农机化研究Issue(5)：79-82,4.
移栽机主梁的有限元分析与优化设计--基于Ansys Workbench
The Finite Element Analysis and Optimum Design on Main Girder of Transplanting Machine Based on Ansys Workbench
摘要
Abstract
At present , the design of the transplanting machine almost is designed by theoretical method ,which caused the machine too heavy , and it need be driven by much more powerful .At the same time , farmers need to spend more money to buy machine and fuel .So it will be hindered the promotion use of transplanting machine ,and the method will optimize structure parameters of the machine in order to reduce the quality of the whole machine .Based on the transplanting ma-chine girder as an example to to discuss a kind of optimization methods and steps , the finite element model of main girder was established basing on Ansys Workbench software .Boundary conditions were determined such as load and constraint under the condition of transplanting machine being dragged up .The modal was used to make structure static analysis , and its material is Q235 .The dimensions of square steel were measured the width B =100 mm and thickness t =5 mm accord-ing to the national standard and the theoretical calculation .Through the analysis of main girder , the deflection and equiva-lent stress distribution nephogram is calculated .Then application the method of multi-objective optimization design opti-mize structure parameters of the main girder under the Workbench , and the optimized structure parameters of the main girder were determined .And the consequence not only reduces the quality of the whole machine , but also lessens the tractor drawbar pull .It meets the requirements of the energy-saving production , reducing the cost of production and use of transplanting machine .So it will be in favor of the promotion use of transplanting machine .关键词
移栽机/主梁/有限元分析/优化设计Key words
transplanting machine/main girder/finite element analysis/optimum design分类
农业科技引用本文复制引用
张小志,李旭英,田阳,迟明路..移栽机主梁的有限元分析与优化设计--基于Ansys Workbench[J].农机化研究,2014,(5):79-82,4.基金项目
内蒙古自然科学基金项目（2011MS0724）；内蒙古农业大学科技创新团队项目 （）
