Advances in Metal Cutting

Process Development and Innovations
Erscheinungsjahr 2027
ISBN: 978-0-443-43808-0
Verlag: Elsevier Science

Buch, Englisch, 500 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g

Advances in Metal Cutting: Process Development and Innovations provides a thorough overview of innovations in machine tools, novel lubrication strategies, advanced hybrid technologies, and advances in process modelling, simulation, and optimization for metal cutting. The book starts with discussion of advances in cutting tools and how those advances can enhance performance, with insight into optimization of texturing parameters, including microwave and cryogenic-treated tool-based metal cutting. New tool materials, such as ceramics, cermets, and nano-structured materials are discussed. Various lubrication strategies are outlined including nano-fluids, electrostatic, hybrid-nano, and solid. Hybrid approaches to texturing and coating are also discussed, and the book concludes with coverage of advances in simulation and modeling approaches and how to use artificial intelligence and machine learning in metal cutting.

Autoren/Hrsg.

Gupta, Kapil

Pawanr, Shailendra

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Metallurgie

Inhaltsverzeichnis

1. Introduction to Metal Cutting Processes
2. Recent Advances in Cutting Tool Surface Structuring
3. Recent Advances in Cutting Tools Coatings
4. Advancements in Cutting Tool Materials
5. Nano-Fluids for Lubrication
6. Advancement in Minimum Quantity Lubrication (MQL)
7. Solid Lubrication
8. Effects of Novel Lubricants and Lubrication Strategies on Tool Life and Chip Morphology
9. Hybridization of Texturing and Coating on Cutting Tool Surface
10. Hybridization of Texturing on Cutting Tool and Lubrication
11. Hybridization of Coating on Cutting Tool and Lubrication
12. Hybrid Advanced Energy-Assisted Mechanical Machining
13. Recent Advances in Simulation Modeling
14. Advancements in constitutional Laws
15. The Role of Artificial Intelligence and Machine Learning in Metal Cutting

Über Autor(innen)

Pawanr, Shailendra
Dr. Shailendra Pawanr is currently serving as a Postdoctoral Research Fellow at the University of Johannesburg, South Africa. He earned his Ph.D. in Mechanical Engineering with a specialization in sustainable manufacturing (machining) from the prestigious Birla Institute of Technology and Science (BITS) Pilani, an Institute of Eminence recognized by the Government of India. Dr. Pawanr brings over 11 years of experience in teaching and research, reflecting his expertise and dedication to his field.

Dr. Pawanr research interests are centered on sustainable and energy-efficient machining techniques, as well as the modeling and optimization of manufacturing processes. His work is driven by a commitment to reducing the environmental impact of machining processes while upholding high standards of quality and efficiency.

Throughout his academic career, Dr. Pawanr has made significant contributions to his field, evidenced by his extensive publication record. He has authored more than 14 articles in high-impact international journals and conferences (Google Scholar).

In addition to his research, Dr. Pawanr serves as a reviewer for several prestigious journals such as The Journal of Cleaner Production, Elsevier, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering SAGE Publication, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, SAGE Publication.

Driven by a passion to make a positive impact through his research, Dr. Pawanr is committed to developing sustainable manufacturing solutions that benefit both industry and society. His goal is to advance the field by exploring new research avenues and contributing to the progress of sustainable manufacturing practices.

Gupta, Kapil
Dr. Gupta received his Ph.D. from the Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Jabalpur, India. He served as Assistant Professor in the Department of Electronics and Communication Engineering at Oriental College of Technology, Bhopal, India, from 2013 to 2020. His research interests include biomedical signal processing, time-frequency analysis, artificial intelligence, and cardiovascular systems. He has authored research publications in international journals and conference proceedings and has edited scholarly books in his areas of expertise. Dr. Gupta serves as a reviewer for journals and conferences and has contributed to the organization of national and international academic events, including roles on technical program and publicity committees. He has been involved in projects related to automatic diabetes detection and breathing-controlled wheelchairs and holds patents and copyrights. He also contributed as a core team member of the NBA accreditation committee at Oriental College of Technology, Bhopal.