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Knowing When Enough Is Enough Predicting Impending Bending Failure in a Test Environment

机译:知道何时足够足以预测测试环境中即将发生的弯曲失败

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Detection of impending gear tooth failure is of interest to every entity that utilizes geared transmissions. However, it is of particular significance at the Gear Research Institute (GRI), where sponsored efforts are conducted to establish gear material endurance limits, utilizing gear fatigue tests. Consequently, knowing when a gear is about to fail in each and every test, in a consistent manner, is essential for producing reliable and useful data for the gear industry. To accomplish this end, researchers at GRI and the Drivetrain Technology Center (DTC) at ARL/Penn State have developed a metric called the Average Log Ratio (ALR), described further in the following article. This ALR accurately predicts impending bending failure and is being further developed to predict contact fatigue failures.
机译:使用齿轮传动的每个实体都对检测即将发生的齿轮齿故障感兴趣。然而,这对齿轮研究所(GRI)尤其重要,该研究所通过齿轮疲劳测试,致力于建立齿轮材料的耐久性极限。因此,以一致的方式知道每次测试中的齿轮何时将失效,对于为齿轮行业产生可靠且有用的数据至关重要。为了实现这一目标,GRI和ARL / Penn州的传动系统技术中心(DTC)的研究人员开发了一种称为“平均对数比(ALR)”的度量标准,下文将对此进行进一步描述。该ALR可以准确预测即将发生的弯曲故障,并且正在进一步开发以预测接触疲劳故障。

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