Alternative experimental methods for machine tool dynamics identification: A review

Iglesias A., Taner Tunç L., ÖZŞAHİN O., Franco O., Munoa J., Budak E.

Mechanical Systems and Signal Processing, cilt.170, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 170
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.ymssp.2022.108837
  • Dergi Adı: Mechanical Systems and Signal Processing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Anahtar Kelimeler: Dynamic characterization, Machine tool dynamics, FRF identification, POSITION-DEPENDENT DYNAMICS, RANDOM CUTTING EXCITATION, FACE MILLING OPERATIONS, CHATTER STABILITY, MODAL-ANALYSIS, DRIVE CONTROL, FORCE MEASUREMENT, DAMPING SYSTEM, PREDICTION, SPINDLE
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

© 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.