This text provides an in-depth overview of sustainability in machining processes, challenges during machining of difficult-to-cut materials and different ways of green machining in achieving sustainability.
It discusses important topics including green and sustainable machining, dry machining, textured cutting coated tools for machining, solid lubricants-based machining, gas-cooled machining, cryogenic cooling for intelligent machining, artificial neural network for machining, big data based machining, and hybrid intelligent machining.
This book-
- Covers advances in sustainable machining such as gas-cooled machining, near dry machining, and minimum quantity lubrication.
- Explores use of big data, machine learning and artificial intelligence for machining processes.
- Provides case studies and experimental design as well as results with analysis focusing on achieving sustainability.
- Discusses artificial intelligence and machine learning based machining processes.
- Cover the latest applications of sustainable manufacturing for a better understanding of the concepts.
The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of mechanical, manufacturing, industrial, production engineering and materials science.
