Welding in the Digital Age

Welding in the Digital Age: Artificial Intelligence, Machine Learning, and Automation covers the evolution of welding technologies driven by automation, artificial intelligence, and industry 4.0. The book is structured to bridge foundational knowledge with cutting-edge developments, starting with an overview of conventional welding techniques and their fundamentals before discussing the latest advances in robotics, smart processes, smart machines, machine learning, artificial intelligence, and adaptive control systems and their applications to welding processes. Topics such as cobot welding, predictive maintenance, digital twin technology, in-situ monitoring and process corrections, AI-driven defect detection, life cycle assessment and sustainability forecasting using AI, and the integration of cyber-physical systems in modern welding environments are each discussed, with case studies highlighting these concepts and techniques being applied in real-world settings included as well.

• Covers a wide range of advanced welding techniques including robotic and ultrasonic methods as well as resistance spot welding
• Outlines methods for real-time monitoring of welds, defect detection, process control by optimal conditions, and the design of automation process adoption
• Structured to bridge foundational welding knowledge with cutting-edge developments such as predictive maintenance, digital twin technology, in-situ monitoring and process corrections, AI-driven defect detection, and much more
• Highlights how these innovations increase productivity, quality, reliability, and sustainability