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...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2022]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| 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: | 18 PDFs (240 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799885184 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 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." | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 12/16/2021). | ||
| 650 | 0 | |a Additive manufacturing |x Data processing. | |
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 700 | 1 | |a Davim, J Paulo, |e editor | |
| 700 | 1 | |a Hussein, Hussein Mohammed Abdel Moneam, |e editor | |
| 700 | 1 | |a Salunkhe, Sachin, |e editor | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| contents | 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. |
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| dewey-tens | 620 - Engineering and allied operations |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| format | Electronic eBook |
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| spelling | Applications of artificial intelligence in additive manufacturing Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, and J. Paulo Davim, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2022] 18 PDFs (240 pages) text rdacontent electronic isbdmedia online resource rdacarrier 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. Restricted to subscribers or individual electronic text purchasers. 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." Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 12/16/2021). Additive manufacturing Data processing. Artificial intelligence Industrial applications. Davim, J Paulo, editor Hussein, Hussein Mohammed Abdel Moneam, editor Salunkhe, Sachin, editor IGI Global, publisher. Print version: 179988516X 9781799885160 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8516-0 Volltext |
| spellingShingle | Applications of artificial intelligence in additive manufacturing 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. Additive manufacturing Data processing. Artificial intelligence Industrial applications. |
| title | Applications of artificial intelligence in additive manufacturing |
| title_auth | Applications of artificial intelligence in additive manufacturing |
| title_exact_search | Applications of artificial intelligence in additive manufacturing |
| title_full | Applications of artificial intelligence in additive manufacturing Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, and J. Paulo Davim, editor. |
| title_fullStr | Applications of artificial intelligence in additive manufacturing Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, and J. Paulo Davim, editor. |
| title_full_unstemmed | Applications of artificial intelligence in additive manufacturing Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, and J. Paulo Davim, editor. |
| title_short | Applications of artificial intelligence in additive manufacturing |
| title_sort | applications of artificial intelligence in additive manufacturing |
| topic | Additive manufacturing Data processing. Artificial intelligence Industrial applications. |
| topic_facet | Additive manufacturing Data processing. Artificial intelligence Industrial applications. |
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