Artificial Intelligence and Machine Learning in the Thermal Spray Industry: Practices, Implementation, and Challenges

This book discusses the use of Artificial Intelligence and Machine Learning in the Thermal Spray Industry, highlighting their advantages and challenges. It combines automated technologies with expert machines to improve efficiency, accuracy, and prediction. Training and validating models with microstructural features is crucial for future development. The book also analyzes digital technologies for modeling and achieving high-performance coatings. It is directed toward professors, students, practitioners, and researchers in AI and ML technology.

Format: Hardback
Length: 128 pages
Publication date: 01 December 2023
Publisher: Taylor & Francis Ltd

The emergence of expert systems in thermal spray technology is revolutionizing the field, offering a promising alternative to traditional parametric optimization methods like numerical modeling and simulation. This comprehensive book delves into the realm of inducing expert systems in thermal spray, highlighting their significant role in driving the digital transformation of the surface engineering industry. By examining the contribution of expert systems, such as Machine Learning (ML) and Artificial Intelligence (AI), toward achieving durable Thermal Spray (TS) coatings, it promotes understanding, enlightenment, and acceleration of this transformative process.

Artificial Intelligence and Machine Learning in the Thermal Spray Industry: Practices, Implementation, and Challenges serves as a valuable resource for professionals, students, practitioners, and researchers in the fields of AI and ML technology. It sheds light on the versatility of AI, showcasing its applicability in solving problems traditionally approached through conventional simulation and numeric modeling techniques. This book combines automated technologies with expert machines to offer a range of advantages, including improved error and greater accuracy in judgment, prediction, enhanced efficiency, reduced time consumption, and lower costs.

Furthermore, the book explores the specific barriers preventing the successful implementation of AI in the TS industry and examines how training and validating more models with microstructural features of deposited coatings will be crucial in grooming this technology for the future. Additionally, it provides a thorough analysis of the digital technologies available for modeling and achieving high-performance coatings, with a particular focus on AI-related models like Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN).

This reference book is designed to cater to the needs of professors, students, practitioners, and researchers affiliated with higher education institutions engaged in the application of AI and ML technology. It serves as a comprehensive guide, providing valuable insights and practical knowledge to advance the field and drive innovation in thermal spray technology.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032502243