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

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Zhirong Liao
  • Julius M. Schoop
  • Jannis Saelzer
  • Benjamin Bergmann
  • Paolo C. Priarone
  • Antonia Splettstößer
  • Vikram M. Bedekar
  • Frederik Zanger
  • Yusuf Kaynak

Externe Organisationen

  • 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
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)151-184
Seitenumfang34
FachzeitschriftCIRP Journal of Manufacturing Science and Technology
Jahrgang50
Frühes Online-Datum6 März 2024
PublikationsstatusVeröffentlicht - Juni 2024

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.

ASJC Scopus Sachgebiete

Zitieren

Review of current best-practices in machinability evaluation and understanding for improving machining performance. / Liao, Zhirong; Schoop, Julius M.; Saelzer, Jannis et al.
in: CIRP Journal of Manufacturing Science and Technology, Jahrgang 50, 06.2024, S. 151-184.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Liao, Z, Schoop, JM, Saelzer, J, Bergmann, B, Priarone, PC, Splettstößer, A, Bedekar, VM, Zanger, F & Kaynak, Y 2024, 'Review of current best-practices in machinability evaluation and understanding for improving machining performance', CIRP Journal of Manufacturing Science and Technology, Jg. 50, S. 151-184. https://doi.org/10.1016/j.cirpj.2024.02.008
Liao, Z., Schoop, J. M., Saelzer, J., Bergmann, B., Priarone, P. C., Splettstößer, A., Bedekar, V. M., Zanger, F., & Kaynak, Y. (2024). Review of current best-practices in machinability evaluation and understanding for improving machining performance. CIRP Journal of Manufacturing Science and Technology, 50, 151-184. https://doi.org/10.1016/j.cirpj.2024.02.008
Liao Z, Schoop JM, Saelzer J, Bergmann B, Priarone PC, Splettstößer A et al. Review of current best-practices in machinability evaluation and understanding for improving machining performance. CIRP Journal of Manufacturing Science and Technology. 2024 Jun;50:151-184. Epub 2024 Mär 6. doi: 10.1016/j.cirpj.2024.02.008
Liao, Zhirong ; Schoop, Julius M. ; Saelzer, Jannis et al. / Review of current best-practices in machinability evaluation and understanding for improving machining performance. in: CIRP Journal of Manufacturing Science and Technology. 2024 ; Jahrgang 50. S. 151-184.
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AU - Liao, Zhirong

AU - Schoop, Julius M.

AU - Saelzer, Jannis

AU - Bergmann, Benjamin

AU - Priarone, Paolo C.

AU - Splettstößer, Antonia

AU - Bedekar, Vikram M.

AU - Zanger, Frederik

AU - Kaynak, Yusuf

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