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A review of machining chatter detection and suppression research
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Haoran CHEN1, 2, Qinghua SHI1, Chao WANG1, 2, Xiangfu GUO1, 2, Zuosheng YIN1, Yunxiang SAI2
Journal of Mechanical Strength | 2025, 47(9) : 146 - 163
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Journal of Mechanical Strength | 2025, 47(9): 146-163
A review of machining chatter detection and suppression research
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Haoran CHEN1, 2, Qinghua SHI1, Chao WANG1, 2, Xiangfu GUO1, 2, Zuosheng YIN1, Yunxiang SAI2
Affiliations
  • 1.Yunnan Branch of China Academy of Machinery Co., Ltd., Kunming 650031, China
  • 2.Yunnan Provincial Key Laboratory of Mechatronics Application Technology, Kunming 650031, China
Published: 2025-09-15 doi: 10.16579/j.issn.1001.9669.2025.09.014
Outline
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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.

Cutting process  /  Chatter detection  /  Chatter suppression  /  Intelligent algorithm
Haoran CHEN, Qinghua SHI, Chao WANG, Xiangfu GUO, Zuosheng YIN, Yunxiang SAI. A review of machining chatter detection and suppression research[J]. Journal of Mechanical Strength, 2025 , 47 (9) : 146 -163 . DOI: 10.16579/j.issn.1001.9669.2025.09.014
  • Major Science and Technology Special Project of the Department of Science and Technology of Yunnan Province(202402AC080005)
Year 2025 volume 47 Issue 9
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Article Info
doi: 10.16579/j.issn.1001.9669.2025.09.014
  • Receive Date:2025-04-02
  • Online Date:2026-03-20
  • Published:2025-09-15
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  • Received:2025-04-02
Funding
Major Science and Technology Special Project of the Department of Science and Technology of Yunnan Province(202402AC080005)
Affiliations
    1.Yunnan Branch of China Academy of Machinery Co., Ltd., Kunming 650031, China
    2.Yunnan Provincial Key Laboratory of Mechatronics Application Technology, Kunming 650031, China

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SHI Qinghua, E-mail:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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