Prediction, detection, and suppression of regenerative chatter in milling
In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, processing efficiency and tool life. The academic research on chatter mainly focuses on three directions: chatter prediction, real-time detect...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-10-01
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| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1177/16878132221129746 |
| _version_ | 1811339059512999936 |
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| author | Bo Liu Changfu Liu Xinli Yu Yang Zhou Daohai Wang |
| author_facet | Bo Liu Changfu Liu Xinli Yu Yang Zhou Daohai Wang |
| author_sort | Bo Liu |
| collection | DOAJ |
| description | In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, processing efficiency and tool life. The academic research on chatter mainly focuses on three directions: chatter prediction, real-time detecting, and chatter suppression. With the continuous development of machining toward intelligence, the hot spots and trends of chatter research are also constantly changing. Therefore, an in-depth and systematic summary of the current situation of chatter research is urgently needed. On this basis, it is of great significance to realize the prediction of the hot spots and trends of chatter research. This article summarizes the research status from three aspects of chatter prediction, detecting and suppression, and points out the advantages and limitations of current chatter research. After in-depth discussion, this article also looks forward to the trend of chatter research. The hot spots of chatter research will focus on the following points: (1) Chatter research methods and means based on data-driven. (2) Integrated data collection, processing and decision-making methods. (3) Chatter detecting unit and chatter suppression unit are integrated in the smart spindle. (4) The chatter mechanism and detecting research of robot milling. |
| first_indexed | 2024-04-13T18:20:27Z |
| format | Article |
| id | doaj.art-2e0787ab4c87433ba32c08735f35a4a8 |
| institution | Directory Open Access Journal |
| issn | 1687-8140 |
| language | English |
| last_indexed | 2024-04-13T18:20:27Z |
| publishDate | 2022-10-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Advances in Mechanical Engineering |
| spelling | doaj.art-2e0787ab4c87433ba32c08735f35a4a82022-12-22T02:35:28ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402022-10-011410.1177/16878132221129746Prediction, detection, and suppression of regenerative chatter in millingBo LiuChangfu LiuXinli YuYang ZhouDaohai WangIn metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, processing efficiency and tool life. The academic research on chatter mainly focuses on three directions: chatter prediction, real-time detecting, and chatter suppression. With the continuous development of machining toward intelligence, the hot spots and trends of chatter research are also constantly changing. Therefore, an in-depth and systematic summary of the current situation of chatter research is urgently needed. On this basis, it is of great significance to realize the prediction of the hot spots and trends of chatter research. This article summarizes the research status from three aspects of chatter prediction, detecting and suppression, and points out the advantages and limitations of current chatter research. After in-depth discussion, this article also looks forward to the trend of chatter research. The hot spots of chatter research will focus on the following points: (1) Chatter research methods and means based on data-driven. (2) Integrated data collection, processing and decision-making methods. (3) Chatter detecting unit and chatter suppression unit are integrated in the smart spindle. (4) The chatter mechanism and detecting research of robot milling.https://doi.org/10.1177/16878132221129746 |
| spellingShingle | Bo Liu Changfu Liu Xinli Yu Yang Zhou Daohai Wang Prediction, detection, and suppression of regenerative chatter in milling Advances in Mechanical Engineering |
| title | Prediction, detection, and suppression of regenerative chatter in milling |
| title_full | Prediction, detection, and suppression of regenerative chatter in milling |
| title_fullStr | Prediction, detection, and suppression of regenerative chatter in milling |
| title_full_unstemmed | Prediction, detection, and suppression of regenerative chatter in milling |
| title_short | Prediction, detection, and suppression of regenerative chatter in milling |
| title_sort | prediction detection and suppression of regenerative chatter in milling |
| url | https://doi.org/10.1177/16878132221129746 |
| work_keys_str_mv | AT boliu predictiondetectionandsuppressionofregenerativechatterinmilling AT changfuliu predictiondetectionandsuppressionofregenerativechatterinmilling AT xinliyu predictiondetectionandsuppressionofregenerativechatterinmilling AT yangzhou predictiondetectionandsuppressionofregenerativechatterinmilling AT daohaiwang predictiondetectionandsuppressionofregenerativechatterinmilling |