Emerging Science Journal
Vol 4, No 5 (2020): October

Lifetime Test of Tracked Vehicle Torsion Bars using Monte Carlo Method

Jan Furch (University of Defence, Kounicova 65, Brno, 66210,)
Quy Hung Nguyen (Institute of Mechanical Engineering, Dong Quan 42, Hanoi, 122100,)



Article Info

Publish Date
01 Oct 2020

Abstract

The article deals with the service life of torsion bars in tracked vehicles. The aim of the article is to show the suitability of accelerated tests and modelling for determining the service life of torsion bars, which takes many years in real operation. The design of a test bench for accelerated tests is presented together with limiting conditions, which were afterwards verified. Subsequently, a virtual model of the torsion bar of a tracked vehicle was created with the help of finite elements. Dynamic modelling was performed by MSC Adams software with a module using finite elements. Furthermore, the article shows the possibility of using the Monte Carlo method to determine the service life of torsion bars of tracked vehicles. The Monte Carlo utility of Accelerated Life Testing Analysis (ALTA) software is used to obtain failure data at specified test stress levels. Using the Monte Carlo simulation, one data set is generated containing values that are arranged in dependence on the specific lifetime distribution of the Weibull distribution. Finally, a comparison of the experiment with the calculated values is performed. The results obtained can be used to compile an accelerated test plan. This modelling design saves a lot of money and time to determine the life of the torsion bar in tracked vehicles.

Copyrights © 2020






Journal Info

Abbrev

ESJ

Publisher

Subject

Environmental Science

Description

Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are ...