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Artificial Intelligence and Machine Learning in the Thermal Spray Industry - Practices, Implementation, and Challenges Loot Price: R3,554
Discovery Miles 35 540
Artificial Intelligence and Machine Learning in the Thermal Spray Industry - Practices, Implementation, and Challenges: Lalit...

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

Lalit Thakur, Hitesh Vasudev, Jashanpreet Singh, Gaurav Prashar

Series: Multi-Scale and Multi-Functional Materials

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Loot Price R3,554 Discovery Miles 35 540 | Repayment Terms: R333 pm x 12*

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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 highlight 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. The 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. The 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, the 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.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Series: Multi-Scale and Multi-Functional Materials
Release date: November 2023
First published: 2024
Authors: Lalit Thakur • Hitesh Vasudev • Jashanpreet Singh • Gaurav Prashar
Dimensions: 234 x 156mm (L x W)
Pages: 152
ISBN-13: 978-1-03-250224-3
Categories: Books
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LSN: 1-03-250224-X
Barcode: 9781032502243

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