Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter
In order to analyze the nonlinear dynamic behavior of the milling chatter，firstly to analyze the varying depths of cut during milling stationary vibration signal the vibration signal and bred flutter vibration signal nonlinear characteristics based on the phase difference and the maximum Lyapunov...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2018-02-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1471 |
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| _version_ | 1849225428861976576 |
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| author | WU Shi WANG Yang-yang LIU Xian-li XU Hong LI Ｒong-yi |
| author_facet | WU Shi WANG Yang-yang LIU Xian-li XU Hong LI Ｒong-yi |
| author_sort | WU Shi |
| collection | DOAJ |
| description | In order to analyze the nonlinear dynamic behavior of the milling chatter，firstly to analyze the
varying depths of cut during milling stationary vibration signal the vibration signal and bred flutter vibration signal
nonlinear characteristics based on the phase difference and the maximum Lyapunov exponent permutation entropy
ect of the vibration signal of the workpiece. Then to develop the milling vibration signal acquisition and analysis
system for online forecasting milling chatter experiment based on virtual instrument platform. The experimental
results showed that，the phase of vibration signal characteristics can effectively detect the milling chatter. But that
can＇t be effective prediction of cutting chatter. At the different stages of cutting chatter，the sensitivity of the
Lyapunov exponent of the vibration signal is different. The threshold of permutation entropy is also different. The
characteristics of phase difference and chaotic characteristics can be used as an effective method for the
identification of chatter. |
| format | Article |
| id | doaj-art-bbd4abafac4f448fb37ad58110dc0d9d |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2018-02-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-bbd4abafac4f448fb37ad58110dc0d9d2025-08-25T01:29:27ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832018-02-0123011610.15938/j.jhust.2018.01.001Online Analysis of Nonlinear Vibration Characteristics of Milling ChatterWU Shi0WANG Yang-yang1LIU Xian-li2XU Hong3LI Ｒong-yi4School of Mechanical and Power Engineering，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Mechanical and Power Engineering，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Mechanical and Power Engineering，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Mechanical and Power Engineering，Harbin University of Science and Technology，Harbin 150080，ChinaSchool of Mechanical and Power Engineering，Harbin University of Science and Technology，Harbin 150080，ChinaIn order to analyze the nonlinear dynamic behavior of the milling chatter，firstly to analyze the varying depths of cut during milling stationary vibration signal the vibration signal and bred flutter vibration signal nonlinear characteristics based on the phase difference and the maximum Lyapunov exponent permutation entropy ect of the vibration signal of the workpiece. Then to develop the milling vibration signal acquisition and analysis system for online forecasting milling chatter experiment based on virtual instrument platform. The experimental results showed that，the phase of vibration signal characteristics can effectively detect the milling chatter. But that can＇t be effective prediction of cutting chatter. At the different stages of cutting chatter，the sensitivity of the Lyapunov exponent of the vibration signal is different. The threshold of permutation entropy is also different. The characteristics of phase difference and chaotic characteristics can be used as an effective method for the identification of chatter.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1471milling chattervirtual instrumentmaximum lyapunov exponentphase differencepermutation entropy |
| spellingShingle | WU Shi WANG Yang-yang LIU Xian-li XU Hong LI Ｒong-yi Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter Journal of Harbin University of Science and Technology milling chatter virtual instrument maximum lyapunov exponent phase difference permutation entropy |
| title | Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter |
| title_full | Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter |
| title_fullStr | Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter |
| title_full_unstemmed | Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter |
| title_short | Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter |
| title_sort | online analysis of nonlinear vibration characteristics of milling chatter |
| topic | milling chatter virtual instrument maximum lyapunov exponent phase difference permutation entropy |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1471 |
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