Artificial Intelligence in Manufacturing

Applications and Case Studies

Masoud Soroush,Richard D Braatz

• Editorial: Academic Press
• Año: 2024
• ISBN:
  9780323996716
• Categoría: Tecnología e ingeniería
• Categoría: Ingeniería industrial

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.

• Explains innovative computational tools and methods in a practical and systematic way
• Addresses a wide range of manufacturing types, including additive, chemical and pharmaceutical
• Includes case studies from industry that describe how to overcome the challenges of implementing these methods in practice

Índice

• Cover image
• Title page
• Copyright
• Contents
• Contributors
• Preface
• CHAPTER 1 Artificial intelligence for paints/coatings manufacturing
• CHAPTER 2 Data-driven discovery and design of additives for controlled polymer morphology and performance
• CHAPTER 3 Data, machine learning, first-principles, and hybrid models in the petrochemical industry
• CHAPTER 4 Perspectives on artificial intelligence for plasma-assisted manufacturing in semiconductor industry
• CHAPTER 5 Machine learning in reaction engineering
• CHAPTER 6 Artificial intelligence in catalysis
• CHAPTER 7 Advanced manufacturing of touch-sensitive textiles
• CHAPTER 8 Cyber–physical systems framework for AI in smart manufacturing and maintenance
• CHAPTER 9 Dynamic data feature engineering for process operation troubleshooting
• CHAPTER 10 Advanced manufacturing of biopharmaceuticals
• Index