商用车新型鼓式制动器结构优化设计  被引量:3

Optimized Design of New Drum Brake Structure for Commercial Vehicles

在线阅读下载全文

作  者:王占礼[1] 沐阳 徐洪亮 国风 WANG Zhan-li;MU Yang;XU Hong-liang;GUO Feng(School of Mechanical and Electrical Engineering,Changchun University of Technology,Jilin Changchun 130012,China;Changchun FAWSN TBK Co.,Ltd.,Jilin Changchun 130000,China)

机构地区:[1]长春工业大学机电工程学院,吉林长春130012 [2]长春一汽富晟特必克制动有限公司,吉林长春130000

出  处:《机械设计与制造》2023年第2期233-239,共7页Machinery Design & Manufacture

基  金:长春市科学技术局—商用车楔式制动器总成关键技术研究项目(18DY013);吉林省发展和改革委员会产业技术研究与开发项目—商用车楔式制动器总成关键技术研究与开发(2019C037-2)。

摘  要:制动器是商用车中的重要安全保障部件。为提高运输车辆的制动安全性,采用领从蹄式结构,设计了一种搭载冲压焊接式制动蹄的新型楔式鼓式制动器。以制动效能与制动鼓体积为目标,对新型鼓式制动器建立优化模型,基于多目标粒子群算法对新型鼓式制动器结构进行优化。引入线性递减权值法,保证算法的准确性,运用惩罚函数法处理算法中的约束问题。基于仿真分析与台架试验相结合的复合分析法,对新型鼓式制动器进行有限元分析与台架试验。结果表明,设计的新型楔式鼓式制动器结构满足设计要求,并优于同规格凸轮式鼓式制动器。Brake is an important safety guarantee component in commercial vehicles.In order to improve the braking safety of transportation vehicles,a new wedge drum brake with stamped-welded brake shoes is designed,it adopts the structure of leading and subordinate shoe brake.Aiming at the braking efficiency and drum volume,the optimization model of the new drum brake is established,and the structure of the new drum brake is optimized based on multi-objective particle swarm optimization algorithm.In order to ensure the accuracy of the algorithm,the linear decreasing weight method is introduced,and using penalty function method to deal with the constraint problem in the algorithm.Based on the composite analysis method of simulation analysis and bench test,the finite element analysis and bench test of the new drum brake are carried out.The results show that the structure of the new wedge drum brake meets the design requirements and is better than the cam drum brake of the same specification.

关 键 词:楔式制动器 多目标粒子群算法 有限元分析 台架试验 

分 类 号:TH16[机械工程—机械制造及自动化] U463.511[机械工程—车辆工程]

 

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