Mechanical strength study of Off-Road vehicle chassis body materials

Dubey, Kaushalendra Kumar; Pathak, B; Singh, B K; Rathore, P; Yadav, Shourya Raghav Singh

doi:10.1016/j.matpr.2021.04.147

Cited by 8 publications

(2 citation statements)

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“…The number of original test data of samples was so small that the data sample size needed to be expanded. The three-parameter Weibull distribution function was used to describe the fatigue life condition of the halfaxles, and the probability density function expression was shown in equation (1). Where N i was the fatigue life of the half-axles, b was the shape parameter, N a was the scale parameter, and N 0 was the location parameter.…”

Section: Fatigue Endurance Bench Tests For Automotive Half-axlesmentioning

confidence: 99%

“…There are many kinds of automotive chassis parts with complex structures so that if wear, fracture, or other problems occur, the operation of the entire chassis structure will be affected, then the whole vehicle system cannot work normally and lead to failure, even cause major traffic accidents and casualties. 1 Therefore, it is essential to predict the fatigue reliability of automotive chassis parts.…”

Section: Introductionmentioning

confidence: 99%

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Research on parameter estimation methods of fatigue life distribution model of automotive chassis parts

Liu

et al. 2022

Advances in Mechanical Engineering

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The reliability assessment of fatigue life of automotive chassis parts is an important part of automobile safety. The fatigue endurance tests of automotive half-axles were carried out. The three-parameter Weibull distribution model was established according to the fatigue life distribution of samples. Using the right approximation method and the genetic algorithm to estimate three parameters of the distribution model and a comparative analysis was made. The results show that the initial life unreliability estimated by the median rank in the right approximation method had a large deviation from the true value, which may cause the iterative algorithm fall into the local optimal solution and affect the estimation accuracy. Therefore, a new parameter estimation method based on dual genetic algorithm was proposed. The newly proposed dual genetic algorithm not only improves the iteration speed, but also improves the accuracy of parameter estimation, which provides new ideas and theoretical basis for reliability assessment of mechanical components.

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Section: Fatigue Endurance Bench Tests For Automotive Half-axlesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%