A form-grinding wheel optimization method for helical gears based on a PSO-SVM model

• Published in: Precision engineering Vol. 88; pp. 664 - 673
• Main Authors: Li, Yan, Li, Gang, Wang, Zhonghou, Zhu, Wenmin
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.06.2024
• Subjects: Form-grinding; Helical gears; Optimization; PSO-SVM; Helical gears; PSO-SVM; Optimization; Form-grinding
• ISSN: 0141-6359; 1873-2372
• DOI: 10.1016/j.precisioneng.2024.04.007

A gear form-grinding optimization method is proposed to obtain an optimal profile of a form-grinding wheel by solving a transcendental equation of the contact line between a form-grinding wheel and a helical gear workpiece. Since the equation of the contact line is transcendental, the relationship between the installation angle of the form-grinding wheel and the shape of the contact line cannot be represented by explicit functions, which makes it difficult to obtain the optimal profile of the form-grinding wheel. An optimization method of the contact line between the form-grinding wheel and the gear is proposed using three evaluation parameters that are the overrun, the shift, and the offset. Some gear form-grinding performances, such as machining stroke, tooth deviation, and grinding chatter, can be quantitatively described using those evaluation parameters. Further, a method for optimizing evaluation parameters is proposed, which uses a particle swarm optimization-support vector machine (PSO-SVM) model with the advantage of small-sample robustness to solve evaluation parameters. The PSO-SVM model is trained under the condition of different installation angles of the form-grinding wheel as the input and the evaluation function as the output. The R-squared value of the overrun is 0.986 that vilidate the high accuracy of the PSO-SVM model. Gear form-grinding test results show the proposed method can effectively improve grinding accuracy. •Effects of the contact line shape on gear form-grinding are studied.•A particle swarm optimization-support vector machine (PSO-SVM) model is developed.•A form-grinding wheel optimization method using the PSO-SVM model is developed.•The optimization method can improve accuracy of gear form-grinding.•Effectiveness of the optimization method is verified by form-grinding tests.