Sunil Pathak - Intelligent Manufacturing

This series fosters information exchange and discussion on all aspects of materials forming, machining and tribology. This series focuses on materials forming and machining processes, namely, metal casting, rolling, forging, extrusion, drawing, sheet metal forming, microforming, hydroforming, thermoforming, incremental forming, joining, powder metallurgy and ceramics processing, shaping processes for plastics/composites, traditional machining (turning, drilling, miling, broaching, etc.), non-traditional machining (EDM, ECM, USM, LAM, etc.), grinding and others abrasive processes, hard part machining, high speed machining, high efficiency machining, micro and nanomachining, among others. The formability and machinability of all materials will be considered, including metals, polymers, ceramics, composites, biomaterials, nanomaterials, special materials, etc. The series covers the full range of tribological aspects such as surface integrity, friction and wear, lubrication and multiscale tribology including biomedical systems and manufacturing processes. It also covers modelling and optimization techniques applied in materials forming, machining and tribology. Contributions to this book series are welcome on all subjects of green materials forming, machining and tribology. To submit a proposal or request further information, please contact Dr. Mayra Castro, Publishing Editor Applied Sciences, via mayra.castro@springer.com or Professor J. Paulo Davim, Book Series Editor, via pdavim@ua.pt

More information about this series at http://www.springer.com/series/11181

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

The 4th industrial revolution urges all sectors, including manufacturing, to develop and adopt intelligent methods and techniques in order to stay competitive in the global economy. The manufacturing sector is one of the most significant contributors in the world economy and always busy promoting research, development, and innovations to meet the accelerated demand for productivity, quality, and sustainability. Intelligent manufacturing processes and techniques have always been helpful to attain that. Therefore, it is important for the engineers, managers, researchers, and professors working in the manufacturing field to understand the development, implementation and effectiveness of various intelligent manufacturing methods and techniques.

This book facilitates them by providing fundamental understanding, basic knowledge, and advanced research insights on intelligent manufacturing methods and techniques for a wide range of conventional and advanced type manufacturing processes.

This book consists of eight chapters on intelligent manufacturing. Chapter highlighting the hybrid approach for prediction and modelling of abrasive water jet machining parameter on Al-NiTi composites, where the combinations of advanced optimization techniques such as SVM-entropy model, GRA-AVM-entropy modelling.

I sincerely acknowledge Springer for this opportunity and their professional support. I am also thankful to all chapter contributors for their availability and valuable contributions.