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A dimension-driven adaptive programming for tool-path planning and post-processing in 5-axis form milling of hyperboloidal-type normal circular-arc gears

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Abstract

Hyperboloidal-type normal circular-arc gears (HNCGs) are a latest application of circular-arc tooth profile in the gearing with perpendicular non-intersection axes, and the existing software programs provided by the original equipment manufacturers (OEMs) for specific machine tools cannot yet directly support the manufacture of HNCGs. In this paper, a dimension-driven adaptive programming methodology is proposed to automatically carry out the tool-path planning and generate the G-code file for the form milling of HNCGs on general 5-axis CNC machine tools. Based on the mathematical model of tooth surface, the basic strategy for 5-axis form milling of tooth is presented, an interference-free tool path considering both roughing and finishing operations is planned, and furthermore, the tool-path data is transformed to achieve the machine tool coordinates. To quickly respond to the changes of design and machining parameters, a dimension-driven adaptive programming software package is developed to automatically compute the tool path, conduct the post-processing, and generate the G-codes for 5-axis form milling of HNCGs with different specifications, and example verification is carried out to demonstrate the validity of the proposed method.

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Acknowledgments

All the authors expresses sincere gratitude to Prof. Jian Liu of Dalian university of technology of China.

Funding

This work is funded by National Natural Science Foundation of China (No.51105210) and the Priority Academic Program Development of Jiangsu Higher Education Institutions (No.(2018)192).

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Correspondence to Houjun Chen.

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Yan, G., Chen, H., Zhang, X. et al. A dimension-driven adaptive programming for tool-path planning and post-processing in 5-axis form milling of hyperboloidal-type normal circular-arc gears. Int J Adv Manuf Technol 106, 2735–2746 (2020). https://doi.org/10.1007/s00170-019-04723-w

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  • DOI: https://doi.org/10.1007/s00170-019-04723-w

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