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Applications of artificial intellige...

Davim, J Paulo.

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Applications of artificial intelligence in additive manufacturing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of artificial intelligence in additive manufacturing/ Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, and J. Paulo Davim, editor.
other author:	Davim, J Paulo.
Published:	Hershey, Pennsylvania :IGI Global, : 2022.,
Description:	1 online resource (xxv, 240 p.) :ill.
[NT 15003449]:	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.
Subject:	Additive manufacturing - Data processing. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8516-0
ISBN:	9781799885184

Applications of artificial intelligence in additive manufacturing
Applications of artificial intelligence in additive manufacturing[electronic resource] /Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, and J. Paulo Davim, editor. - Hershey, Pennsylvania :IGI Global,2022. - 1 online resource (xxv, 240 p.) :ill.

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.

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."

Mode of access: World Wide Web.

ISBN: 9781799885184Subjects--Topical Terms:

3634077
Additive manufacturing
--Data processing.Subjects--Index Terms:

Additive Manufacturing.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TS183.25 / .A66 2022eb

Dewey Class. No.: 621.988

Applications of artificial intelligence in additive manufacturing
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245 0 0 $a Applications of artificial intelligence in additive manufacturing $h [electronic resource] / $c Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, and J. Paulo Davim, editor.
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300 $a 1 online resource (xxv, 240 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a 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."
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650 0 $a Artificial intelligence $x Industrial applications. $3 653318
653 $a Additive Manufacturing.
653 $a Artificial Intelligence Models.
653 $a Digital Twins.
653 $a Experimental Investigations.
653 $a Fused Deposition Modeled Parts.
653 $a Machine Learning Techniques.
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653 $a Optimized Robotics.
653 $a Parts Design.
653 $a Process Optimization.
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700 1 $a Davim, J Paulo. $3 3793484
700 1 $a Hussein, Hussein Mohammed Abdel Moneam. $3 3793485
700 1 $a Salunkhe, Sachin. $3 3793486
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