Artificial Intelligence in Manufacturing

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.

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