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Analysis and optimization of gear skiving parameters regarding interference and theoretical machining deviation based on chaos map

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A Correction to this article was published on 20 October 2021

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Abstract

The gear skiving has gained more and more attention from researchers because of high efficiency and high precision. However, if skiving parameters are not properly selected in the actual machining process, the interference between the flank face of the cutter and the machined tooth surface would occur, and the theoretical machining deviation would obviously affect the machining accuracy of the workpiece. In view of this, the influences of skiving parameters on interference and theoretical machining deviation are analyzed by means of edge-scanning surface. Then, a parameter optimization model is built by taking the minimum theoretical machining deviation as optimization objective, and taking machining efficiency as well as no-interference as the constraints. According to the characteristics of this model, an algorithm is proposed based on chaos map. A machining example shows that the algorithm is feasible and effective.

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Funding

This work was supported by the National Natural Science Foundation of China (No. 51175376) and Tianjin Jingcheng Machine Tool Co. LTD (No. HX200134).

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Peng Wang proposed the detailed method and carried out the formula derivation and theoretical analysis. Fucong Liu was responsible for the experimental work and part of data analysis. Jia Li proposed the research idea and technical scheme. Peng Wang was responsible for completing the article. Fucong Liu and Jia Li were involved in the discussion and significantly contributed to making the final draft of the article. All the authors read and approved the final manuscript.

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Correspondence to Peng Wang.

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Wang, P., Liu, F. & Li, J. Analysis and optimization of gear skiving parameters regarding interference and theoretical machining deviation based on chaos map. Int J Adv Manuf Technol 112, 2161–2175 (2021). https://doi.org/10.1007/s00170-020-06562-6

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  • DOI: https://doi.org/10.1007/s00170-020-06562-6

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