Classification prediction of gear hobbing precision and iterative adjustment of process parameters-Reference-Cited by-同舟云学术

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Classification prediction of gear hobbing precision and iterative adjustment of process parameters

Published:2022-10-11 Issue:11 Volume:44 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Jia Yachao,Li Guolong,He Kun

Funder

National Key Research and Development Project

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s40430-022-03815-1.pdf

Reference29 articles.

1. Wu D, Yan P, Guo Y, Zhou H, Yi R (2021) Integrated optimization method for helical gear hobbing parameters considering machining efficiency, cost and precision. Int J Adv Manuf Technol 113(3–4):735–756

2. Kharka V, Jain NK, Gupta K (2020) Predictive modelling and parametric optimization of minimum quantity lubrication-assisted hobbing process. Int J Adv Manuf Technol 109(5–6):1681–1694

3. Han J, Jiang H, Tian XQ, Chen RF, Xia L (2022) Online gear hobbing error estimation based on shaft vibration signal analysis. Mech Syst Signal Process 167:108559

4. Deng F, Tang Q, Li XG, Yang Y, Zou Z (2018) Study on mapping rules and compensation methods of cutting-force-induced errors and process machining precision in gear hobbing. Int J Adv Manuf Technol 97(9–12):3859–3871

5. Ni HX, Yan CP, Cao WD, Liu YF (2020) A novel parameter decision approach in hobbing process for minimizing carbon footprint and processing time. Int J Adv Manuf Technol 111(11–12):3405–3419

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