Multiobjective geometry optimization of microchannel heat exchanger using real-coded genetic algorithm

被引：30
|
作者：
Garcia, John Carlo S. [1 ,2 ]
Tanaka, Hiroki [1 ]
Giannetti, Niccolo [3 ,4 ]
Sei, Yuichi [5 ]
Saito, Kiyoshi [1 ,4 ]
Houfuku, Mamoru [6 ]
Takafuji, Ryoichi [6 ]
机构：
[1] Waseda Univ, Dept Appl Mech & Aerosp Engn, Tokyo 1698555, Japan
[2] Univ Philippines, Dept Mech Engn, Quezon City 1101, Philippines
[3] Waseda Univ, Waseda Inst Adv Study, Tokyo 1698050, Japan
[4] Waseda Univ, Interdisciplinary Inst Thermal Convers Engn & Mat, Tokyo 1698555, Japan
[5] Univ Electrocommun, Dept Informat, Tokyo 1828585, Japan
[6] Hitachi Johnson Controls Air Conditioning Inc, 500 Tomida,Ohira Machi, Tochigi City, Tochigi 3294404, Japan
来源：
APPLIED THERMAL ENGINEERING | 2022年 / 202卷
关键词：
Microchannel heat exchanger; Optimization; Real-coded genetic algorithm; TRANSFER PERFORMANCE; FLOW DISTRIBUTION; PARAMETERS; DESIGN; SINK;
D O I：
10.1016/j.applthermaleng.2021.117821
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
In this paper, a multiobjective optimization of the structure of a flat-tubed microchannel heat exchanger is performed to reduce its volume and fan power at a specified capacity. Design variables include tube height, tube width, tube length, fin height, and fin pitch. A weight-based, real-coded genetic algorithm is implemented to optimize the design variables within their specified range of dimensions. To further improve the numerical simulations of the microchannel heat exchanger performance, correlations for the air-side Nusselt number, friction factor, and fin efficiency are developed and validated. In the optimization, the Pareto optimal fronts are obtained by varying weights of the two conflicting objectives. A reference microchannel heat exchanger operating at different capacities is optimized. Results show that the volume and fan power of the reference microchannel heat exchanger can be reduced by up to 45% and 51% respectively, depending on the weighting factor selected. The optimization approach of this study provides the optimal solutions at the given domain of geometric parameter dimensions.
引用
收藏
页数：13
相关论文
共 50 条
  • [21] Information space optimization with real-coded genetic algorithm for inductive learning
    Orihara, R
    Murakami, T
    Sueda, N
    Sakurai, S
    HYBRID INFORMATION SYSTEMS, 2002, : 415 - 429
  • [22] Real-coded genetic algorithm for signal timings optimization of a single intersection
    Chen, XF
    Shi, ZK
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 1245 - 1248
  • [23] Optimization of an impact drive mechanism based on real-coded genetic algorithm
    Ha, JL
    Fung, RF
    Han, CF
    SENSORS AND ACTUATORS A-PHYSICAL, 2005, 121 (02) : 488 - 493
  • [24] An Efficient Parameter Optimization Approach Based on Real-coded Genetic Algorithm
    Chen, Zhi-Qiang
    ADVANCED MECHANICAL DESIGN, PTS 1-3, 2012, 479-481 : 1835 - 1840
  • [25] Source Mask Optimization Using Real-Coded Genetic Algorithms
    Yang, Chaoxing
    Wang, Xiangzhao
    Li, Sikun
    Erdmann, Andreas
    OPTICAL MICROLITHOGRAPHY XXVI, 2013, 8683
  • [26] Economic dispatch using an efficient real-coded genetic algorithm
    Amjady, N.
    Nasiri-Rad, H.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2009, 3 (03) : 266 - 278
  • [27] Data fitting with a spline using a real-coded genetic algorithm
    Yoshimoto, F
    Harada, T
    Yoshimoto, Y
    COMPUTER-AIDED DESIGN, 2003, 35 (08) : 751 - 760
  • [28] Blurred image restoration by using Real-coded genetic algorithm
    Nishikado, H
    Murata, H
    Yamaji, M
    Yamauchi, H
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2002, E85A (09) : 2118 - 2126
  • [29] Optimization in Electromagnetics Using the Real-coded Clonal Selection Algorithm
    Campelo, Felipe
    Guimaraes, Frederico G.
    Ramirez, Jaime A.
    Igarashi, Hajime
    2008 IEEE CONFERENCE ON SOFT COMPUTING IN INDUSTRIAL APPLICATIONS SMCIA/08, 2009, : 89 - +
  • [30] A real-coded genetic algorithm with genetic operation combination
    Yang Qiang-da
    Sang Hai-feng
    Wang Fu-li
    Proceedings of 2006 Chinese Control and Decision Conference, 2006, : 412 - 415
12345