Chatter detection in camshaft high-speed grinding process based on VMD parametric optimization

Abstract

Chatter has been the most significant factor affecting grinding quality and efficiency in the camshaft high-speed grinding process, which is complex and difficult to detect. Consequently, this paper proposes a novel approach to detect the chatter for high-speed grinding process of camshaft based on variational mode decomposition (VMD) parametric optimization. In this method, recorded chatter signal has been pretreatment using fast local mean empirical mode decomposition (FLMEMD). The number of modes is estimated according to the similarity coefficient criterion, and the quadratic penalty is optimized based on comprehensive evaluation factor method. The energy entropy is used to detect the chatter frequency bands automatically. The vibration signal containing chatter frequency is simulated and the high-speed grinding experiments with different conditions are performed to evaluate the effectiveness of the proposed method. The results show that the proposed method is suitable for detecting chatter in the high-speed grinding process of camshaft.