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 original | English |
|---|---|
| Páginas (desde-hasta) | 151-184 |
| Número de páginas | 34 |
| Publicación | CIRP Journal of Manufacturing Science and Technology |
| Volumen | 50 |
| DOI | |
| Estado | Published - 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.
| Financiadores | Número del financiador |
|---|---|
| Swerim AB | |
| Karlsruhe Institute for Technology | |
| Politecnico di Torino | |
| UK Medical Research Council, Engineering and Physical Sciences Research Council | EP/V055011/1 |
| Nottingham Trent University | |
| Gottfried Wilhelm Leibniz Universität Hannover | |
| RTWH Aachen University | |
| Technische Universität Dortmund |
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering