Artificial Intelligence and Machine Learning in the Thermal Spray Industry
Author | : Lalit Thakur |
Publisher | : Multi-Scale and Multi-Functional Materials |
Total Pages | : 0 |
Release | : 2023-11 |
ISBN-10 | : 103250224X |
ISBN-13 | : 9781032502243 |
Rating | : 4/5 (243 Downloads) |
Download or read book Artificial Intelligence and Machine Learning in the Thermal Spray Industry written by Lalit Thakur and published by Multi-Scale and Multi-Functional Materials. This book was released on 2023-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details the emerging area of the induction of expert systems in thermal spray technology, replacing traditional parametric optimization methods like numerical modeling and simulation. It promotes, enlightens, and hastens the digital transformation of the surface engineering industry by discussing the contribution of expert systems like Machine Learning (ML) and Artificial Intelligence (AI) toward achieving durable Thermal Spray (TS) coatings. Artificial Intelligence and Machine Learning in the Thermal Spray Industry: Practices, Implementation, and Challenges highlights how AI and ML techniques are used in the TS industry. It sheds light on AI's versatility, revealing its applicability in solving problems related to conventional simulation and numeric modeling techniques. This book combines automated technologies with expert machines to show several advantages, including decreased error and greater accuracy in judgment, and prediction, enhanced efficiency, reduced time consumption, and lower costs. Specific barriers preventing AI's successful implementation in the TS industry are also discussed. This book also looks at how training and validating more models with microstructural features of deposited coating will be the center point to grooming this technology in the future. Lastly, this book thoroughly analyzes the digital technologies available for modeling and achieving high-performance coatings, including giving AI-related models like Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) more attention. This reference book is directed toward professors, students, practitioners, and researchers of higher education institutions working in the fields that deal with the application of AI and ML technology.