摘要
为降低除草机车架质量和整机油耗,提高作业性能,采用三维建模软件Autodesk Inventor对其进行参数化建模,并导入ANSYS Workbench中。依据不同的工况对其进行有限元静力学分析,并设计了车架应力试验,用试验结果检验仿真结果的正确性。基于静力学有限元分析结果,采用拓扑优化与尺寸优化的两级优化方案对车架进行轻量化设计,并提出了车架结构的改进方案。研究结果显示:两种工况均满足强度与刚度要求;仿真结果与试验结果基本吻合,验证了有限元模型的合理性;通过对车架的轻量化设计,使车架总质量降低了33.89%,实现了轻量化目标;根据轻量化结果对车架进行结构改进,改进后的车架应力分布得到改善,车架最大应力有所降低。
In order to improve the operation performance of the mower by reducing the weight of the frame and the fuel consumption,it is necessary to carry out digital analysis in the following steps： parametric modeling design of mower frame with 3 D modeling software Autodesk Inventor; importing into ANSYS Workbench subsequently; and meshing,constraints adding and loading. The finite element static analysis was conducted on the frame according to the different working conditions. In order to ensure the accuracy of the finite element model,the frame stress experiment was designed,and the correctness of simulated results were assessed by test results. Based on the finite element static analysis results,the two-stage optimization method of topology optimization and size optimization were used to design the lightweight structure of the frame,and the improvement scheme of the frame structure was put forward. The results showed that both conditions met the strength and stiffness requirements; and there was a certain margin,and the experimental results were in good agreement with the simulated results,which verified the rationality of the finite element model. Through the lightweight design of the frame,the weight of the frame was reduced by 33.89%,achieving the lightweight target. The frame structure was improved according to the lightweight results,leading to the improvement of the stress distribution and reduction of the maximum stress value of the frame. The results of this study can provide reference for the design of mower,and have certain reference value for the development of newproducts in related agricultural enterprises.
出处
《林业工程学报》
北大核心
2017年第6期103-109,共7页
Journal of Forestry Engineering
基金
湖南省科技计划重点研发项目(2016NK2142)
湖南省高校科技创新团队资助项目(2014207)
