机械式剪板机有限元分析及结构优化

发布时间：2018-01-04 16:34

本文关键词：机械式剪板机有限元分析及结构优化　出处：《西安电子科技大学》2013年硕士论文　论文类型：学位论文

【摘要】：现代设计分析方法不断更新发展，为机床结构的设计、优化及改进提供了全新的方法，选择合适的优化设计方法不但降低了成本，缩短了设计周期，而且提高了产品质量。本文主要研究机械式剪板机压料装置及机架的结构设计和优化，最终获得了优化设计的方案。首先，对结构优化设计方法和原理进行了对比分析，提出基于响应面法和遗传算法相结合的多目标优化设计方法，，并对其原理和优化步骤进行研究探讨。其次，运用Pro/Engineer软件对剪板机整体结构进行了参数化建模，并对整体装配模型进行干涉分析，同时根据其工作原理和相关数据对关键结构进行了受力分析。再次，将建立的剪板机压料装置和机架结构的三维参数化模型直接导入有限元分析软ANSYS Workbench中，对结构进行静力和动力仿真分析，根据分析结果对结构进行改进，并对压料装置工况接触问题进行研究，确保结构设计安全可靠。最后，对压料装置结构建立形状和尺寸优化问题下的参数化模型，采用中心复合实验设计方法抽取样本点，依据响应面法对样本点进行数值模拟，最终通过多目标遗传算法确定优化方案，获得优化结果。
[Abstract]:The development of modern design and analysis method provides a new method for the design, optimization and improvement of machine tool structure. Choosing suitable optimal design method not only reduces the cost, but also shortens the design period. And improve the quality of the product. This paper mainly studies the structure design and optimization of the mechanical shearing machine press device and frame, and finally obtains the optimal design scheme. Firstly, the structure optimization design method and principle are compared and analyzed. A multi-objective optimization design method based on response surface method and genetic algorithm is proposed, and its principle and optimization steps are discussed. Secondly. The parametric modeling of the whole structure of the shearing machine is carried out by using Pro/Engineer software, and the interference analysis of the whole assembly model is carried out. At the same time, according to its working principle and related data, the force of the key structure is analyzed. The three-dimensional parameterized model of the press and frame structure of the shearing machine is directly introduced into the finite element analysis soft ANSYS Workbench, and the static and dynamic simulation analysis of the structure is carried out. According to the analysis results, the structure is improved, and the contact problem of the press device is studied to ensure the safety and reliability of the structure design. The parameterized model for the shape and size optimization of compacting device was established. The central composite experimental design method was used to extract the sample points, and the numerical simulation of the sample points was carried out according to the response surface method. Finally, the optimization scheme is determined by multi-objective genetic algorithm, and the optimization results are obtained.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TH122

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