摘要
针对车身覆盖件的常规CAE抗凹分析前处理过程中,重复性工作过多、分析效率低、容易出错的问题,利用Hyper Works软件的二次开发功能,借助于TCL/TK语言平台,以CAE分析经验为依托,设计出了一套完全流程自动化的CAE抗凹分析前处理平台,并对系统的开发软件平台、开发语言、开发流程等进行了详细地描述。以某车型的车门CAE抗凹分析为例,对流程自动化方法与常规方法的前处理效率进行了对比,对车门CAE抗凹分析结果与实验结果进行了对比。研究结果表明,流程自动化分析效率提高了92.8%,该流程自动化系统可为CAE分析人员提供专业、可靠、高效的前处理平台,大幅度提高了新车研发效率,减少了人工参与,降低了出错概率。
Aiming at the problems of repetitive work, low analysis efficiency, and error-prone, which exist in the conventional CAE dent resistance analysis of automobile covering parts, the process automation CAE sinking-resistance former processing platform was devised. It was developed under HyperWorks, with the utilization of the TCL/TK language platform, and based on the CAE analytic experience.A detail description of the system software development platform development language, and development process was given. Taking an example of the doors dent resistance analysis, comparisons of the pre-processing efficiency between process automation method and general way, the CAE sinking-resistance analysis results between experiment and simulation were made. The results indicate that the pre- processing efficiency increased by 92.8%, and provides professional, reliable, efficient pre-processing platform for CAE analyst, therefore it will greatly improves the efficiency of new car development, reduce artificial participation, and lower the error probability.
出处
《机电工程》
CAS
2015年第2期196-200,205,共6页
Journal of Mechanical & Electrical Engineering
