Applications of artificial intelligence in additive manufacturing:

Study and application of machine learning method in modern additive manufacturing process / Ranjit Barua, CHST, IIEST-SHIBPUR, India, Sudipto Datta, IIEST SHIBPUR, India, Pallab Datta, NIPER KOLKATA, India, Amit Roychowdhury, IIEST SHIBPUR, India -- Additive manufacturing feature taxonomy and placem...

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Weitere Verfasser: Davim, J Paulo (HerausgeberIn), Hussein, Hussein Mohammed Abdel Moneam (HerausgeberIn), Salunkhe, Sachin (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey, Pennsylvania IGI Global [2022]
Schlagworte:
Online-Zugang:DE-1050
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Zusammenfassung:Study and application of machine learning method in modern additive manufacturing process / Ranjit Barua, CHST, IIEST-SHIBPUR, India, Sudipto Datta, IIEST SHIBPUR, India, Pallab Datta, NIPER KOLKATA, India, Amit Roychowdhury, IIEST SHIBPUR, India -- Additive manufacturing feature taxonomy and placement of parts in AM enclosure / Agarwal Prafull, Manipal University Jaipur, India, Kurian Rishi, Manipal University Jaipur, India, Ravi Kumar Gupta, Manipal University Jaipur, India -- Regression and artificial intelligent models to predict the surface roughness in additive manufacturing / Mohamed Ahmed, Helwan University, Egypt, Azza Barakat, Helwan University, Egypt, Abuubakr Abdelwahab, Helwan University, Egypt. "This book provides introductory instruction on how to learn how to use artificial intelligence to produce additively manufactured parts, including a description of the starting points, what you can know, how it blends and how artificial intelligence in additive manufacturing apply.
Beschreibung:Includes bibliographical references and index
Chapter 1. Application of machine learning techniques in additive manufacturing: a review -- Chapter 2. Parts design and process optimization -- Chapter 3. Regression and artificial intelligence models to predict the surface roughness in additive manufacturing -- Chapter 4. Study and application of machine learning methods in modern additive manufacturing processes -- Chapter 5. Experimental investigations and multi-objective optimization of selective inhibition sintering process using the dragonfly algorithm -- Chapter 6. Optimized robotic WAAM -- Chapter 7. Additive manufacturing feature taxonomy and placement of parts in AM enclosure -- Chapter 8. Process optimizations of direct metal laser melting using digital twin -- Chapter 9. Online detection and prediction of fused deposition modelled parts using artificial intelligence. - Mode of access: World Wide Web
Beschreibung:1 Online-Ressource (240 Seiten)
ISBN:9781799885184
DOI:10.4018/978-1-7998-8516-0

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