DocumentCode :
1669809
Title :
Virtual simulation method based reliability analyses on vehicular driving axle
Author :
Lei, Liangyu ; Yang, Xiufang ; Liu, Jianjun
Author_Institution :
Zhejiang Forestry Univ., Hangzhou, China
fYear :
2010
Firstpage :
4019
Lastpage :
4023
Abstract :
The aim of vehicular reliability experiment is assessing its reliability, measuring its reliability index and serving for vehicular design, manufacturing and development. In this paper, we present product virtual reliability analysis method, which is based on Virtual Reality and Virtual Prototype technology. It is a software platform that integrates various engineering software and simulated algorithms, and it includes three modules: virtual analysis module, reliability analysis module, and visualization module in a virtual environment. Every functional module is depicted. At the same time, we describe Monte Carlo simulation method and perform procedure in virtual reliability analysis. Moreover, taking vehicular driving axle as an application example for the proposed method; we use finite element method to perform stochastic vibration and fatigue reliability analysis on the virtual prototype of driving axle housing, and then perform Monte Carlo reliability test, which verify the product virtual reliability analysis idea. This study has revealed the rapid potential of virtual simulation methods in facilitating higher reliability product in rapid time and at lower cost.
Keywords :
Monte Carlo methods; axles; fatigue; finite element analysis; packaging; production engineering computing; reliability; stochastic processes; vehicles; vibrations; virtual prototyping; virtual reality; Monte Carlo simulation; axle housing; engineering software; fatigue reliability analysis; finite element method; functional module; product virtual reliability analysis; reliability index; stochastic vibration; vehicular design; vehicular driving axle; virtual environment; virtual prototype; virtual reality; virtual simulation; visualization module; Analytical models; Axles; Monte Carlo methods; Reliability engineering; Software reliability; Vehicles; Driving axle; Finite Element analysis (FEA); Monte Carlo Method (MCM); Virtual Prototype (VP); Virtual reliability analyses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5553764
Filename :
5553764
Link To Document :
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