Alternative experimental methods for machine tool dynamics identification: A review

Date

2022-05-01

Author

Iglesias, Alexander
Taner Tunç, L.
Özşahin, Orkun
Franco, Oier
Munoa, Jokin
Budak, Erhan

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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© 2022An 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.

Subject Keywords

Dynamic characterization, FRF identification, Machine tool dynamics

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123761332&origin=inward
https://hdl.handle.net/11511/97649

Journal

Mechanical Systems and Signal Processing

DOI

https://doi.org/10.1016/j.ymssp.2022.108837

Collections

Department of Mechanical Engineering, Article

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Citation Formats

A. Iglesias, L. Taner Tunç, O. Özşahin, O. Franco, J. Munoa, and E. Budak, “Alternative experimental methods for machine tool dynamics identification: A review,” Mechanical Systems and Signal Processing, vol. 170, pp. 0–0, 2022, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85123761332&origin=inward.