AL ENABLED MANUFACTURING PROCESS - 3

edited by Hitesh Vasudev, Lovely
Forthcoming

Browse All Volumes of Integration of AI and ML into Manufacturing
Language: English | Imprint: NIPA

Hardback

ISBN: 9788167422385
Pages: 490 | Length: 152 mm | Breadth: 30.4 mm | Height: 229 mm | Weight: 800 GSM
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This book will be available from 31-Dec-2026

EBook

EISBN: 9788167422392
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eChapter

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Artificial Intelligence in Additive Manufacturing and Advanced Fabrication Technologies presents a comprehensive exploration of the rapidly evolving integration of artificial intelligence with additive manufacturing, advanced fabrication, biomedical engineering, and smart manufacturing systems. The book brings together contemporary concepts, methodologies, applications, and emerging research directions in AI-enabled design, process optimization, materials development, quality control, automation, and sustainable manufacturing.

The chapters cover a broad spectrum of topics, including patient-specific biomedical implants, biomaterials, ceramic and polymer implants, 4D printing, surface engineering, digital twins, cyber-physical systems, machine learning-based defect prediction, reinforcement learning, quantum machine learning, federated learning, edge computing, blockchain-enabled manufacturing, robotics, cloud manufacturing, predictive maintenance, energy-efficient manufacturing, and AI-based material selection.

Chapter 1. Artificial Intelligence Driven Design Optimization for Patient Specific Additively Manufactured Biomedical Implants

Chapter 2. Supply Chain Optimization Using Artificial Intelligence in Additive Manufacturing and Advanced Fabrication Industries

Chapter 3. Ceramic Dental Implants through Additive Manufacturing

Chapter 4. Functionally Graded and Multi Material Additive Manufacturing for Enhanced Biomedical Implant Performance

Chapter 5. Artificial Intelligence Driven Design Optimization for Patient Specific Additively Manufactured Biomedical Implants

Chapter 6. Biomaterials for Additive Manufacturing of Implants

Chapter 7. 4D Printing of Smart Stimuli Responsive Biomedical Implants for Personalized Healthcare Applications

Chapter 8. Advanced Surface Functionalization and Nano Texturing Techniques for Improved Implant Osseointegration and Wear

Chapter 9. Bioinspired and Hierarchical Structures in Additive Manufacturing for Long Lasting Biomedical Implants

Chapter 10. Digital Twin Enabled Monitoring and Lifecycle Management of Additively Manufactured Biomedical Implant Systems

Chapter 11. A Compressive Study on Additive Manufacturing Methods and Its Application in Biomedical Implants

Chapter 12. Sustainable and Green Additive Manufacturing Approaches for Environmentally Friendly Biomedical Implant Production

Chapter 13. Introduction to Additive Manufacturing in Biomedical Engineering

Chapter 14. Machine Learning Based Defect Prediction and Quality Control in Biomedical Additive Manufacturing

Chapter 15. Future Trends and Challenges in Additive Manufacturing of Biomedical Implants

Chapter 16. Hybrid Additive Manufacturing Techniques Integrating Laser Plasma and Microwave Processing for Implants

Chapter 17. Biomaterials for Additive Manufacturing of Implants

Chapter 18. Role of Surface Engineering and Post-Processing in Additively Manufactured Biomedical Implants: A Brief Study

Chapter 19. Polymer Materials in Additive Manufacturing for Biomedical Implants

Chapter 20. Cyber Physical Systems Integration in Additive Manufacturing for Intelligent Biomedical Implant Production

Chapter 21. Process Monitoring, Quality Control and Defect Management

Chapter 22. Additive Manufacturing Systems for Biomedical Implants

Chapter 23. Process Monitoring and Quality Assurance in Additive Manufacturing

Chapter 24. Additive Manufacturing Technologies for Biomedical Applications

Chapter 25. Effect of Polymer Based Composite Coatings on Biomedical Applications Using Additive Manufacturing and Thermal Spray Approaches

Chapter 26. Biological Performance and Biocompatibility of Additive Manufactured (AM) Implants

Chapter 27. Role of Data Driven Modelling and Intelligent Algorithms in Enhancing Additive Manufacturing Process Efficiency and Accuracy

Chapter 28. Autonomous Additive Manufacturing through Reinforcement Learning: Intelligent Decision Making and Adaptive Process Optimization

Chapter 29. Role of Data-driven Modelling and Intelligent Algorithms in Enhancing Additive Manufacturing Process Efficiency and Accuracy

Chapter 30. Artificial Intelligence-Driven Design of Advanced Coatings for Industrial Applications: Methods, Progress, and Future Directions

Chapter 31. Quantum Machine Learning for Intelligent Additive Manufacturing: Process Optimization, Materials Discovery, and Smart Fabrication

Chapter 32. Machine Learning Based Process Parameter Optimization for Improved Quality and Performance in Advanced Additive Manufacturing Systems

Chapter 33. Artificial Intelligence Driven Lifecycle Assessment and Sustainability Evaluation in Additive Manufacturing and Advanced Fabrication Systems

Chapter 34. Federated Learning for Privacy-Preserving and Trustworthy Artificial Intelligence in Additive Manufacturing

Chapter 35. Predictive Maintenance Strategies Using Artificial Intelligence for Additive Manufacturing Equipment and Fabrication Systems Reliability Enhancement

Chapter 36. AI Enabled Design Optimization and Topology Enhancement for Advanced Additive Manufacturing and Fabrication Applications

Chapter 37. Artificial Intelligence-Driven Multiscale Modelling for Predictive Microstructure Evolution and Process Optimization in Additive Manufacturing

Chapter 38. Edge Computing and Artificial Intelligence for Real-Time Analytics in Additive Manufacturing and Fabrication Systems

Chapter 39. Trusted Autonomous Additive Manufacturing through Blockchain-Enabled Artificial Intelligence: Secure Digital Manufacturing Ecosystems

Chapter 40. Robotics and Intelligent Automation in Additive Manufacturing and Advanced Fabrication Systems Using Artificial Intelligence Techniques

Chapter 41. Robotics and Intelligent Automation in Additive Manufacturing and Advanced Fabrication Systems Using Artificial Intelligence Techniques

Chapter 42. Energy Efficient Additive Manufacturing Systems Using Artificial Intelligence Driven Optimization and Sustainable Fabrication Approaches

Chapter 43. Cloud Manufacturing Platform Integrated with Artificial Intelligence for Advanced Additive Manufacturing and Fabrication Applications

Chapter 44. Artificial Intelligence Based Material Selection and Performance Prediction in Additive Manufacturing and Fabrication Technologies

Chapter 45. Future Trends and Emerging Opportunities of Artificial Intelligence in Additive Manufacturing and Advanced Fabrication Technologies

Keywords

Artificial Intelligence in Additive Manufacturing, AI in Additive Manufacturing, Additive Manufacturing, Advanced Fabrication Technologies, Artificial Intelligence, Machine Learning, Smart Manufacturing, Intelligent Manufacturing, 3D Printing, Biomedical Implants, AI Driven Manufacturing, Additive Manufacturing Technologies, Manufacturing Process Optimization, Robotics and Automation, Digital Twin Manufacturing, Sustainable Manufacturing, Biomedical Engineering, Advanced Materials, Industry 4.0, Industry 5.0