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.

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.

Thermal Spray Coatings for High-Temperature Conditions provides an in-depth analysis of thermal spray coatings covering a wide range of types and applications in aerospace, automotive, and heavy-duty equipment maintenance. It considers the various thermal spray processes available, including high-velocity oxy-fuel spraying, plasma spraying, and flame spraying.

Focusing on the importance of surface preparation for thermal spray coatings, this book demonstrates the significance of establishing a strong bond between the substrate and the coating. It explores a range of surface preparation techniques like grit blasting and laser texturing. This book showcases the wide range of uses for thermal spray coatings, such as protecting against corrosion, enhancing wear resistance, preventing erosion, and prolonging the lifespan of industrial equipment.

This book is intended for researchers and graduate students studying surface engineering, thermodynamics, high-temperature materials, and wear resistance.

Thermal Spray Coatings for High-Temperature Conditions provides an in-depth analysis of thermal spray coatings covering a wide range of types and applications in aerospace, automotive, and heavy-duty equipment maintenance. It considers the various thermal spray processes available, including high-velocity oxy-fuel spraying, plasma spraying, and flame spraying.

Focusing on the importance of surface preparation for thermal spray coatings, this book demonstrates the significance of establishing a strong bond between the substrate and the coating. It explores a range of surface preparation techniques like grit blasting and laser texturing. This book showcases the wide range of uses for thermal spray coatings, such as protecting against corrosion, enhancing wear resistance, preventing erosion, and prolonging the lifespan of industrial equipment.

This book is intended for researchers and graduate students studying surface engineering, thermodynamics, high-temperature materials, and wear resistance.

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.

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.

Thermal Spray Coatings for High-Temperature Conditions provides an in-depth analysis of thermal spray coatings covering a wide range of types and applications in aerospace, automotive, and heavy-duty equipment maintenance. It considers the various thermal spray processes available, including high-velocity oxy-fuel spraying, plasma spraying, and flame spraying.

Focusing on the importance of surface preparation for thermal spray coatings, this book demonstrates the significance of establishing a strong bond between the substrate and the coating. It explores a range of surface preparation techniques like grit blasting and laser texturing. This book showcases the wide range of uses for thermal spray coatings, such as protecting against corrosion, enhancing wear resistance, preventing erosion, and prolonging the lifespan of industrial equipment.

This book is intended for researchers and graduate students studying surface engineering, thermodynamics, high-temperature materials, and wear resistance.

Thermal Spray Coatings for High-Temperature Conditions provides an in-depth analysis of thermal spray coatings covering a wide range of types and applications in aerospace, automotive, and heavy-duty equipment maintenance. It considers the various thermal spray processes available, including high-velocity oxy-fuel spraying, plasma spraying, and flame spraying.

Focusing on the importance of surface preparation for thermal spray coatings, this book demonstrates the significance of establishing a strong bond between the substrate and the coating. It explores a range of surface preparation techniques like grit blasting and laser texturing. This book showcases the wide range of uses for thermal spray coatings, such as protecting against corrosion, enhancing wear resistance, preventing erosion, and prolonging the lifespan of industrial equipment.

This book is intended for researchers and graduate students studying surface engineering, thermodynamics, high-temperature materials, and wear resistance.