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3 produkter
3 produkter
Artificial Intelligence and Machine Learning in the Thermal Spray Industry
Practices, Implementation, and Challenges
Inbunden, Engelska, 2023
1 695 kr
Skickas inom 10-15 vardagar
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.
Artificial Intelligence and Machine Learning in the Thermal Spray Industry
Practices, Implementation, and Challenges
Häftad, Engelska, 2025
722 kr
Skickas inom 10-15 vardagar
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.
1 762 kr
Skickas inom 10-15 vardagar
This book aims to explore the field of tribology in micro- and nano-reinforced composites to enhance material performance across a range of applications. Researchers and engineers are actively researching different reinforcement configurations and material combinations to develop composites with superior tribological properties. This research will lead to more efficient and reliable engineering solutions.Micro- and Nanocomposites: A Tribological Viewpoint will include a brief examination of previous reinforcement techniques and their impact on composite materials. It will also analyze how changes in tribological parameters affect material surface behavior. Understanding the role of tribology is crucial in assessing the performance of reinforced composite materials, especially in sustainable applications. A key focus of the book will be the significance of reinforcement selection from a tribological perspective in studying the environmental impact of modern industrial practices. Case studies are presented at the end of the book to illustrate the key principles discussed throughout.This book is suitable for researchers, professionals, corporations, and individuals in higher education courses. It can also serve as a valuable reference for those studying advanced composite materials.