Litcius/Paper detail

Alternative experimental methods for machine tool dynamics identification: A review

A.L. Iglesias, Lütfi Taner Tunç, Orkun Özşahin, Oier Franco, Jokin Muñoa, Erhan Budak

2022Mechanical Systems and Signal Processing57 citationsDOIOpen Access PDF

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.

Topics & Concepts

Identification (biology)Computer scienceMachine toolExperimental dataStability (learning theory)Characterization (materials science)Control engineeringMachine learningEngineeringMechanical engineeringMathematicsStatisticsBiologyMaterials scienceNanotechnologyBotanyAdvanced machining processes and optimizationAdvanced Measurement and Metrology TechniquesIterative Learning Control Systems
Alternative experimental methods for machine tool dynamics identification: A review | Litcius