Novel kinematic and geometric views for improving tooth contact analysis of spatial gears

Abstract Tooth contact analysis (TCA) has been widely applied to evaluate the working performance of gear pairs. TCA is often formulated with five unknowns and five independent scalar equations. The solution process involves a global optimization problem with strong nonlinearity and numerical instab...

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Bibliographic Details
Published inJournal of computational design and engineering Vol. 9; no. 3; pp. 1076 - 1096
Main Authors Wang, Shenghui, Zhou, Yuansheng, Chu, Chih-Hsing, Tang, Jinyuan
Format Journal Article
LanguageEnglish
Published Oxford University Press 01.06.2022
한국CDE학회
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Summary:Abstract Tooth contact analysis (TCA) has been widely applied to evaluate the working performance of gear pairs. TCA is often formulated with five unknowns and five independent scalar equations. The solution process involves a global optimization problem with strong nonlinearity and numerical instability, especially for spatial gears with complicated tooth geometries. This study proposes novel kinematic and geometric views of gearing that reveal insights into the meshing process of spatial gears. One unknown can be removed from the position and normal equations of the TCA formulation. To solve the remaining four unknowns, a simplified optimization model with two unknowns is proposed, and the other two unknowns are obtained by using geometric iterative methods or directly from explicit expressions in some cases. A general algorithm was developed to solve the simplified TCA. The test results of both the spiral bevel and face gear drives validate the effectiveness of the proposed method. Graphical Abstract Graphical Abstract
ISSN:2288-5048
2288-4300
2288-5048
DOI:10.1093/jcde/qwac041