Alternative experimental methods for machine tool dynamics identification: A review
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Date
2022-05-01Author
Iglesias, Alexander
Tunç, L.Taner
Özsahin, Orkun
Franco, Oier
Muñoa, Jokin
Budak, Erhan
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Mechanical Systems and Signal Processing 170 : (2022) // Article ID 108837
Abstract
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.