摘要
针对复杂机械系统中构件优化结果不精确的问题,基于子结构法,研究了构件边界条件精确确定的方法,提出了逐步逼近拓扑优化策略。同时针对企业应用CAE软件存在操作复杂的问题,运用TCL语言以及其它二次开发技术,建立了基于HyperWork平台下汽车座椅构件拓扑优化的自动化系统,实现了参数化建模、仿真分析与拓扑优化设计的功能。以某型号座椅骨架右侧板为例,说明构件拓扑优化过程以及自动化系统的相关功能。验证了提出的优化方法的有效性以及开发的自动化系统的实用性与高效性。
Due to the uncertainty of the structural optimization in accurate identifying method for the boundary conditions based on a complex mechanical system, in this paper an sub-structure techniques is studied, a successive approximation topological optimization design is proposed to make the structural topology gradually achieve optimal structure. In addition, aiming at solving the problem of complexity to do CAE analysis for enterprise, an automatic system for automobile seat components based on the HyperWorks is constructed by using TCL language and other secondary development techniques. FEA analysis, simulation analysis and topology optimization design are real- ized. A component named the right side panel of an automobile seat skeleton is selected as a typical example to demonstrate the suggested design process and the detail functions of the developed automatic system. The result shows that the present methods are effective and the developed system has practical and efficient advantages during the CAE analysis process.
出处
《机械科学与技术》
CSCD
北大核心
2013年第12期1869-1873,1878,共6页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(50875174
51175347)
上海市教委科研创新重点项目(13ZZ114)资助
关键词
汽车座椅
拓扑优化
自动化系统
二次开发
automabile seats
boundary conditions
computer aided engineering
computer programming langua ges
computer simulation
computer software
design
efficiency
finite element method
flowchart ing
shap optimization
structural optimization
topology optimization
automatic system
secondary development