After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.
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Sachin Salunkhe is an Associate Professor in the Mechanical Engineering Department at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai, India. He received his Bachelor’s degree in Mechanical Engineering from the Dr. Babasaheb Ambedkar Marathwada University, Aurangabad India. He received his Master of Technology in CAD/CAM and Ph.D from S.V. National Institute of Technology, Surat, India. His main research interests are in the area of press tool design, metal additive manufacturing, AI applications in manufacturing, expert systems for die design, sheet metal forming, wear analysis, fatigue analysis and high strain rate. Dr. Salunkhe has more than 65 research papers have been published in reputed journals, conferences and 05 book chapters (indexed in Web of Science core collection/h-index 6+/ 120+ citations, SCOPUS/h-index 6+/130+ citations, Google Scholar/h-index 9+/145+).He serves as a reviewer for many reputed journals and is a member of the International Association of Engineers (IAENG), and International Association of Computer Science and Information Technology (IACSIT).
Hussein Mohammed Abdel Moneam Hussein is affiliated with Helwan University, Egypt.
J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal. He is also distinguished as honorary professor in several universities/colleges/institutes in China, India and Spain. He received his PhD in Mechanical Engineering, MSc in Mechanical Engineering (materials and manufacturing processes) and Mechanical Engineering degree (5 years), from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra and the DSc (Higher Doctorate) from London Metropolitan University. He is Fellow (FIET) of IET-London and Eur Ing by Engineers Europe FEANI-Brussels. He is also 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 has more than 35 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, with special emphasis in Machining, Tribology & Surface Engineering. He has also interest in Design, Management, Sustainability, Industry 5.0, Engineering Education and Higher Education for Sustainability. He has guided large numbers of postdoc, PhD 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 PhD thesis for many universities in different countries. He is the Editor in Chief of several international journals, book Series Editor and Scientific Advisory for many conferences. Presently, he is an Editorial Board member of 30 international journals and acts as reviewer for more than 200. In addition, he has also published as editor (and co-editor) more than 300 books and as author (and co-author) more than 15 books, 100 book chapters and 600 articles in journals and conferences (WoS/h-index 70+/17000+ citations, SCOPUS/h-index 79+/21500+ citations, Google Scholar/h-index 99+/36500+ citations). He was listed in World´s Top 2% Scientists by Stanford University study 2023 (Ranked at 1 National Ranking / 2112 World Ranking single year 2022). Also, he was listed in Research.com ranking 2024 (Ranked at 1 National Ranking / 82 World Ranking in field of Mechanical and Aerospace Engineering and Ranked at 7 National Ranking / 1400 World Ranking in field of Materials Science). 2022/23/24 - Research.com Mechanical and Aerospace Engineering/Materials Science in Portugal Leader Award Highly Ranked Scholar by ScholarGPS.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students. Nº de ref. del artículo: 9781799885177
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