Artificial Intelligence and Machine Learning in the Thermal Spray Industry (PDF)
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Artificial Intelligence and Machine Learning in the Thermal Spray Industry highlights how Artificial Intelligence and Machine Learning techniques are used in the Thermal Spray industry. It sheds light on AI's versatility and applicability in solving problems related to conventional simulation and numeric modeling techniques.
Prof. (Dr.) Hitesh Vasudev is working as a full-time Professor in the School of Mechanical Engineering and Division of Research and Development at Lovely Professional University, Jalandhar, India. He has received Ph.D. in Mechanical Engineering from Guru Nanak Dev Engineering College, India. His area of research is surface engineering, bimodal coatings, and additive manufacturing. He has more than 10 years of teaching and research experience. He has authored more than 100 research papers, and 3 books, and has organized International conferences.
Dr. Jashanpreet Singh is currently working at the University Centre of Research and Development, Chandigarh University as an Assistant Professor. He obtained his Ph.D. degree from the Thapar Institute of Engineering and Technology, Patiala in 2019. He has authored more than 55 research publications in various international journals (SCI/Scopus), books, and conferences of repute. He has a teaching experience of more than three years and industrial experience of more than two years. His area of research is tribology-solid particle erosion, thermal spray coatings, CFD simulation, artificial intelligence, machine learning and regression tools, process optimization, composites, and materials characterization.
Dr. Gaurav Prashar is an Associate
- Autoren: Lalit Thakur , Hitesh Vasudev , Jashanpreet Singh , Gaurav Prashar
- 2023, 1. Auflage, 138 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1000996212
- ISBN-13: 9781000996210
- Erscheinungsdatum: 01.12.2023
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- Größe: 25 MB
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