Chatter forecast for the grinding process considering the stiffness variation of the workpiece

Han Wu; Zhenqiang Yao

doi:10.1117/12.2679769

18 July 2023 Chatter forecast for the grinding process considering the stiffness variation of the workpiece

Han Wu, Zhenqiang Yao

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127220L (2023) https://doi.org/10.1117/12.2679769
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

A model to forecast chatter in surface grinding is proposed considering the stiffness variation along the longitudinal direction, which is suitable for beams with different kinds of constraints. Utilizing the method for stability analysis of control systems, the stability condition of the grinding system is obtained. According to the results from the model, the probability of chatter increases with the distance from the constraint under the same grinding condition. The stability limit curve (lobe diagram) at any position in the longitudinal direction could be acquired from the model, which can provide evidence for chatter avoidance. The stability diagram expresses a parameter space between the speed of the spindle and the nominal grinding depth, where the grinding process is stable using the parameters below the stability curve but unstable using the parameters above the stability curve. In this paper, grinding of a simply supported rail beam is taken as an example. The chatter forecast is verified via rail beam grinding.

Citation Download Citation

Han Wu and Zhenqiang Yao "Chatter forecast for the grinding process considering the stiffness variation of the workpiece", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127220L (18 July 2023); https://doi.org/10.1117/12.2679769

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available