基于重载货车缓冲器速度特性的力学模型研究  

Research on Mechanical Model Based on Speed Characteristics of Heavy Duty Truck Buffer

在线阅读下载全文

作  者:王学龙 张军[1] WANG Xuelong;ZHANG Jun(Dalian Jiaotong University,Dalian 116028,China)

机构地区:[1]大连交通大学,辽宁大连116028

出  处:《机械工程师》2024年第2期32-35,共4页Mechanical Engineer

摘  要:针对重载列车缓冲器受到的剧烈纵向冲动和复杂受载情况等问题,通过落锤试验所得的MT-2型缓冲器力学特性,应用Fortran语言开发MT-2型缓冲器力学特性数据库模型程序,构造数据库用以描述缓冲器力学特性与其压缩速度、压缩量之间的定量关系,建立MT-2型缓冲器速度特性力学模型。将压缩量与压缩速度作为输入参数,实现了基于网格化数据库模型对落锤试验的仿真。对阻抗力随压缩量变化的模型曲线与试验曲线进行对比分析可知,模型曲线与试验曲线基本一致。证明了将缓冲器落锤试验数据根据阻抗、压缩量及压缩速度的定量关系,归纳建立缓冲器阻抗特性数据库的方法是可行的。依据数据库建立的二维曲面形式的缓冲器模型能够较好地反映落锤试验特性,可以有效地模拟缓冲器的动态特性。Aiming at the problems of violent longitudinal impulse and complex loading situation of buffer of heavy train,based on the mechanical properties of MT-2 buffer obtained by drop weight test,the database model program of MT-2 buffer mechanical properties is developed by using Fortran language,and the database is constructed to describe the quantitative relationship between the mechanical properties of the buffer and its compression speed and compression amount,and the mechanical model of MT-2 buffer speed characteristics is established.With the compression amount and compression speed as input parameters,the simulation of drop weight test based on grid database model is realized.By comparing and analyzing the model curve and the test curve,the model curve and the test curve are basically the same.It is proved that the method of summing up the buffer impedance database based on the quantitative relationship between impedance,compression and compression speed from the buffer drop weight test data is feasible.The buffer model in the form of two-dimensional surface based on the database can reflect the drop weight test characteristics well and simulate the dynamic characteristics of the buffer effectively.

关 键 词:MT-2型缓冲器 落锤试验 建模 仿真 

分 类 号:TB24[一般工业技术—工程设计测绘]

 

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