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

verfasst von: Zhirong Liao, Julius M. Schoop, Jannis Saelzer, Benjamin Bergmann, Paolo C. Priarone, Antonia Splettstößer, Vikram M. Bedekar, Frederik Zanger, Yusuf Kaynak
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 improvement of machinability have been reviewed.
Organisationseinheit(en): Institut für Fertigungstechnik und Werkzeugmaschinen
Externe Organisation(en): University of Nottingham
University of Kentucky
Technische Universität Dortmund
Politecnico di Torino (POLITO)
Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
Timken Company
Karlsruher Institut für Technologie (KIT)
Marmara University
Typ: Artikel
Journal: CIRP Journal of Manufacturing Science and Technology
Band: 50
Seiten: 151-184
Anzahl der Seiten: 34
ISSN: 1755-5817
Publikationsdatum: 06.2024
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Wirtschaftsingenieurwesen und Fertigungstechnik
Elektronische Version(en): https://doi.org/10.1016/j.cirpj.2024.02.008 (Zugang: Offen)

BibTeX

@article{218893a6e0fa476bbff9bff52403a1dc,
title = "Review of current best-practices in machinability evaluation and understanding for improving machining performance",
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 improvement of machinability have been reviewed.",
keywords = "Chip formation, Cutting force and temperature, Machinability, Surface integrity, Tool wear",
author = "Zhirong Liao and Schoop, {Julius M.} and Jannis Saelzer and Benjamin Bergmann and Priarone, {Paolo C.} and Antonia Splettst{\"o}{\ss}er and Bedekar, {Vikram M.} and Frederik Zanger and Yusuf Kaynak",
note = "Funding Information: Zhirong Liao acknowledge the support of the United Kingdom Engineering and Physical Sciences Research Council (EPSRC) through grant number EP/V055011/1 for project SENSYCUT. ",
year = "2024",
month = jun,
doi = "10.1016/j.cirpj.2024.02.008",
language = "English",
volume = "50",
pages = "151--184",
journal = "CIRP Journal of Manufacturing Science and Technology",
issn = "1755-5817",
publisher = "Elsevier BV",
}