Alternative experimental methods for machine tool dynamics identification: A review

[Display omitted] •Dynamic characterization of machine tools is essential for machining assessment.•Traditional dynamic characterization methods have limitations with machine tools.•Alternative dynamic characterization methods overcome traditional methods.•Simple and universal method to measure dyna...

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Published in:Mechanical systems and signal processing Vol. 170; p. 108837
Main Authors: Iglesias, Alexander, Taner Tunç, L., Özsahin, Orkun, Franco, Oier, Munoa, Jokin, Budak, Erhan
Format: Journal Article
Language:English
Published: Berlin Elsevier Ltd 01.05.2022
Elsevier BV
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ISSN:0888-3270, 1096-1216
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Abstract [Display omitted] •Dynamic characterization of machine tools is essential for machining assessment.•Traditional dynamic characterization methods have limitations with machine tools.•Alternative dynamic characterization methods overcome traditional methods.•Simple and universal method to measure dynamic response for machine tools needed. 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.
AbstractList [Display omitted] •Dynamic characterization of machine tools is essential for machining assessment.•Traditional dynamic characterization methods have limitations with machine tools.•Alternative dynamic characterization methods overcome traditional methods.•Simple and universal method to measure dynamic response for machine tools needed. 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.
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.
ArticleNumber 108837
Author Taner Tunç, L.
Iglesias, Alexander
Munoa, Jokin
Özsahin, Orkun
Budak, Erhan
Franco, Oier
Author_xml – sequence: 1
  givenname: Alexander
  surname: Iglesias
  fullname: Iglesias, Alexander
  email: aiglesias@ideko.es
  organization: Ideko, Dynamics & Control, Elgoibar, Basque Country, Spain
– sequence: 2
  givenname: L.
  surname: Taner Tunç
  fullname: Taner Tunç, L.
  email: ttunc@sabanciuniv.edu
  organization: Integrated Manufacturing Technologies Research and Application Centre, Sabanci University, 34956 Istanbul, Turkey
– sequence: 3
  givenname: Orkun
  surname: Özsahin
  fullname: Özsahin, Orkun
  email: ozsahin@metu.edu.tr
  organization: Middle East Technical University, Ankara, Turkey
– sequence: 4
  givenname: Oier
  surname: Franco
  fullname: Franco, Oier
  email: ofrancod@uwaterloo.ca
  organization: Precision Controls Laboratory, University of Waterloo, Waterloo, ON, Canada
– sequence: 5
  givenname: Jokin
  surname: Munoa
  fullname: Munoa, Jokin
  email: jmunoa@ideko.es
  organization: Ideko, Dynamics & Control, Elgoibar, Basque Country, Spain
– sequence: 6
  givenname: Erhan
  surname: Budak
  fullname: Budak, Erhan
  email: ebudak@sabanciuniv.edu
  organization: Manufacturing Research Laboratory, Sabanci University, 34956 Istanbul, Turkey
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Keywords Machine tool dynamics
Dynamic characterization
FRF identification
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Snippet [Display omitted] •Dynamic characterization of machine tools is essential for machining assessment.•Traditional dynamic characterization methods have...
An accurate machine dynamic characterization is essential to properly describe the dynamic response of the machine or predict its cutting stability. However,...
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StartPage 108837
SubjectTerms Dynamic characterization
Dynamic response
Dynamic stability
Experimental methods
FRF identification
Identification methods
Machine tool dynamics
Machine tools
Research methodology
Title Alternative experimental methods for machine tool dynamics identification: A review
URI https://dx.doi.org/10.1016/j.ymssp.2022.108837
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Volume 170
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