正齿轮不同齿根裂纹特性的模态分析:有限元分析(FEA)仿真

Thaer M. I. Syam, Yousif Badri, Sadok Sassi, J. Renno
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引用次数: 0

摘要

齿轮故障被认为是变速箱中主要的报警和不良事件。裂纹通常是由循环荷载引起的疲劳引起的。由于齿圆角半径小,疲劳应力集中在齿根。这导致渐进式损坏齿轮的牙齿,导致牙齿失效,因此,一个损坏的齿轮。这项工作显示了一个数字框架,以识别和量化裂纹的存在,在正齿轮齿根。利用ANSYS软件进行有限元仿真,通过模态分析对问题进行了数值分析。有九种齿轮的齿上有不同的裂纹;这些裂缝因其数量(单个或多个)、裂缝长度百分比(CLP %)和位置而异。采用有限元法对这9种情况进行了模拟,预测了齿的弯曲固有频率,并通过观察齿的弯曲固有频率和变形水平来研究裂纹变化的影响。结果表明,随着CLP%的增加,齿弯曲固有频率降低。此外,根据固有频率和齿轮质量计算了齿轮刚度,结果表明,随着CLP%的增加,刚度减小,而变形水平随着CLP%的增加而增大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modal analysis of spur gears for varied teeth root cracks characteristics: finite element analysis (FEA) simulations
Gear failure is considered the main alarming and undesirable event in gearboxes. Usually, cracks happen by fatigue caused due to cyclic loading. Fatigue stress is focused on the teeth root because of the small tooth fillet radius. This causes progressive damage to gear teeth which causes teeth failure, and hence, a damaged gear. This work shows a numerical framework to identify and quantify cracks' existence at the teeth root of spur gears. The problem is numerically analysed through finite element-based simulation with ANSYS by conducting a modal analysis. There are nine cases of gears with different cracks on their tooth; these cracks are varied by their number (single or multiple), Crack Length Percentage (CLP %), and location. The FEA is used to simulate all nine cases to predict the bending natural frequency of teeth and to investigate the effects of the variation of the crack by looking at the natural frequency of the teeth bending as well as the deformation level. Results revealed that the teeth bending natural frequency decreases as the CLP% increases. In addition, the gear stiffness is calculated based on the natural frequency and gear’s mass and it is indicated that the stiffness decreases as the CLP% increases, while the deformation level increase with CLP%.
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