Artificial Intelligence and Machine Learning in the Thermal Spray Industry: Practices, Implementation, and Challenges (Multi-Scale and Multi-Functional Materials)
By: and and and
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- Synopsis
- 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.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 128 Pages
- ISBN-13:
- 9781000996265
- Related ISBNs:
- 9781032502243, 9781003400660, 9781032510040
- Publisher:
- CRC Press
- Date of Addition:
- 12/01/23
- Copyrighted By:
- Lalit Thakur, Hitesh Vasudev, Jashanpreet Singh, and Gaurav Prashar
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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- by Lalit Thakur
- by Hitesh Vasudev
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