基于多目标遗传算法的舰载液冷板散热优化设计  

Optimization design of liquid marine cooling plate based on multiple objective genetic algorithm

作　　者：杨平[1] 陈正江[1] 黄巍[1] YANG Ping;CHEN Zheng-jiang;HUANG Wei(The 30 Research Institute of CETC, Chengdu 610041, China)

机构地区：[1]中国电子科技集团第三十研究所,四川成都610041

出　　处：《舰船科学技术》2018年第6期134-138,共5页Ship Science and Technology

摘　　要：本文针对舰载液冷板的散热、压力损失等问题,采用变截面流道设计提高流场内的雷诺系数,以达到高效换热的目标。为提高计算效率,利用BP网络建立液冷板的散热函数关系。以设备关键器件最高温度与液冷板的循环压差为设计目标,以流道内的翘片截面的几何尺寸与变截面长度为设计变量,采用增加惩罚算子的NGSA-2算法进行优化计算,取得了液冷系统的pareto前沿解集,并依据实际使用环境,选取一组解进行了工程实施验证,此优化方法的应用对液冷板的设计具有重要的指导意义。Aiming at the problem of marine cooling plate heat exchange and pressure loss, Using the variable cross-section channel design to improve the Reynolds coefficient, in order to achieve the goal of efficient heat exchanger. building functional relationships of liquid cooling plate by Using BP network, In order to improve the computational efficiency. With the highest temperature of key device and cooling plate circulation pressure as the design object, and the geometry size of the fin section in channel and the length of variable cross-section as design variables, No-dominated Sorting Genetic Algorithm with punishment operator is used to obtain Pareto front solution of the cooling system. According to the actual use environment, a set of solutions is selected for engineering verification,The using of this optimization method has an important guiding significance for design of cooling plate.

关 键 词：液冷板 散热 BP神经网络 NSGA-2算法 PARETO前沿 

分 类 号：TH12[机械工程—机械设计及理论]