基于差分进化算法的复合材料铝蜂窝夹芯筒优化设计  

Optimization of the composite aluminum honeycomb sandwich cylinder based on differential evolution algorithm

作　　者：韩启超 施丽铭[2] 马森 邓宇华[2] 盛聪[2] 赵启林[1] 姚远明 Han Qichao;Shi Liming;Ma Sen;Deng Yuhua;Sheng Cong;Zhao Qilin;Yao Yuanming(School of Mechanical and Power Engineering,Nanjing Tech University,Nanjing 211816,China;Beijing Institute of Spacecraft System Engineering,Beijing 100094,China;Department of Armor Training Department,Officers College of PAP,Guangzhou 510080,China)

机构地区：[1]南京工业大学机械与动力工程学院,南京211816 [2]北京空间飞行器总体设计部,北京100094 [3]武警警官学院兵种训练系,广州510080

出　　处：《现代制造工程》2020年第10期134-142,共9页Modern Manufacturing Engineering

基　　金：中国载人航天领域预先研究项目(载人四批040101)。

摘　　要：基于差分进化算法,建立了复合材料铝蜂窝夹芯筒优化设计程序。分析了优化设计的特点,针对基本差分进化算法自身的缺陷,对变异率和交叉率做出调整,提出一种改进的自适应差分进化算法,使得改进的算法具有较快的寻优速度和较好的全局搜索能力。开展了对复合材料铝蜂窝夹芯筒以质量最小为目标的优化设计。数值函数试验和工程仿真算例验证了改进的差分进化算法具有较好的全局收敛性,仿真结果表明,改进的算法较原算法可使铝蜂窝夹芯筒的质量减小15%。Based on the differential evolution algorithm,an optimized design procedure for the composite aluminum honeycomb sandwich cylinder was established.Analyzing the characteristics of the optimization problem and aiming at the shortcomings of the basic differential evolution algorithm,the mutation rate and crossover rate were adjusted,and an improved adaptive differential evolution algorithm was proposed,which made the improved algorithm has a faster optimization speed and better global search ability.The minimum mass of composite aluminum honeycomb sandwich cylinder was the optimal objective.The numerical function optimization experiment and engineering examples verify that the improved differential evolution algorithm has better global convergence and the simulation results show that the improved algorithm can reduce the weight of the sandwich cylinder by 15%compared with the original algorithm.

关 键 词：差分进化算法 复合材料铝蜂窝夹芯筒 优化 

分 类 号：TB332[一般工业技术—材料科学与工程]