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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Mechanical systems and signal processing Ročník 170; s. 108837
Hlavní autoři: Iglesias, Alexander, Taner Tunç, L., Özsahin, Orkun, Franco, Oier, Munoa, Jokin, Budak, Erhan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin Elsevier Ltd 01.05.2022
Elsevier BV
Témata:
ISSN:0888-3270, 1096-1216
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:[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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2022.108837