Buch, Englisch, 300 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g
Artificial Intelligence, Machine Learning, and Automation
Buch, Englisch, 300 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 449 g
ISBN: 978-0-443-48501-5
Verlag: Elsevier Science
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.
Autoren/Hrsg.
Weitere Infos & Material
1. Introduction to Welding in the Digital Age
2. Fundamentals of Welding Processes
3. Automation in Welding
4. Artificial Intelligence and Machine Learning in Welding
5. Real-Time Monitoring and Sensing Technologies
6. Digital Twin Technology in Welding
7. Smart Welding Systems and Industry 4.0 Integration
8. Sustainable Welding and Green Manufacturing
9. Human-Robot Collaboration in Welding
10. Future Trends and Challenges in Intelligent Welding




