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Breakthrough of regenerative chatter modeling in milling by including unexpected effects arising from tooling system deflection

TOTIS, Giovanni
2017
  • journal article

Periodico
INTERNATIONAL JOURNAL, ADVANCED MANUFACTURING TECHNOLOGY
Abstract
Self-excited anomalous vibrations called chatter affected milling operations since the beginning of the industrial era. Chatter is responsible for bad surface quality of the machined part and it may severely damage machining system elements. Although the significant advances of recent years, state of the art dynamic models are not yet able to completely explain chatter onset even when some conventional cutting tools are applied for conventional milling operations. In this work, a more general model of regenerative chatter is presented. The model takes into account some additional degrees of freedom and cutting forces which are neglected in the classical approach. By so doing, a more accurate representation of milling dynamics is obtained, especially when considering large diameter cutters. An improved mathematical formulation of regenerative cutting forces is provided with respect to a very recent publication where the new model has been first outlined. This approach allows -45 % of computation time. Moreover, here a new, independent, and stronger experimental validation is provided, where the new model successfully predicts an increase of about +(50 A center dot 100) % of the stability boundaries with respect to the classical prediction, thus showing the potential breakthrough of the new approach.
DOI
10.1007/s00170-016-9855-y
WOS
WOS:000398922700003
Archivio
http://hdl.handle.net/11390/1108421
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85006153452
http://www.springerlink.com/content/0268-3768
Diritti
closed access
Soggetti
  • Chatter

  • Dynamic

  • Milling

  • Modeling

  • Prediction

  • Regenerative effect

  • Control and Systems E...

  • Software

  • Mechanical Engineerin...

  • Computer Science Appl...

  • Industrial and Manufa...

Scopus© citazioni
10
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
13
Data di acquisizione
Mar 3, 2024
Visualizzazioni
2
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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