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Elsevier Advancements in Intelligent Gas Metal Arc Welding Systems: Fundamentals and Applications (Woodhead Publishing Series in Welding and Other Joining Technologies)

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Product Description Advancements in Intelligent Gas Metal Arc Welding Systems: Fundamentals and Applications presents the latest on gas metal arc welding which plays a significant role in modern manufacturing industries and accounts for about 70% of welding processes. The importance of advancements in GMAW cannot be underestimated as they can lead to more efficient production strategies, resource savings and quality improvements. This book provides an overview of various aspects associated with GMAW, starting from the theoretical basis and ending with characteristics of industrial applications and control methods. Additional sections cover processes associated with welding and welding control, such as fuzzy logic, artificial neural networks, and others. Review "A well written book packed with valuable information and very well illustrated. The work updates previous publications on this subject and enhances the recognition of digital process control in GMAW.... This book brings together a summary of the currently available technology and is a convenient reference for end users and students." --John Norrish, Emeritus Professor, University of Wollongong Review Provides a comprehensive overview of gas metal arc welding, starting from the theoretical base and finishing with characteristics of industrial applications From the Back Cover Advancements in Intelligent Gas Metal Arc Welding: Fundamentals and Applications presents the state-of-the-art on Gas Metal Arc Welding, which plays a significant role in modern manufacturing industries and accounts for about 70% of welding processes. The importance of advancements in GMAW cannot be underestimated, as they can lead to more efficient production strategies, resource saving, and quality improvements. This book provides a comprehensive overview of various aspects associated with GMAW, starting from the theoretical base and finishing with characteristics of industrial applications and state-of-the-art control methods. It discusses the many challenges related to GMAW and offers best practices and mitigation methods for problems and risks connected with GMAW. Additionally, the book provides an in-depth overview to control methods of the welding process, such as fuzzy logic, artificial neural networks and others. These methods are gaining in popularity and will likely become widely used in future welding applications. About the Author Paul Kah is currently working as a professor in welding technology at the Department of Engineering Science, University West, Trollhättan, Sweden. Professor Kah's research focuses on welding technology and, more specifically, process control systems for optimization of arc welding processes for improved weld quality. Additional research interests include research in the application of artificial intelligence systems in gas metal arc processes as a way to meet welding challenges and improve systems integration, welding economy and quality, the weldability of high-strength steels, and aluminium and dissimilar welds. His scientific activity includes being a coordinator and researcher in academic scientific and industrial projects in research, technology transfer and education funded by national and international authorities. Prof Kah has established scientific collaborations with many universities in Africa, the EU and China. Prof. Kah has a large number of publications, which include more than a hundred scientific articles in Scopus and Web of Knowledge and other articles in peer-reviewed conference proceedings. Prof. Kah is a delegate in the International Institute of Welding (IIW) Commission XII and reviewer of the journal Welding in the World. Prof. Kah is the President of the Cameroon Welding Association, a member country of the International Institute of Welding IIW.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 July 2021
Listed Since
04 December 2020

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No barcode data available

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