Digital Twins in Manufacturing

Applications and Case Studies

Häftad, Engelska, 2026

2 166 kr

Kommande

Beskrivning

Digital Twins in Manufacturing: Applications and Case Studies explores digital twin technologies, demonstrating how digital twins enhance manufacturing processes, optimize efficiency, and facilitate informed decision-making. By bridging the gap between theoretical knowledge and practical implementation, the book equips professionals with the tools needed to leverage digital twins for improved product quality and operational effectiveness. It covers a wide array of topics, including digital twins for biomanufacturing, polymerization processes, additive manufacturing, and energy industries. Readers will find detailed discussions on predictive maintenance, process optimization, and the integration of AI and IoT strategies.

Each chapter presents actionable insights and step-by-step implementation guides, addressing real-world challenges and showcasing successful applications in smart factories and high-risk environments. By bridging the gap between theoretical knowledge and practical implementation, the book equips professionals with the tools needed to leverage digital twins for improved product quality and operational effectiveness.

Includes real-world case studies
Presents a step-by-step implementation guide
Outlines predictive maintenance and process optimization techniques
Discusses AI and IoT integration strategies
Forecasts future trends and innovations in digital twin technology

Produktinformation

Utgivningsdatum:2026-10-01
Mått:191 x 235 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:450
Förlag:Elsevier Science
ISBN:9780443332203

Utforska kategorier

Tillverkningsteknik inom Naturvetenskap och teknik
Affärsapplikationer inom Data och IT
Företagsekonomi inom Ekonomi och Ledarskap

Mer om författaren

Masoud Soroush is the George B. Francis Chair Professor of Engineering at Drexel University and directs the Future Layered nAnomaterials Knowledge and Engineering (FLAKE) Consortium, collaborating with over 30 researchers from Drexel, the University of Pennsylvania, and Purdue. He has held positions as a Visiting Scientist at DuPont and a Visiting Professor at Princeton. An Elected Fellow of AIChE and Senior Member of IEEE, Soroush has received numerous awards, including the AIChE 2023 Excellence in Process Development Research Award. He holds a BS from Abadan Institute of Technology and MS/PhD degrees from the University of Michigan, with research focusing on advanced manufacturing and nanomaterials. Dr. Richard D. Braatz is the Edwin R. Gilliland Professor of Chemical Engineering at MIT, specializing in advanced manufacturing systems. His research focuses on process data analytics, mechanistic modeling, and robust control systems, particularly in monoclonal antibody, vaccine, and gene therapy production. He holds an M.S. and Ph.D. from Caltech and previously served as a professor at the University of Illinois and a visiting scholar at Harvard. Dr. Braatz has received several prestigious awards, including the Donald P. Eckman Award and the Curtis W. McGraw Research Award, and is a Fellow of multiple professional organizations and a member of the U.S. National Academy of Engineering.

Innehållsförteckning

1. Digital twins for biomanufacturing2. Digital twins for polymerization processes3. Digital twins in additive manufacturing4. Digital twins in sheet and film processes5. Digital Twins in three-dimensional printing6. Digital twins in small-molecule drug manufacturing7. Digital twins in petroleum and petrochemical industries8. Digital twins in energy industries9. Digital twins in action10. Introduction to Digital Twin Applications in Industrial Manufacturing11. Practical Use Cases for Digital Twins in Product Development12. Optimizing Manufacturing Operations with Digital Twins13. Digital Twins for Asset Management and Maintenance14. Improving Quality Control and Assurance Using Digital Twins15. Supply Chain Applications of Digital Twin Technology16. Leveraging Digital Twins for Product Customization and Personalization17. Sustainability and Energy Efficiency through Digital Twins18. Human-Centric Digital Twins: Enhancing Worker Safety and Productivity19. Collaboration and Ecosystem Development with Digital Twins20. Digital Twin Applications in Smart Factories and Industry 4.021. Digital Twins in High-Risk Manufacturing Environments22. Scaling Digital Twin Solutions: Lessons from Industry Leaders23. Real-World Challenges in Digital Twin Implementation24. The Future of Digital Twin Applications in Manufacturing