Alternative experimental methods for machine tool dynamics identification: A review
[Display omitted] •Dynamic characterization of machine tools is essential for machining assessment.•Traditional dynamic characterization methods have limitations with machine tools.•Alternative dynamic characterization methods overcome traditional methods.•Simple and universal method to measure dyna...
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| Published in: | Mechanical systems and signal processing Vol. 170; p. 108837 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.05.2022
Elsevier BV |
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| ISSN: | 0888-3270, 1096-1216 |
| Online Access: | Get full text |
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| Abstract | [Display omitted]
•Dynamic characterization of machine tools is essential for machining assessment.•Traditional dynamic characterization methods have limitations with machine tools.•Alternative dynamic characterization methods overcome traditional methods.•Simple and universal method to measure dynamic response for machine tools needed.
An accurate machine dynamic characterization is essential to properly describe the dynamic response of the machine or predict its cutting stability. However, it has been demonstrated that current conventional dynamic characterization methods are often not reliable enough to be used as valuable input data. For this reason, alternative experimental methods to conventional dynamic characterization methods have been developed to increase the quality of the obtained data. These methods consider additional effects which influence the dynamic behavior of the machine and cannot be captured by standard methods. In this work, a review of the different machine tool dynamic identification methods is done, remarking the advantages and drawbacks of each method. |
|---|---|
| AbstractList | [Display omitted]
•Dynamic characterization of machine tools is essential for machining assessment.•Traditional dynamic characterization methods have limitations with machine tools.•Alternative dynamic characterization methods overcome traditional methods.•Simple and universal method to measure dynamic response for machine tools needed.
An accurate machine dynamic characterization is essential to properly describe the dynamic response of the machine or predict its cutting stability. However, it has been demonstrated that current conventional dynamic characterization methods are often not reliable enough to be used as valuable input data. For this reason, alternative experimental methods to conventional dynamic characterization methods have been developed to increase the quality of the obtained data. These methods consider additional effects which influence the dynamic behavior of the machine and cannot be captured by standard methods. In this work, a review of the different machine tool dynamic identification methods is done, remarking the advantages and drawbacks of each method. An accurate machine dynamic characterization is essential to properly describe the dynamic response of the machine or predict its cutting stability. However, it has been demonstrated that current conventional dynamic characterization methods are often not reliable enough to be used as valuable input data. For this reason, alternative experimental methods to conventional dynamic characterization methods have been developed to increase the quality of the obtained data. These methods consider additional effects which influence the dynamic behavior of the machine and cannot be captured by standard methods. In this work, a review of the different machine tool dynamic identification methods is done, remarking the advantages and drawbacks of each method. |
| ArticleNumber | 108837 |
| Author | Taner Tunç, L. Iglesias, Alexander Munoa, Jokin Özsahin, Orkun Budak, Erhan Franco, Oier |
| Author_xml | – sequence: 1 givenname: Alexander surname: Iglesias fullname: Iglesias, Alexander email: aiglesias@ideko.es organization: Ideko, Dynamics & Control, Elgoibar, Basque Country, Spain – sequence: 2 givenname: L. surname: Taner Tunç fullname: Taner Tunç, L. email: ttunc@sabanciuniv.edu organization: Integrated Manufacturing Technologies Research and Application Centre, Sabanci University, 34956 Istanbul, Turkey – sequence: 3 givenname: Orkun surname: Özsahin fullname: Özsahin, Orkun email: ozsahin@metu.edu.tr organization: Middle East Technical University, Ankara, Turkey – sequence: 4 givenname: Oier surname: Franco fullname: Franco, Oier email: ofrancod@uwaterloo.ca organization: Precision Controls Laboratory, University of Waterloo, Waterloo, ON, Canada – sequence: 5 givenname: Jokin surname: Munoa fullname: Munoa, Jokin email: jmunoa@ideko.es organization: Ideko, Dynamics & Control, Elgoibar, Basque Country, Spain – sequence: 6 givenname: Erhan surname: Budak fullname: Budak, Erhan email: ebudak@sabanciuniv.edu organization: Manufacturing Research Laboratory, Sabanci University, 34956 Istanbul, Turkey |
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