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Review of current best-practices in machinability evaluation and understanding for improving machining performance

Liao, Zhirong ; Schoop, Julius M.; Saelzer, Jannis; Bergmann, Benjamin; Priarone, Paolo C.; Splettstößer, Antonia; Bedekar, Vikram M.; Zanger, Frederik ORCID iD icon 1; Kaynak, Yusuf
1 Institut für Produktionstechnik (WBK), Karlsruher Institut für Technologie (KIT)

Abstract:

Machinability is a generalized framework that attempts to quantify the response of a workpiece material to
mechanical cutting, which has been developed as one of the key factors that drive the final selection of cutting
parameters, tools, and coolant applications. Over the years, there are many attempts have been made to develop
a standard evaluation method of machinability. However, due to the complexity of the influence factors, i.e.,
from work material and cutting tool to machine tool, that can affect the materials machinability, currently there
is no uniquely defined quantification of machinability. As one of the outcomes from the CIRP’s Collaborative
Working Group on “Integrated Machining Performance for Assessment of Cutting Tools (IMPACT)”, this paper
conducts an extensive study to learn interacting machinability parameters to evaluate the overall machining
performance. Specifically, attention is focused on recent advances made towards the determination of the
machinability through tool wear, cutting force and temperature, chip form and breakability, as well as the
surface integrity. Furthermore, the advanced methods that have been developed over the years to enable the
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Verlagsausgabe §
DOI: 10.5445/IR/1000169541
Veröffentlicht am 05.04.2024
Originalveröffentlichung
DOI: 10.1016/j.cirpj.2024.02.008
Scopus
Zitationen: 7
Web of Science
Zitationen: 2
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2024
Sprache Englisch
Identifikator ISSN: 1755-5817, 1878-0016
KITopen-ID: 1000169541
Erschienen in CIRP Journal of Manufacturing Science and Technology
Verlag Elsevier
Band 50
Seiten 151 – 184
Vorab online veröffentlicht am 06.03.2024
Nachgewiesen in Scopus
Web of Science
Dimensions
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