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基于灵敏度分析的木薯精播机机架结构优化设计
引用本文:陈林涛,牟向伟,薛俊祥,蓝莹,彭柱菁,梁攀程.基于灵敏度分析的木薯精播机机架结构优化设计[J].农业工程,2022,12(4).
作者姓名:陈林涛  牟向伟  薛俊祥  蓝莹  彭柱菁  梁攀程
作者单位:广西师范大学,广西师范大学,广西师范大学,广西师范大学,广西师范大学,广西师范大学
摘    要:木薯生产机械化程度低是制约我国木薯产业发展的瓶颈之一,研究高性能的木薯精播机对于促进木薯产业稳定发展具有重要推动作用。木薯精播机结构组成复杂,为提高工作性能,机架必须具有良好的结构与力学性能。本文以课题组研制的双行木薯播种机均匀精量自动排种装置的机架为研究对象,采用UG联合ANSYS软件建立机架的有限元模型,使用ANSYS Work Bench对机架进行静力学分析、约束模态分析以及灵敏度分析。通过模态分析确定优化响应,灵敏度分析确定设计变量,模型建立确定优化目标,多目标优化设计数学模型计算得到6组非劣解。在所得6组方案和初始方案中,基于熵权的模糊物元模型抉择出最优的机架结构方案。双行木薯播种机均匀精量自动排种装置机架优化前后对比分析表明,第一阶模态频率提升3.60%,机架质量减轻8.76%,最大变形减小5.08%,较好的达到了机架轻量化结构优化目的,研究结果可为木薯精播机的设计提供参考。

关 键 词:农业工程  木薯  机械化  种植  灵敏度分析  优化目标
收稿时间:2021/9/7 0:00:00
修稿时间:2021/11/4 0:00:00

Optimization design of frame structure of cassava precision planter based on sensitivity analysis
chen lin tao,Mou Xiangwei,Xue Junxiang,Lan Ying,Peng Zhujing and Liang Pancheng.Optimization design of frame structure of cassava precision planter based on sensitivity analysis[J].Agricultural Engineering,2022,12(4).
Authors:chen lin tao  Mou Xiangwei  Xue Junxiang  Lan Ying  Peng Zhujing and Liang Pancheng
Institution:Guangxi Normal University,Guangxi Normal University,Guangxi Normal University,Guangxi Normal University,Guangxi Normal University,Guangxi Normal University
Abstract:The low mechanization of cassava production is one of the bottlenecks restricting the development of cassava industry in China. The research on high-performance cassava precision planter plays an important role in promoting the stable development of cassava industry. The structure of cassava precision planter is complex. In order to improve its working performance, the frame must have good structure and mechanical properties. In this paper, the frame of the uniform precision automatic seed metering device of the double row cassava planter developed by the research group is taken as the research object, the finite element model of the frame is established by UG and ANSYS software, and the static finite element analysis, constrained modal analysis and sensitivity analysis are carried out by ANSYS work bench. The optimization response is determined by modal analysis, the design variables are determined by sensitivity analysis, the optimization objectives are determined by model establishment, and six groups of non inferior solutions are obtained by multi-objective optimization design mathematical model calculation. In the six groups of schemes and initial schemes, the optimal frame structure scheme is selected based on the fuzzy matter-element model of entropy weight. The comparative analysis before and after the frame optimization of the uniform precision automatic seed metering device of double row cassava planter shows that the first modal frequency is increased by 3.60%, the frame mass is reduced by 8.76%, and the maximum deformation is reduced by 5.08%, which better achieves the purpose of frame lightweight structure optimization. This study can provide a reference for the design and research of cassava precision planter.
Keywords:agricultural engineering  cassava  mechanization  plant  sensitivity analysis  optimization objectives
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