Chatter stability analysis and prediction for elliptical ultrasonic vibration-assisted milling process
Elliptical ultrasonic vibration-assisted milling (EUVAM) introduces ultrasonic frequency vibration into conventional milling (CM) to achieve high-frequency intermittent milling. It has broad application prospects in processing difficult-to-cut materials such as titanium alloys, superalloys, carbon f...
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| Veröffentlicht in: | International journal of advanced manufacturing technology Jg. 133; H. 5-6; S. 2937 - 2950 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.07.2024
Springer Nature B.V |
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| ISSN: | 0268-3768, 1433-3015 |
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| Abstract | Elliptical ultrasonic vibration-assisted milling (EUVAM) introduces ultrasonic frequency vibration into conventional milling (CM) to achieve high-frequency intermittent milling. It has broad application prospects in processing difficult-to-cut materials such as titanium alloys, superalloys, carbon fiber-reinforced plastic (CFRP), and hard and brittle materials. This study focuses on the development of a dynamic model for EUVAM that considers regenerative effects and analyzes the interaction between the cutting edge and the workpiece in both radial and tangential directions, and the dynamic chip thickness is derived based on this model. To solve the model, a Runge-Kutta-based fully discrete method (RKFDM) is employed. This numerical method accurately predicts the stability of the EUVAM process under specified cutting conditions. In addition, a bisection algorithm is utilized to construct the stability lobe diagram of EUVAM, enhancing the computational efficiency of the process. Stability tests are conducted to validate the proposed stability model and solution method for EUVAM. The results of these tests confirm the accuracy and reliability of the approach presented in this paper. This study provides valuable insights and a practical framework for implementing EUVAM in the processing of difficult-to-cut materials, offering improved machining performance in various industrial applications. |
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| AbstractList | Elliptical ultrasonic vibration-assisted milling (EUVAM) introduces ultrasonic frequency vibration into conventional milling (CM) to achieve high-frequency intermittent milling. It has broad application prospects in processing difficult-to-cut materials such as titanium alloys, superalloys, carbon fiber-reinforced plastic (CFRP), and hard and brittle materials. This study focuses on the development of a dynamic model for EUVAM that considers regenerative effects and analyzes the interaction between the cutting edge and the workpiece in both radial and tangential directions, and the dynamic chip thickness is derived based on this model. To solve the model, a Runge-Kutta-based fully discrete method (RKFDM) is employed. This numerical method accurately predicts the stability of the EUVAM process under specified cutting conditions. In addition, a bisection algorithm is utilized to construct the stability lobe diagram of EUVAM, enhancing the computational efficiency of the process. Stability tests are conducted to validate the proposed stability model and solution method for EUVAM. The results of these tests confirm the accuracy and reliability of the approach presented in this paper. This study provides valuable insights and a practical framework for implementing EUVAM in the processing of difficult-to-cut materials, offering improved machining performance in various industrial applications. |
| Author | Liu, Qiang Liu, Yang Li, Zhongqun Yang, Shangzhen Liu, Hong |
| Author_xml | – sequence: 1 givenname: Zhongqun orcidid: 0000-0001-6922-1483 surname: Li fullname: Li, Zhongqun email: zhqunli@163.com organization: School of Mechanical Engineering, Hunan University of Technology – sequence: 2 givenname: Shangzhen surname: Yang fullname: Yang, Shangzhen organization: School of Mechanical Engineering, Hunan University of Technology – sequence: 3 givenname: Qiang surname: Liu fullname: Liu, Qiang organization: Jiangxi Research Institute, Beihang University – sequence: 4 givenname: Hong surname: Liu fullname: Liu, Hong organization: School of Mechanical Engineering, Hunan University of Technology – sequence: 5 givenname: Yang surname: Liu fullname: Liu, Yang organization: School of Mechanical Engineering, Hunan University of Technology |
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| CitedBy_id | crossref_primary_10_1016_j_jmapro_2025_04_060 crossref_primary_10_1177_08927057251344579 crossref_primary_10_1007_s00170_025_16400_2 crossref_primary_10_1007_s00170_025_15311_6 crossref_primary_10_1007_s43452_025_01184_9 |
| Cites_doi | 10.1016/S0007-8506(07)63222-3 10.1016/j.ijmachtools.2008.12.014 10.1109/TMECH.2019.2906904 10.1016/S0890-6955(02)00077-9 10.1016/j.cirpj.2019.11.006 10.1016/j.precisioneng.2007.08.003 10.1016/S0007-8506(07)62158-1 10.1016/j.cja.2020.02.011 10.1007/s12541-013-0003-4 10.1016/j.compscitech.2013.12.011 10.1016/j.precisioneng.2020.03.017 10.1016/j.measurement.2021.109512 10.1016/j.compstruct.2019.02.099 10.3901/JME.2017.19.143 10.1080/10910344.2020.1815048 10.1007/s00170-022-08976-w 10.1007/s00339-016-0709-0 10.1016/S0007-8506(07)60712-4 10.1007/s00170-021-07946-y 10.1007/s00170-015-7549-5 10.1016/j.ijmachtools.2019.103432 10.1115/IMECE2009-10132 |
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| Keywords | Bisection algorithm Elliptical ultrasonic vibration assisted milling Stability lobe diagram Runge-Kutta based fully discrete method |
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| SubjectTerms | Algorithms Brittle materials CAE) and Design Carbon fiber reinforced plastics Computer-Aided Engineering (CAD Dynamic models Engineering Industrial and Production Engineering Industrial applications Mechanical Engineering Media Management Milling (machining) Numerical methods Original Article Runge-Kutta method Stability analysis Stability lobes Stability tests Superalloys Titanium alloys Titanium base alloys Ultrasonic vibration Vibration analysis Workpieces |
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| Title | Chatter stability analysis and prediction for elliptical ultrasonic vibration-assisted milling process |
| URI | https://link.springer.com/article/10.1007/s00170-024-13889-x https://www.proquest.com/docview/3077561364 |
| Volume | 133 |
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