An Ease-Off Based Tooth Contact Analysis Method for Measured Face Gear Flanks

To rapidly evaluate the meshing performance of manufactured face-gear drives, this study proposes an efficiency-optimized tooth contact analysis (TCA) method for measured gear flanks based on Ease-off surface. Initially, mathematical models of the pinion and face-gear tooth flanks are established. A TCA framework leveraging conjugate relationships and Ease-off surfaces is then developed. Subsequently, measured flank data are fitted into continuous error surfaces through Bicubic spline fitting, enabling full-tooth flank error mapping. These error distributions are integrated into the Ease-off surface model to simulate realistic meshing behavior, extracting critical performance metrics including contact paths and transmission errors. Validation through computational TCA, finite element analysis (FEA), and rolling tests confirm the method’s accuracy and computational efficiency.

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Publication Details

Journal
Applied Sciences
Published
2025-08-26
DOI
https://doi.org/10.3390/app15179336
Citations
1
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.71

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article

An Ease-Off Based Tooth Contact Analysis Method for Measured Face Gear Flanks

Jinyuan Tang, Yuansheng Zhou, Zhongwei Tang
1 citations
Applied Sciences
Gear and Bearing Dynamics Analysis
0.71
article

An Ease-Off Based Tooth Contact Analysis Method for Measured Face Gear Flanks

Jinyuan Tang, Yuansheng Zhou, Zhongwei Tang
article en
1 citations

Abstract

To rapidly evaluate the meshing performance of manufactured face-gear drives, this study proposes an efficiency-optimized tooth contact analysis (TCA) method for measured gear flanks based on Ease-off surface. Initially, mathematical models of the pinion and face-gear tooth flanks are established. A TCA framework leveraging conjugate relationships and Ease-off surfaces is then developed. Subsequently, measured flank data are fitted into continuous error surfaces through Bicubic spline fitting, enabling full-tooth flank error mapping. These error distributions are integrated into the Ease-off surface model to simulate realistic meshing behavior, extracting critical performance metrics including contact paths and transmission errors. Validation through computational TCA, finite element analysis (FEA), and rolling tests confirm the method’s accuracy and computational efficiency.

Applied SciencesVol. 15(17)
Central South University (CN)
National Natural Science Foundation of China, Central South University, Fundamental Research Funds for the Central Universities, Fundamental Research Funds for Central Universities of the Central South University
Openalex Percentile: Top 28%
Gear and Bearing Dynamics Analysis
0.71
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