Artificial intelligence in manufacturing: applications and case studies
Artificial Intelligence in Manufacturing: Applications and Case Studies provides detailed technical descriptions of emerging applications of AI in manufacturing using case studies to explain implementation. Artificial intelligence is increasingly being applied to all engineering disciplines, produci...
Gespeichert in:
| Weitere Verfasser: | , |
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| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
Academic Press
[2024]
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| Schlagworte: | |
| Zusammenfassung: | Artificial Intelligence in Manufacturing: Applications and Case Studies provides detailed technical descriptions of emerging applications of AI in manufacturing using case studies to explain implementation. Artificial intelligence is increasingly being applied to all engineering disciplines, producing insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully used it in a range of applications. Processes including additive manufacturing, pharmaceutical manufacturing, painting, chemical engineering and machinery maintenance are all addressed. Case studies, worked examples, basic introductory material and step-by-step instructions on methods make the work accessible to a large group of interested professionals |
| Beschreibung: | 1. Machine Learning in Paints and Coatings2. Machine Learning in Lithium-ion Batteries3. Machine Learning for Emerging Two-phase Cooling Technologies4. Algorithm-driven Design of Composite Materials Realized through Additive Manufacturing5. Machine-learning-based Monitoring of Laser Powder Bed Fusion6. Data Analytics and Cyber-physical Systems for Maintenance and Service Innovation7. Machine Learning in Catalysis8. Artificial Intelligence in Petrochemical Industry9. Machine Learning-assisted Plasma Medicine10. Dynamic Data Feature Engineering for Process Operation Troubleshooting11. Geometric Structure-Property Relationships Captured by Theory-Guided, Interpretable Machine Learning12. Molecular Design Blueprints from Machine Learning for Catalysts and Materials13. Physics-driven Machine Learning for Characterizing Surface Microstructure of Complex Materials14. Process Performance Assessment Using Machine Learning15. Artificial Intelligence in Chemical Engineering16. Production of Polymer Films with Optimal Properties Using Machine Learning |
| Beschreibung: | xiii, 326 Seiten Illustrationen |
| ISBN: | 9780323991353 |
Internformat
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| 500 | |a 1. Machine Learning in Paints and Coatings2. Machine Learning in Lithium-ion Batteries3. Machine Learning for Emerging Two-phase Cooling Technologies4. Algorithm-driven Design of Composite Materials Realized through Additive Manufacturing5. Machine-learning-based Monitoring of Laser Powder Bed Fusion6. Data Analytics and Cyber-physical Systems for Maintenance and Service Innovation7. Machine Learning in Catalysis8. Artificial Intelligence in Petrochemical Industry9. Machine Learning-assisted Plasma Medicine10. Dynamic Data Feature Engineering for Process Operation Troubleshooting11. Geometric Structure-Property Relationships Captured by Theory-Guided, Interpretable Machine Learning12. Molecular Design Blueprints from Machine Learning for Catalysts and Materials13. Physics-driven Machine Learning for Characterizing Surface Microstructure of Complex Materials14. Process Performance Assessment Using Machine Learning15. Artificial Intelligence in Chemical Engineering16. Production of Polymer Films with Optimal Properties Using Machine Learning | ||
| 520 | 3 | |a Artificial Intelligence in Manufacturing: Applications and Case Studies provides detailed technical descriptions of emerging applications of AI in manufacturing using case studies to explain implementation. Artificial intelligence is increasingly being applied to all engineering disciplines, producing insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully used it in a range of applications. Processes including additive manufacturing, pharmaceutical manufacturing, painting, chemical engineering and machinery maintenance are all addressed. Case studies, worked examples, basic introductory material and step-by-step instructions on methods make the work accessible to a large group of interested professionals | |
| 653 | 0 | |a Artificial intelligence | |
| 653 | 0 | |a COMPUTERS / Artificial Intelligence | |
| 653 | 0 | |a Industrial chemistry & manufacturing technologies | |
| 653 | 0 | |a Industrielle Chemie und Fertigungstechnologien | |
| 653 | 0 | |a Künstliche Intelligenz | |
| 653 | 0 | |a SCIENCE / Chemistry / Industrial & Technical | |
| 700 | 1 | |a Soroush, Masoud |0 (DE-588)1171858396 |4 edt | |
| 700 | 1 | |a Braatz, Richard D. |d 1966- |0 (DE-588)173391656 |4 edt | |
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| spelling | Artificial intelligence in manufacturing applications and case studies edited by Masoud Soroush, Richard D. Braatz London Academic Press [2024] xiii, 326 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier 1. Machine Learning in Paints and Coatings2. Machine Learning in Lithium-ion Batteries3. Machine Learning for Emerging Two-phase Cooling Technologies4. Algorithm-driven Design of Composite Materials Realized through Additive Manufacturing5. Machine-learning-based Monitoring of Laser Powder Bed Fusion6. Data Analytics and Cyber-physical Systems for Maintenance and Service Innovation7. Machine Learning in Catalysis8. Artificial Intelligence in Petrochemical Industry9. Machine Learning-assisted Plasma Medicine10. Dynamic Data Feature Engineering for Process Operation Troubleshooting11. Geometric Structure-Property Relationships Captured by Theory-Guided, Interpretable Machine Learning12. Molecular Design Blueprints from Machine Learning for Catalysts and Materials13. Physics-driven Machine Learning for Characterizing Surface Microstructure of Complex Materials14. Process Performance Assessment Using Machine Learning15. Artificial Intelligence in Chemical Engineering16. Production of Polymer Films with Optimal Properties Using Machine Learning Artificial Intelligence in Manufacturing: Applications and Case Studies provides detailed technical descriptions of emerging applications of AI in manufacturing using case studies to explain implementation. Artificial intelligence is increasingly being applied to all engineering disciplines, producing insights into how we understand the world and allowing us to create products in new ways. This book unlocks the advantages of this technology for manufacturing by drawing on work by leading researchers who have successfully used it in a range of applications. Processes including additive manufacturing, pharmaceutical manufacturing, painting, chemical engineering and machinery maintenance are all addressed. Case studies, worked examples, basic introductory material and step-by-step instructions on methods make the work accessible to a large group of interested professionals Artificial intelligence COMPUTERS / Artificial Intelligence Industrial chemistry & manufacturing technologies Industrielle Chemie und Fertigungstechnologien Künstliche Intelligenz SCIENCE / Chemistry / Industrial & Technical Soroush, Masoud (DE-588)1171858396 edt Braatz, Richard D. 1966- (DE-588)173391656 edt |
| spellingShingle | Artificial intelligence in manufacturing applications and case studies |
| title | Artificial intelligence in manufacturing applications and case studies |
| title_auth | Artificial intelligence in manufacturing applications and case studies |
| title_exact_search | Artificial intelligence in manufacturing applications and case studies |
| title_exact_search_txtP | Artificial intelligence in manufacturing applications and case studies |
| title_full | Artificial intelligence in manufacturing applications and case studies edited by Masoud Soroush, Richard D. Braatz |
| title_fullStr | Artificial intelligence in manufacturing applications and case studies edited by Masoud Soroush, Richard D. Braatz |
| title_full_unstemmed | Artificial intelligence in manufacturing applications and case studies edited by Masoud Soroush, Richard D. Braatz |
| title_short | Artificial intelligence in manufacturing |
| title_sort | artificial intelligence in manufacturing applications and case studies |
| title_sub | applications and case studies |
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