Alternative experimental methods for machine tool dynamics identification: a review

Iglesias, Alexander and Tunç, Lütfi Taner and Özsahin, Orkun and Franco, Oier and Munoa, Jokin and Budak, Erhan (2022) Alternative experimental methods for machine tool dynamics identification: a review. Mechanical Systems and Signal Processing, 170 . ISSN 0888-3270 (Print) 1096-1216 (Online)

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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.
Item Type: Article
Uncontrolled Keywords: Dynamic characterization; FRF identification; Machine tool dynamics
Divisions: Faculty of Engineering and Natural Sciences
Integrated Manufacturing Technologies Research and Application Center
Depositing User: Erhan Budak
Date Deposited: 25 Aug 2022 17:15
Last Modified: 25 Aug 2022 17:15

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