Statistical distribution of crankshaft fatigue: Experiment and modeling
Statistical distribution of crankshaft fatigue: Experiment and modeling
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曲轴疲劳的统计分布：实验和建模
DOI：
10.1016/j.engfailanal.2014.04.015
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发表时间：
2014-07-01
影响因子：
4
通讯作者：
Li, Jianfeng
中科院分区：
文献类型：
--
作者：
Chen, Xiaoping;Yu, Xiaoli;Li, Jianfeng
曲轴疲劳问题一直是内燃机中令人头痛和常见的现象，引起了各方的努力，特别是包括基础疲劳实验数据。本文采用合理的实验方法，在自行设计的实验平台上，模拟真实曲轴的工作状态，对曲轴的疲劳现象进行了研究。然后，根据实验数据，对8种常用的假设分布进行了统计回归分析。所选统计模型的拟合效应程度单独评估。结果表明，三参数威布尔分布模型拟合效果最好，可作为今后分析的基础模型。该研究为更好地理解曲轴疲劳现象的机理提供了坚实的基础。(c)2014爱思唯尔有限公司版权所有。
Crankshaft fatigue problem has long been a headache and frequent phenomenon in combustion engine which attracts various efforts especially including fundamental fatigue experimental data. In this paper, the rational experimental method is employed to study the crankshaft fatigue phenomenon based on a customized experiment platform, mimicking the real-world crankshaft working condition physically. Then, based on the experiment data, the statistical regression analysis of eight commonly used hypothesis distributions is conducted. The degrees of fitting effects of the chosen statistical model are evaluated individually. Results show that the three-parameter Weibull distribution model fits the data best which may be used as the fundamental model in future analysis. This study provides a solid foundation for better understanding the mechanism of crankshaft fatigue phenomenon. (c) 2014 Elsevier Ltd. All rights reserved.