摘要
为解决航空换热器在设计过程中多目标多准则的结构耦合优化设计问题,应用单参考向量系多目标进化算法,以重量和效率为目标,在流动阻力、雷诺数、空间尺寸等多条件约束下对板翅式换热器结构参数进行了优化。结果表明,算法可获得换热器结构优化问题的Pareto阵面,并可根据工程实际筛选出所需结果。与优化前模型相比,优化后的换热器在效率不减的情况下,重量减轻了20%。方法保留了优化结果种群的多样性,可为换热器的结构设计与优化提供参考。
In order to solve the problem of multi-objective and multi-criterion structure coupling optimization design in the design process of aviation heat exchanger,the structure parameters of plate-fin heat exchanger are optimized by using the single reference system multi-objective evolutionary algorithm,taking weight and efficiency as objective functions,and under the constraints of flow resistance,Reynolds number,space size and other conditions.The results show that the Pareto curve of the heat exchanger structure optimization problem can be obtained by using this algorithm,and the final results can be obtained according to the actual engineering.Compared with the model before optimization,the weight of the optimized heat exchanger is reduced by 20%without decreasing the efficiency.This method preserves the diversity of optimization results and can provide reference for the structure design and optimization of heat exchangers.
作者
李翔
李俊
蒋彦龙
李斐然
谷俊
詹宏波
LI Xiang;LI Jun;JIANG Yan-long;LI Fei-ran;GU Jun;ZHAN Hong-bo(Key Laboratory of Aircraft Environmental Control and Life Support,MIIT,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;School of Environmental Science and Engineering,Suzhou University of Science and Technology,Suzhou 215009,China;Key Laboratory for Power Transmission Technology of Aero-Engine,Aero Engine Corporation of China,Shenyang 110015,China;Key Laboratory of Aviation Electromechanical Integration Technology,Nanjing 211106,China)
出处
《航空计算技术》
2021年第2期78-82,共5页
Aeronautical Computing Technique
基金
江苏省青年基金项目资助(BK20190944)
江苏省高校优势学科建设工程项目资助。
关键词
板翅式换热器
遗传算法
多目标
优化设计
plate-fin heat exchanger
genetic algorithm
multi-objective
optimal design
