基于ANSYS的轮边减速器六角螺栓静力学分析与优化  

Static Analysis and Optimization of Hexagon Bolt of Wheel-side Reducer Based on ANSYS

在线阅读下载全文

作  者:张燕[1] ZHANG Yan(School of Automobile Engineering,Anhui National Defense Vocational College,Lu’an,Anhui 237011,China)

机构地区:[1]安徽国防科技职业学院汽车技术学院,安徽六安237011

出  处:《沧州师范学院学报》2025年第1期53-56,106,共5页Journal of Cangzhou Normal University

基  金:2024年度安徽省高校科研项目自然科学项目“基于模态及谐响应分析的轮边减速器动态特性研究与改进”,编号:2024AH050196;2024年度校级“装备制造联合创新实践团队”科研平台项目,编号:2024GFKYPT005;2023年度安徽省职业与成人教育研究项目“‘九维三步’路径下实训课程思政教学研究”,编号:AZCJ2023024。

摘  要:六角螺栓作为轮边减速器与电动叉车车轮之间的重要连接件,承受着预紧载荷及较大的外载荷,极易变形或断裂,导致减速器工作失效。采用Pro/E软件创建了六角螺栓的三维模型,将三维模型导入ANSYS软件进行静力学计算,随后针对计算结果进行分析,并对不满足力学性能使用要求的工况展开优化。对比更换螺栓材料、增加调整垫、优化螺栓结构三种不同的优化方案,发现优化螺栓结构可以彻底解决六角螺栓变形及断裂失效的问题。对轮边减速器六角螺栓进行ANSYS静力学分析及优化,既可以缩短六角螺栓的设计周期,降低生产成本,又能够延长减速器的工作寿命,提升电动叉车的工作稳定性。Hexagonal bolts serve as critical connectors between the wheel hub reducer and electric forklift wheels.They bear pre-tightening loads and significant external loads,making them highly susceptible to deformation or fracture,which can lead to reducer failure.A 3D model of the hexagonal bolt was created using Pro/E software and the model wasimported into ANSYS softwarefor static analysis.An analysis was then conducted based on the results,and optimal solutions were developed for operating conditions that did not meet mechanical performance requirements.By comparing three optimization approaches:changing bolt materials,adding adjustment pads,and optimizing bolt structures,it was found that optimizing the bolt structure can completely resolve deformation and fracture failures of the hexagonal bolts.Conducting static analysis and optimization of wheel hub reducer hexagonal bolts using ANSYS can shorten the bolt design cycle,reduce production costs,extend the reducer’s service life,and enhance the operational stability of electric forklifts.

关 键 词:ANSYS 静力学分析 轮边减速器 六角螺栓 

分 类 号:TH113.2[机械工程—机械设计及理论]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象