机械科学与技术2012，Vol.31Issue(8)：1295-1300,6.
基于神经网络与遗传算法的移动硬盘耐撞性能多目标优化设计
Multi-objective Optimization for Mobile Hard Disk Crashworthiness Based on ANN and GA
摘要
Abstract
In view of inner structure and complying with quality equivalent principle, a 2.5 inch mobile hard disk was modeled based on ANSYS/LS-DYNA. The non-linear mapping relation between structural parameters of the key components and drop impact response was built using FEM （finite element method） and experimental design. Drop impact processes of different head actuator arm thickness, cantilever thickness and pivot bearing stiffness were simulated in order to obtain training specimen for the ANN （artificial neutral network）. The BP ANN prediction model was established. Multiple objective optimization algorithms for crashworthiness of mobile hard disk were analyzed based on ANN and GA （genetic algorithm）. The results indicate that the method is effective and may provide theory gist of preferences in key part parameter design.关键词
移动硬盘/多目标优化/均匀设计/神经网络/遗传算法Key words
mobile hard disk/multi-objective optimization/uniform design/ANN/GA分类
信息技术与安全科学引用本文复制引用
杨书仪,刘德顺,赵继云..基于神经网络与遗传算法的移动硬盘耐撞性能多目标优化设计[J].机械科学与技术,2012,31(8):1295-1300,6.基金项目
基金项目：国家自然科学基金项目（51075139）,教育部科学技术研究重点项目（211120）,湖南省教育厅科学研究青年项目（108030）和湖南省高校科技创新团队支持计划项目资助 （）
