Efficient and accurate worm grinding of spur face gears according to an advanced geometrical analysis and a closed-loop manufacturing process

Yuan-sheng Zhou , Zhong-wei Tang , Xian-lin Shi , Jin-yuan Tang , Zheng-min-qing Li

Journal of Central South University ›› 2022, Vol. 29 ›› Issue (1) : 1 -13.

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Journal of Central South University ›› 2022, Vol. 29 ›› Issue (1) : 1 -13. DOI: 10.1007/s11771-021-4830-7
Article

Efficient and accurate worm grinding of spur face gears according to an advanced geometrical analysis and a closed-loop manufacturing process

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Abstract

Worm grinding has been applied to manufacture gears to pursue high accuracy and fine surface finish. When the worm used to grind face gears is manufactured with multi-axis computer numerical control (CNC) machining, the machining accuracy is usually improved by increasing the number of tool paths with more time cost. Differently, this work proposes a generated method to improve the efficiency by dressing the worm surface with only one path, and a closed-loop manufacturing process is applied to ensure the machining accuracy. According to an advanced geometric analysis, the worm surface is practically approximated as a swept surface generated by a planar curve. Meanwhile, this curve is applied as the profile of a dressing wheel, which is used to dress the worm surface. The practical machining is carried out in a CNC machine tool, which was originally used to grind helical gears. Finally, a closed-loop manufacturing process including machining, measurement, and modification is proposed to compensate the machining errors. The proposed method is validated with simulations and practical experiments.

Keywords

face gears / worm grinding / worm dressing / geometrical analysis / closed-loop manufacturing

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Yuan-sheng Zhou, Zhong-wei Tang, Xian-lin Shi, Jin-yuan Tang, Zheng-min-qing Li. Efficient and accurate worm grinding of spur face gears according to an advanced geometrical analysis and a closed-loop manufacturing process. Journal of Central South University, 2022, 29(1): 1-13 DOI:10.1007/s11771-021-4830-7

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