Transactions on Intelligent Welding Manufacturing: Volume IV No. 1 2020

This volume provides up-to-date coverage of new results in robotic welding, intelligent systems, and automation, with a focus on intelligentized welding manufacturing and intelligent robotic welding as key technologies. It is divided into four parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.

Format: Hardback
Length: 97 pages
Publication date: 23 August 2022
Publisher: Springer Verlag, Singapore

The primary objective of this comprehensive volume is to offer researchers and engineers from both academic and industry a timely and comprehensive overview of the latest advancements in the domains of robotic welding, intelligent systems, and automation. The book is primarily derived from papers presented at the 2020 International Conference on Robotic Welding, Intelligence, and Automation (RWIA2020), which took place in Shanghai and Lanzhou, China. The articles showcased in this publication indicate that the intelligentized welding manufacturing (IWM) is emerging as an inevitable trend, with intelligentized robotic welding serving as the pivotal technology driving this transformation.

The volume is structured into four logical sections:

Intelligent Techniques for Robotic Welding: This section explores innovative approaches and techniques for robotic welding, including automation, machine learning, and artificial intelligence. It discusses the development of advanced welding robots, the integration of sensors and vision systems, and the application of intelligent control algorithms to enhance welding quality and efficiency.

Sensing of Arc Welding Processing: This section focuses on the development of sensing technologies for arc welding processes. It discusses the use of sensors such as infrared cameras, thermocouples, and ultrasonic sensors to monitor and control welding parameters, such as temperature, pressure, and weld quality. The articles also explore the use of machine learning and data analytics to analyze welding data and improve welding process optimization.

Modeling and Intelligent Control of Welding Processing: This section explores the development of mathematical models and intelligent control algorithms for welding processes. It discusses the use of simulation and modeling techniques to predict welding outcomes, optimize welding parameters, and improve the accuracy and reliability of welding processes. The articles also explore the application of artificial intelligence and machine learning to enhance the intelligence and adaptability of welding systems.

Intelligent Control and its Applications in Engineering: This section explores the practical applications of intelligent control in engineering fields. It discusses the use of intelligent control systems in industrial automation, robotics, and transportation. The articles highlight the benefits of intelligent control, such as increased productivity, improved quality, and enhanced safety. They also discuss the challenges and limitations of implementing intelligent control systems and provide potential solutions for overcoming these challenges.

In conclusion, this volume serves as a valuable resource for researchers and engineers seeking to stay updated with the latest developments in the fields of robotic welding, intelligent systems, and automation. The articles presented herein provide insights into the emerging trends, technologies, and applications that are shaping the future of these industries. By exploring the topics covered in this volume, readers will gain a deeper understanding of the potential benefits and challenges associated with the intelligentization of welding manufacturing and other related fields.

Weight: 336g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811939013
Edition number: 1st ed. 2022