Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 170, Issue -, Pages -Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2022.108837
Keywords
Dynamic characterization; Machine tool dynamics; FRF identification
Categories
Funding
- EU [958357/H2020-EU.2.1.5.1.]
- CDTI CERVERA programme MIRAGED project [EXP-00,137,312/CER-20191001]
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An accurate characterization of machine dynamics is crucial for describing its dynamic response and predicting cutting stability. However, current conventional methods are often unreliable, leading to the development of alternative experimental methods to improve data quality.
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.
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