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

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

Producción científica: Articlerevisión exhaustiva

19 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Páginas (desde-hasta)151-184
Número de páginas34
PublicaciónCIRP Journal of Manufacturing Science and Technology
Volumen50
DOI
EstadoPublished - jun 2024

Nota bibliográfica

Publisher Copyright:
© 2024 The Authors

Financiación

The authors would like to thank Prof. Ibrahim S. Jawahir form University of Kentucky who initiated and led the CIRP collaborative working group (CWG) on integrated machining performance for assessment of cutting tools (IMPACT). We also thank Prof. Dragos Axinte and Dr. Omkar Mypati from University of Nottingham, Prof. Thomas Bergs and Dr. Markus Meurer from RWTH Aachen University, Prof. Dirk Biermann and Dr. Ivan Iovkov from TU Dortmund University, Prof. Berend Denkena, Mr. Lars Ellersiek, Jonas Matthies and Felix Zender from Leibniz Universität Hannover, Prof. Luca Settineri from Politecnico di Torino and Dr. Ulrika Brohede from Swerim AB, and Mr. Florian Sauer from Karlsruhe Institute of Technology. They have all made big effort and contribution to Topic A of CIRP CWG IMPACT as well as this paper. 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.

FinanciadoresNúmero del financiador
Swerim AB
Karlsruhe Institute for Technology
Politecnico di Torino
UK Medical Research Council, Engineering and Physical Sciences Research CouncilEP/V055011/1
Nottingham Trent University
Gottfried Wilhelm Leibniz Universität Hannover
RTWH Aachen University
Technische Universität Dortmund

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

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