Measurement and modeling methods of grinding-induced residual stress distribution of gear tooth flank

The surface residual stress significantly influences the performance of gears. The residual stresses of different grinding positions on the gear surface are different. Focusing on the gear profile grinding process, the residual stress distribution of gear tooth flank is investigated. To measure the...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2021-08, Vol.115 (11-12), p.3933-3944
Main Authors: Xiao, Yuliang, Wang, Shilong, Ma, Chi, Wang, Sibao, Yi, Lili, Xia, Changjiu, Dong, Jianpeng
Format: Article
Language:English
Subjects:
CAE) and Design
Computer-Aided Engineering (CAD
Cutting parameters
Engineering
Gear grinding
Gear teeth
Grinding
Industrial and Production Engineering
Mathematical models
Measurement methods
Mechanical Engineering
Media Management
Original Article
Profile grinding
Residual stress
Stress concentration
Stress distribution
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Summary:The surface residual stress significantly influences the performance of gears. The residual stresses of different grinding positions on the gear surface are different. Focusing on the gear profile grinding process, the residual stress distribution of gear tooth flank is investigated. To measure the residual stress of gear tooth accurately, a specific measurement method, including adjustment angle calculation model and alignment fixture, is carried out. The measured results with the proposed method are much better, and differences of residual stresses among measured positions are discussed. Then, considering the variation of chip geometry, a gear grinding model is proposed to analyze the residual stress distribution of gear tooth flank. The changing trend of the section area of the cutting chip calculated by the proposed grinding model matches the changing trend of measured results of the residual stress distribution. Finally, experiments are conducted, and the grinding model is verified from the perspective of cutting parameters.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-021-07392-w