A review of machining chatter detection and suppression research
CHEN Haoran
SHI Qinghua
WANG Chao
GUO Xiangfu
YIN Zuosheng
SAI Yunxiang
Abstract：As a typical self-excited vibration phenomenon in metal cutting processes,chatter leads to deteriorated machining surface quality,manifested by texture fluctuations,increased dimensional errors,and compromised surface integrity.Effective detection and suppression of chatter is crucial for ensuring machining efficiency and enhancing component performance.Current research has established a multi-dimensional technical framework encompassing physics-model-based offline prediction methods,multi-sensor signal-dependent experimental detection schemes,and intelligent algorithm-integrated online monitoring frameworks.However,existing review literature lacks in-depth dissection of this domain.Addressing this gap,this study conducts a systematic technical review and analysis focusing on chatter detection and suppression technologies.For chatter detection,an analytical-experimental dual methodological framework is established,emphasizing the dissection of applicability scenarios and performance boundaries of various techniques.In terms of chatter suppression,a triple control strategy classification system integrating active-passive-parameter adjustment is constructed,comparing implementation costs and vibration attenuation effects of different solutions.Based on multi-dimensional technical comparisons and cross-disciplinary method integration,existing challenges and potential solutions in this field are explored,providing comprehensive theoretical support and technical references for subsequent research.
Keywords：Cutting processChatter detectionChatter suppressionIntelligent algorithm
Publication Date：2025-09-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：18( 146-163 )