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Rolling Contact Fatigue Life Test Design and Result Interpretation Methods Maintaining Compatibility of Efficiency and Reliability

机译:滚动接触疲劳寿命测试设计和结果解释方法保持效率和可靠性的兼容性

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In this report, several methods for both rolling contact fatigue (RCF) life test design and result interpretation are introduced. These methods generate results using random numbers followed by Weibull distribution (i.e., Weibull random number). The first method illustrates a relationship between the minimum number of test specimens and the suspension time in a fixed time test required at L_10 and L_50 lives with an arbitrary reliability. This relationship is useful to maintain the qualitative reliability and avoid excessive quantitative testing. The second method can clarify a relationship between the given number of test specimens and resultant significant differences at L_10 and L_50 lives in an accelerated test with an arbitrary reliability. This relationship is also useful to estimate the appropriate number of test specimens based on statistical logic. Of note, calculations employing the Weibull random number can apply to not only RCF life test design but also estimations of the test results. The third method enables the determination of a range of L_10 and L_50 lives with an arbitrary reliability even if the number of test specimens is too small to estimate L_10 or L_50 lives from the Weibull plots. The fourth method can determine significant differences of L_10 and L_50 lives between any two given lots and allow a quantitative estimation of the minimum difference between their lives from data obtained by experiments. These methods provide techniques that are easier to understand as compared to the recent mathematical model, and they show enough flexibility to apply to almost all types of testing. These systems will therefore eliminate the need for qualified experiences related to the statistical design and result interpretation for RCF life testing.
机译:在本报告中,介绍了滚动接触疲劳(RCF)寿命测试设计和结果解释的几种方法。这些方法使用随机数字生成结果,然后是Weibull分布(即,Weibull随机数)。第一方法示出了在L_10和L_50在L_10和L_50的固定时间测试中具有任意可靠性的固定时间测试中的最小测试样本和悬架时间之间的关系。这种关系对于保持定性可靠性并避免过度定量测试是有用的。第二种方法可以阐明给定数量的试样数与L_10和L_50所产生的显着差异,在加速测试中,具有任意可靠性。这种关系对于估计基于统计逻辑的适当数量的试样也是有用的。注意,使用Weibull随机数的计算可以不仅适用于RCF寿命测试设计,还可以应用于测试结果的估算。第三种方法使得确定L_10的范围和L_50的范围,即使测试样品的数量太小而无法从Weibull图中估计L_10或L_50。第四种方法可以确定任何两个给定批次之间的L_10和L_50的显着差异,并允许通过实验获得的数据定量估计其生长之间的最小差异。这些方法提供与最近的数学模型相比更容易理解的技术,并且它们显示出足够的灵活性来适用于几乎所有类型的测试。因此,这些系统将消除与统计设计相关的合格经验,并对RCF寿命测试的解释。

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