Authors:
- Presents the basics, advantages and shortcomings of the LASOX cutting process, together with research on modelling and optimizing it
- Introduces two integrated soft computing-based models consisting of Artificial Neural Networks
- Includes a detailed discussion on the basic working algorithms of soft computing tools
- Illustrates the practical implementation of the proposed models
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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About this book
Authors and Affiliations
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Department of Automobile Engineering, MCKV Institute of Engineering, Howrah, India
Sudipto Chaki
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Department of Mechanical Engineering, Netaji Subhas Engineering College, Kolkata, India
Sujit Ghosal
About the authors
Sudipto Chaki received his B.Tech. degree in Mechanical Engineering from North Eastern Regional Institute of Science and Technology, Itanagar, India in 2003, his M.Tech. degree in Manufacturing Technology from the National Institute of Technical Teachers’ Training and Research, Kolkata, India in 2007, and his Ph.D. in Engineering from Jadavpur University in 2013. He is presently working as an Associate Professor and Head of the Automobile Engineering Department at MCKV Institute of Engineering, West Bengal, India. He has published 28 research papers so far, in national and international journals and conference proceedings. His research interests include applications of Soft Computing techniques for the modelling and optimization of manufacturing processes.
Sujit Ghosal received his B.Eng. degree in Mechanical Engineering from Jadavpur University, India in 1976, his M.Tech. degree in Mechanical Engineering from the same institute in 1988, and his Ph.D. in Engineering from the Indian Institute of Technology, Kharagpur, India in 1993. He retired as a Professor at the Mechanical Engineering Department of Jadavpur University, India in 2018 and at present working as Professor, Mechanical Engineering Department, Netaji Subhas Engineering College, Garia, Kolkata, India. He has more than 25 years of teaching and research experience and has published large number of research papers in national and international journals and conference proceedings. He is also working as a technical advisor for various Government and multi-national organizations. His research interest includes CFD, droplet combustion, optimization and hydraulic systems.Bibliographic Information
Book Title: Modelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach
Authors: Sudipto Chaki, Sujit Ghosal
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-030-04903-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-04902-7Published: 28 January 2019
eBook ISBN: 978-3-030-04903-4Published: 15 December 2018
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: IX, 56
Topics: Computational Intelligence, Manufacturing, Machines, Tools, Processes, Artificial Intelligence