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Automation in the Welding Industry (eBook)

Incorporating Artificial Intelligence, Machine Learning and Other Technologies
eBook Download: EPUB
2024 | 1. Auflage
304 Seiten
John Wiley & Sons (Verlag)
978-1-394-17292-4 (ISBN)

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AUTOMATION IN THE WELDING INDUSTRY

This volume serves as a multidimensional perspective of welding practices in Industry 5.0 from the perspective of automation, digitization, digital twins, cobots, virtual reality, augmented reality, machine learning, artificial intelligence, and IoT ranging from rudiments to advanced applications.

This book introduces the concept of Industry 5.0 in welding technologies, where the human brain collaborates with robots to achieve rapid productivity and economic efficiency. It presents the latest information on adapting and integrating Industry 5.0 in welding industries through critical constituents such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), digital twin, augmented and virtual reality (AR & VR), and collaborative robots (Cobots), towards intelligent welding systems. The chapter authors have comprehensively addressed the issues related to welding industries such as a shortage of welders, challenges in critical applications, creating defect-free and quality products through real-time monitoring, feedback systems, and in situ adjustments, etc. The utilization of cobots in welding technology is addressed in real-world problems to move towards a green welding environment (i.e., minimal fumes with less shielding gas) and thereby, less energy consumption. Two or more welding processes are combined to form a hybrid process where the compatibility of existing materials and novel materials can be used in 3D, 4D, and 5D printing of complex geometries.

Audience

Engineering research scholars, industry welding, and additive manufacturing groups. A diverse group of industries will be interested in this book, such as medical, automotive, construction, pipeline, shipping, aerospace, etc.

Syed Quadir Moinuddin, PhD, is an assistant professor in the Department of Mechanical Engineering, College of Engineering, King Faisal University, Al-Houfuf, Kingdom of Saudi Arabia. He has 14 years of research and 5 years of teaching experience in the field of manufacturing science. Through his research work, he has contributed to national and international publications via book chapters, journal articles, and conferences. Shaik Himam Saheb, PhD, is an assistant professor in the Department of Mechatronics Engineering, at ICFAI Foundation for Higher Education (deemed to be a University), Hyderabad, Telangana, India. He has published many articles in international journals and conferences. The team guided by him has received a national-level Go-Kart Championship award organized by the Indian Society of New Era Engineers. Ashok Kumar Dewangan, PhD, is an assistant professor in the Department of Mechanical Engineering, National Institute of Technology Delhi, India. He has published 25 research papers in reputed peer-reviewed international journals, conferences, and book chapters. Currently, he is working in a few areas including thermal modeling of selective laser melting, and single/twin wire gas metal arc welding. Murali Mohan Cheepu, PhD, is a research manager at Starwelds Inc. Busan, Republic of Korea. He has several years of industry experience specializing in the development of wire arc additive manufacturing processes for large-scale components, welding process design, automation, digitalization, and artificial intelligence. He has published numerous papers in scientific and conference proceedings, edited books, and patents. S. Balamurugan, PhD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.

Erscheint lt. Verlag 2.2.2024
Reihe/Serie Industry 5.0 Transformation Applications
Sprache englisch
Themenwelt Naturwissenschaften Chemie
Technik Maschinenbau
Schlagworte Artificial Intelligence • Automatisierung • Automatisierungstechnik • Computer Science • Industrial Engineering • Industrial Engineering / Project Management • Industrielle Verfahrenstechnik • Informatik • Joining, Welding and Adhesion • Künstliche Intelligenz • Materials Science • Materialwissenschaften • Metalle u. Legierungen / Verbinden, Schweißen u. Kleben • Projektmanagement i. d. Industriellen Verfahrenstechnik • Schweissen
ISBN-10 1-394-17292-3 / 1394172923
ISBN-13 978-1-394-17292-4 / 9781394172924
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