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 welding applications.Topics such as cobot welding, predictive maintenance, digital twin technology, in-situ monitoring and process corrections, AI-driven defect detection, lifecycle assessment and sustainability forecasting using AI, and the integration of cyber-physical systems in modern welding environments are each discussed, along with case studies that highlight these concepts and techniques being applied in real-world settings.Covers a wide range of advanced welding techniques, including robotic and ultrasonic methods as well as resistance spot weldingOutlines methods for the real-time monitoring of welds, defect detection, process control by optimal conditions, and the design of automation process adoptionStructured to bridge foundational welding knowledge with cutting-edge developments such as predictive maintenance, digital twin technology, in-situ monitoring, process corrections, AI-driven defect detection, and much moreHighlights how these innovations increase productivity, quality, reliability, and sustainability

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 welding applications.Topics such as cobot welding, predictive maintenance, digital twin technology, in-situ monitoring and process corrections, AI-driven defect detection, lifecycle assessment and sustainability forecasting using AI, and the integration of cyber-physical systems in modern welding environments are each discussed, along with case studies that highlight these concepts and techniques being applied in real-world settings.Covers a wide range of advanced welding techniques, including robotic and ultrasonic methods as well as resistance spot weldingOutlines methods for the real-time monitoring of welds, defect detection, process control by optimal conditions, and the design of automation process adoptionStructured to bridge foundational welding knowledge with cutting-edge developments such as predictive maintenance, digital twin technology, in-situ monitoring, process corrections, AI-driven defect detection, and much moreHighlights how these innovations increase productivity, quality, reliability, and sustainability