Towards Understanding Subsurface Characteristics in Burn Process of Gear Profile Grinding

Author:

Wen Jun12,Tang Jinyuan12,Shao Wen12,Zhou Weihua3,Huang Weiwei12

Affiliation:

1. State Key Laboratory for High Performance Complex Manufacturing, Central South University, Changsha 410083, China

2. College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China

3. Powder Metallurgy Research Institute, Central South University, Changsha 410083, China

Abstract

In gear profile grinding, the grinding burn will greatly influence the anti-fatigue performance of gears. However, the influence of microstructure change caused by grinding burn on gear surface integrity is still unclear. In this paper, full-factor experiments of gear profile grinding are conducted and the grinding temperature is measured during the experiments. Furthermore, the tooth surface integrity including microstructure, residual stress, microhardness, and surface morphology is characterized. The relationship between grinding parameters, grinding burns and subsurface layer properties is analyzed by systematical test results. Radial grinding depths of more than 20 μm matched with wheel speeds below 30 m/s will result in severe grinding burns. The effect of grinding burns on the grain state mainly results in the breakdown of high strength martensite and the formation of inhomogeneous secondary tempered sorbite. The recovery and recrystallization of the microstructure of the tooth subsurface layer after grinding burns is the root cause of the substantial reduction in compressive residual stress and nano-hardness. The occurrence of grinding burns is mainly due to the unreasonable matching of process parameters rather than being influenced by a single grinding parameter alone. The risk of burn can be significantly reduced at greater wheel speeds and lower radial grinding depth. This study presents an insight into the mechanism of the effect of gear profile grinding burns on the surface integrity of the tooth flank.

Funder

National Natural Science Foundation of China

National Key R&D Program of China

National Science and Technology Major Project

Publisher

MDPI AG

Subject

General Materials Science

Reference38 articles.

1. Polymer gear contact fatigue reliability evaluation with small data set based on machine learning;Liu;J. Comput. Des. Eng.,2022

2. Spur Gear Tooth Topology Optimization: Finding Optimal Shell Thickness for Spur Gear Tooth produced using Additive Manufacturing;Muminovic;TEM J.-Technol. Educ. Manag. Inform.,2019

3. Churning power losses of a gearbox with spiral bevel geared transmission;Hu;Tribol. Int.,2019

4. Simulation on coupling effects between surface wear and fatigue in spur gear;Yan;Eng. Fail. Anal.,2022

5. Condition monitoring of worm gear wear and wear particle analysis of industrial worm gear sets;Raadnui;Wear,2021

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3