Gear Tooth Root Bending Strength Estimation under the Assumption of Fatigue Limit Existence

Luca Bonaiti, Carlo Gorla
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Abstract

Being able to properly predict gear failure is a key aspect to achieve a reliable light-weight gearbox. Among the several gear failures, tooth root bending fatigue is considered as the most dangerous one because it implies the stoppage of the whole gearbox. In order to characterize a gear for this phenomena, Single Tooth Bending Fatigue (STBF) tests are the most performed ones. However, as in STBF test THERE IS no sliding/rolling contact and as the specimens are teeth rather than gears, some differences occur between the test conditions and those of the real case. This paper deals with the statistical ones that is the estimation of the gear SN curve starting from the teeth one. The teeth SN curve has been estimated by means of a statistical model developed considering Murakami’s idea of nonpropagating crack. Then, a methodology based on statistic of extreme is adopted for the purpose of estimating the gear SN curve.

Abstract Image

疲劳极限存在假设下齿轮齿根弯曲强度估算
能够正确预测齿轮故障是实现可靠的轻量化变速箱的关键方面。在齿轮的几种失效中,齿根弯曲疲劳被认为是最危险的失效,因为它意味着整个齿轮箱的停止。为了对这种现象进行表征,单齿弯曲疲劳(STBF)试验是最常用的试验方法。然而,由于在STBF试验中没有滑动/滚动接触,而且试样是齿而不是齿轮,因此在试验条件和实际情况之间会出现一些差异。本文研究了从齿形曲线出发估计齿轮SN曲线的统计方法。用考虑村上非扩展裂纹思想的统计模型估计了齿的SN曲线。然后,采用基于极值统计的方法对齿轮SN曲线进行估计。
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CiteScore
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