Reprint

Friction and Wear of Cutting Tools and Cutting Tool Materials

Edited by
July 2024
246 pages
  • ISBN978-3-7258-1571-5 (Hardback)
  • ISBN978-3-7258-1572-2 (PDF)

This is a Reprint of the Special Issue Friction and Wear of Cutting Tools and Cutting Tool Materials that was published in

Chemistry & Materials Science
Engineering
Summary

The friction between cutting tools and the workpiece/chip can significantly affect tool wear, cutting force, cutting temperature, machined surface integrity, and machined parts’ service performance. The friction and wear of cutting tools have long been a focus of researchers. In recent years, the development of new cutting methods and cutting tools, such as ultrasonic vibration-assisted cutting, cryogenic cutting, MQL cutting, and micro-textured tools, has changed the friction and wear rules of cutting tools. This Special Issue presents the latest advances in the fields of the friction and wear of cutting tools and cutting tool materials. This Special Issue contains 14 papers covering the design of anti-wear micro-textures/coatings, the development of new lubricating methods, cutting process modeling, and the analysis of friction mechanisms. We would like to sincerely thank all of the authors for submitting exceptional research papers to this Special Issue. We would also like to thank all of the reviewers who dedicated their precious time to carefully examine and help improve the quality of all of the submitted manuscripts. Finally, we would like to thank Ms. Faye Yin, Section Managing Editor, for her outstanding continuous support.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
cryogenic cooling; γ-TiAl alloy; high-speed machining; tool wear; surface integrity; tool wear; prediction model; ultrasonic vibration; coated cutting tools; tool temperature; micro-texture parameters; GH4169; multi-objective optimization; response surface method; genetic algorithm; surface quality; coefficient of friction; distribution uniformity; periodic components; signal processing; PVD; multilayer coatings; roughness; friction; wear; hybrid surfacing; wear resistance; additive manufacturing; surface modification; ZL205A aluminum alloy; milling forces; thermomechanical behavior; analytical modeling; parametric study; micro-texture morphology; GH4169; tool wear; spray cooling; bone sawing; sawing force; tool wear; sawing temperature; surgical training; response surface methodology; MQL; nanofluid; ultrasonic vibration-assisted turning; specific cutting energy; areal surface roughness; aluminum alloy 6061; ADC12 aluminum alloy; high-speed milling; tool–chip interface temperature; adhesion wear; nanocomposite ceramic tool material; microstructure; fracture behavior; Voronoi tessellation; cohesive element; bionic micro-textured; cutting force; cutting temperature; surface roughness; chip; tool wear prediction; one-dimensional convolution; temporal convolutional network; n/a