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Open Access

An optimization method of grinding wheel profile for complex large shaft curve grinding

Xuekun LIa,bZihan TANGa,bChangjie CHENa,bLiping WANGa,bYun ZHANGa,bDong WANGa,b( )
Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipment and Control, Tsinghua University, Beijing 100084, China
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Abstract

Large shafts, such as metallurgical shafts, large motor rotors, and large curved rollers, are widely used in industry. Multi-pass grinding is employed to remove the excess material on the shaft to ensure the high requirements of dimensional accuracy and surface quality. Due to the influence of the grinding wheel width, there is a stepped dimensional error in the grinding process. In this paper, a grinding wheel profile optimization method is proposed to decrease the dimensional error caused by wheel width. An error calculation model is firstly established to describe the dimensional error caused by wheel width, and the gradient descent method is further developed to optimize the wheel profile to improve dimensional accuracy. The experimental results show that after optimization, the total error decreases from 16.9 mm to 11.1 mm and the mean error decreases from 11.2 mm to 6.3 mm, respectively, which proves that the proposed method is effective to reduce the dimensional error for complex large shaft curve grinding.

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Journal of Advanced Manufacturing Science and Technology
Article number: 2025008

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Cite this article:
LI X, TANG Z, CHEN C, et al. An optimization method of grinding wheel profile for complex large shaft curve grinding. Journal of Advanced Manufacturing Science and Technology, 2025, 5(2): 2025008. https://doi.org/10.51393/j.jamst.2025008

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Received: 15 June 2024
Revised: 11 July 2024
Accepted: 10 August 2024
Published: 21 August 2024
© 2025 JAMST

This is an Open Access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.