Abstract
The “tooth surface distortion” phenomenon is unavoidable when using the additional motion method for helical gear tooth axial modification. To solve this problem, the contact line morphology during helical gear grinding was evaluated by three indicators (the overrun, shift, and offset), and we established a multi-objective contact line optimization mathematical model with the grinding wheel mounting angle as the variable and solved it by a Bayesian regularized BP neural network. The experiments show that the optimized method can lessen the “tooth axial distortion” effects in the process of helical gear tooth axial modification, reduce grinding chatter, and improve grinding efficiency.
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Funding
ZW is supported through grants 51875360 from the National Natural Science Foundation of China (NSFC) and 19060502300 from the Shanghai Science and Technology Commission. LL received the support through grant HTL-0-19G04 from the National Key Laboratory of Science and Technology on Helicopter Transmission (Nanjing University of Aeronautics and Astronautics).
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Li, Y., Wang, Z., Liu, L. et al. Analysis and optimization of the properties of the grinding contact line for form-grinding modified helical gears. Int J Adv Manuf Technol 120, 403–413 (2022). https://doi.org/10.1007/s00170-022-08778-0
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DOI: https://doi.org/10.1007/s00170-022-08778-0