Artificial Intelligence in Mechanical and Industrial Engineering (eBook, ePUB)

Redaktion: Kumar, Kaushik; Davim, J. Paulo; Zindani, Divya

• Format: ePub

Produktbeschreibung

This book offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book will cover the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 156
• Erscheinungstermin: 20. Juni 2021
• Englisch
• ISBN-13: 9781000397017
• Artikelnr.: 61610526

Autorenporträt

Kaushik Kumar, B.Tech (Mechanical Engineering, REC (Now NIT), Warangal), MBA (Marketing, IGNOU) and Ph.D (Engineering, Jadavpur University), is presently an Associate Professor in the Department of Mechanical Engineering, Birla Institute of Technology, Mesra, Ranchi, India. He has 19 years of Teaching & Research and over 11 years of industrial experience in a manufacturing unit of Global repute. His areas of teaching and research interest are Composites, Optimization, Non-conventional machining, CAD / CAM, Rapid Prototyping and Quality Management Systems. He has 9 Patents, 35+ Book, 30+ Edited Book, 55+ Book Chapters, 150+ international Journal publications, 22 International and 1 National Conference publications to his credit. He is on the editorial board and review panel of 7 International and 1 National Journals of repute. He has been felicitated with many awards and honours. (Web of Science core collection (104 publications/h-index 10+, SCOPUS/h-index 10+, Google Scholar/h-index 23+). Divya Zindani, (BE, Mechanical Engineering, Rajasthan Technical University, Kota), M.E. (Design of Mechanical Equipment, BIT Mesra), presently pursuing PhD (National Institute of Technology, Silchar). He has over 2 years of Industrial experience. His areas of interests are Optimization, Product and Process Design, CAD/CAM/CAE, Rapid prototyping and Material Selection. He has 2 Patent, 8 Books, 8 Edited Books, 23 Book Chapters, 10 SCI journals, 7 Scopus Indexed international journals and 7 International Conference publications to his credit. J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal. He is also distinguished as honorary professor in several universities/colleges in China, India and Spain. He received his Ph.D. degree in Mechanical Engineering in 1997, M.Sc. degree in Mechanical Engineering (materials and manufacturing processes) in 1991, Mechanical Engineering degree (5 years) in 1986, from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra in 2005 and the D.Sc. (Higher Doctorate) from London Metropolitan University in 2013. He is Senior Chartered Engineer by the Portuguese Institution of Engineers with an MBA and Specialist titles in Engineering and Industrial Management as well as in Metrology. He is also Eur Ing by FEANI-Brussels and Fellow (FIET) of IET-London. He has more than 30 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, with special emphasis in Machining & Tribology. He has also interest in Management, Engineering Education and Higher Education for Sustainability. He has guided large numbers of postdoc, Ph.D. and master's students as well as has coordinated and participated in several financed research projects. He has received several scientific awards and honors. He has worked as evaluator of projects for ERC-European Research Council and other international research agencies as well as examiner of Ph.D. thesis for many universities in different countries. He is the Editor in Chief of several international journals, Guest Editor of journals, books Editor, book Series Editor and Scientific Advisory for many international journals and conferences. Presently, he is an Editorial Board member of 30 international journals and acts as reviewer for more than 100 prestigious Web of Science journals. In addition, he has also published as editor (and co-editor) more than 150 books and as author (and co-author) more than 15 books, 100 book chapters and 500 articles in journals and conferences (more than 280 articles in journals indexed in Web of Science core collection/h-index 57+/10500+ citations, SCOPUS/h-index 62+/13000+ citations, Google Scholar/h-index 80+/21500+ citations). 　

Inhaltsangabe

SECTION I: State of Art. 1. An Overview of Machine Learning Implementation
in Various Industrial Scenarios- Agriculture, Healthcare and Enterprise.
SECTION II: Application towards Mechanical Engineering. 2. Artificial
Intelligence in Predciting the Optimized Wear Behavior Parameters of
Sintered Titanium Grade 5 Reinforced with Nano B4C Particles. 3.
Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and
Optimization with DEMATEL Technique. 4. A Comparison of ACO and GA for
Routing AGVs Via C#. 5. Intelligent Control Design Schemes of a Two-Link
Robotic Manipulator. 6. Maize Leaf Disease Detection and Classification
Using Deep Learning. SECTION III: Application towards Industrial
Engineering. 7. Inspectorate Patterns for Cell Recognition in Cellular
Manufacturing. 8. Optimization of Operating Parameters of Wire EDM. Index.