Pp and E range from 0.706 mW to 1.018 mW and 0.547 to 0.716, respectively. Among the five selected Pareto optimal solution parameters, MC-LTC (alpha = 0.6001, beta = 1.3528, gamma = 1.3707) and MC-LTC (alpha = 0.6001, beta = 1.0725, gamma = 1.3017) show the best temperature uniformity performance.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Sensitivity analysis and multi-objective optimization of a heat exchanger tube with conical strip vortex generators
    Zheng, Nianben
    Liu, Peng
    Shan, Feng
    Liu, Zhichun
    Liu, Wei
    APPLIED THERMAL ENGINEERING, 2017, 122 : 642 - 652
  • [42] Multi-objective optimization of heat sink with multi-cross-ribbed-fins for a motor controller
    Zhang, Chao
    Chen, Liang
    Tong, Zhiting
    Journal of Engineering and Applied Science, 2022, 69 (01):
  • [43] Multi-objective optimization of heat sink with multi-cross-ribbed-fins for a motor controller
    Zhang C.
    Chen L.
    Tong Z.
    Journal of Engineering and Applied Science, 2022, 69 (1):
  • [44] Swarm-based multi-objective optimization of double-layered microchannel heat sink with hybrid solid-porous ribs
    Pakrouh, R.
    Varedi-Koulaei, S. M.
    Rahimi, M.
    NUMERICAL HEAT TRANSFER PART B-FUNDAMENTALS, 2024,
  • [45] Multi-objective optimization of double-layer microchannel heat sink with trapezoidal cross-sections based on computational fluid dynamics
    Mohammadi, Rafat
    Dadras, Vahid
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2025, 214
  • [46] Multi-objective optimization of a liquid metal cooled heat sink for electronic cooling applications
    Kalkan, Orhan
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2023, 190
  • [47] Multi-objective geometric optimization of a PCM based matrix type composite heat sink
    Srikanth, R.
    Nemani, Pavan
    Balaji, C.
    APPLIED ENERGY, 2015, 156 : 703 - 714
  • [48] Mathematical modeling and multi-objective optimization on the rectangular micro-channel heat sink
    Shang, Xue-shuo
    Li, Qing-wen
    Cao, Qun
    Li, Zi-rui
    Shao, Wei
    Cui, Zheng
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2023, 184
  • [49] Multi-objective optimization of a Fibonacci phyllotaxis micro pin-fin heat sink
    Shemelash, Ayechew
    Tamrat, Bimrew
    Temesgen, Muluken
    Gopal, Rajendiran
    Desalegn, Belachew
    Mulugeta, Hailemariam
    Solomon, Henok Gyohannes
    HEAT TRANSFER, 2024, 53 (06) : 3235 - 3262
  • [50] Multi-objective optimization of flat plate heat sink using Taguchi-based Grey relational analysis
    S. Manivannan
    S. Prasanna Devi
    R. Arumugam
    N. M. Sudharsan
    The International Journal of Advanced Manufacturing Technology, 2011, 52 : 739 - 749