Study on the relation between surface integrity and contact fatigue of carburized gears

疲劳极限 渗碳 喷丸 表面粗糙度 微动 材料科学 表面完整性 研磨 喷丸 硬度 表面光洁度 接触力学 复合材料 冶金 结构工程 工程类 残余应力 有限元法
作者
Xun Zhang,Peitang Wei,Robert G. Parker,Guoliang Liu,Huaiju Liu,Shaojie Wu
出处
期刊:International Journal of Fatigue [Elsevier]
卷期号:165: 107203-107203 被引量:14
标识
DOI:10.1016/j.ijfatigue.2022.107203
摘要

Surface integrity is critical for gear contact fatigue performance. The relation between gear surface integrity and contact fatigue remains unclear, which is a challenge for gear anti-fatigue design. This study investigates the relation between surface integrity and contact fatigue of 18CrNiMo7-6 carburized gears through fatigue experiments and data-driven modeling. A series of gear contact fatigue tests, with approximately 110 × 106 running cycles in total, has been conducted. P-N curves and fatigue limits of the tested gears are investigated for four typical manufacturing processes: carburizing and grinding, shot peening, barrel finishing, and barrel finishing after shot peening. The influence of different surface integrity components on contact fatigue is explored with a Pearson correlation coefficient analysis and a random forest algorithm. Formulae of gear contact fatigue life and fatigue limit considering surface integrity are proposed. Results show that a high surface integrity state with surface hardness of 686.5 HV, maximum compressive residual stress of −1162 MPa, and surface roughness Sa of 0.36 μm, exhibits the highest gear contact fatigue limit, which is 15.1% higher than the carburizing and grinding state, indicating the benefits of improving surface integrity. For both the gear contact fatigue life and fatigue limit, the most significant surface integrity components are surface hardness, maximum compressive residual stress, and surface roughness. The proposed formulae considering surface integrity illustrate reasonable prediction accuracy, with 1.5 times dispersion band for the predicted fatigue life and a maximum relative error of 2.1% for the predicted fatigue limit.
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