Artificial Intelligence and Additive Manufacturing for Advanced Biomedical and Industrial Applications is a comprehensive, interdisciplinary reference that explores the convergence of Artificial Intelligence (AI), Machine Learning, Additive Manufacturing (AM), advanced fabrication, biomaterials, biomedical implants, intelligent manufacturing systems and sustainable production technologies.

The book provides a systematic understanding of additive manufacturing technologies and their rapidly expanding applications in biomedical engineering, personalized healthcare, industrial fabrication and intelligent digital manufacturing. It begins with the fundamentals of additive manufacturing and biomedical applications before progressing towards advanced materials, implant design, surface engineering, process monitoring, quality assurance and biological performance.

A major focus of the book is the integration of Artificial Intelligence and data-driven technologies into additive manufacturing. It examines AI-driven design optimization, topology optimization, machine-learning-based defect prediction, process-parameter optimization, predictive maintenance, intelligent material selection, multiscale modelling and real-time process analytics. Emerging technologies such as Digital Twins, Edge Computing, Cloud Manufacturing, Cyber-Physical Systems, Blockchain, Federated Learning, Quantum Machine Learning and Reinforcement Learning are also discussed in the context of intelligent manufacturing.

The biomedical section covers important developments in patient-specific implants, ceramic and polymer implants, biomaterials, functionally graded and multi-material structures, 4D-printed smart implants, surface functionalization, nano-texturing, bioinspired structures, osseointegration, biocompatibility and biological performance. Particular attention is given to technologies that enable personalized healthcare and the production of next-generation biomedical implants.

The book also addresses the growing importance of sustainable and energy-efficient manufacturing, including AI-driven lifecycle assessment, green additive manufacturing, energy optimization and environmentally responsible fabrication. The integration of robotics and intelligent automation further demonstrates how autonomous manufacturing systems are transforming conventional production environments.

With contributions spanning materials science, mechanical engineering, manufacturing technology, biomedical engineering, artificial intelligence, robotics and digital manufacturing, this book provides a broad platform for understanding both current developments and future directions in the field.

Key Features

• Comprehensive coverage of AI and Additive Manufacturing
• Focus on biomedical implants and personalized healthcare
• Detailed discussion of biomaterials, polymers, ceramics and advanced composites
• AI-based design, topology and process optimization
• Machine learning approaches for defect prediction and quality control
• Coverage of 4D printing and smart stimuli-responsive implants
• Applications of Digital Twins and Cyber-Physical Systems
• Emerging technologies including Quantum Machine Learning, Federated Learning and Reinforcement Learning
• Discussion of Blockchain, Edge Computing and Cloud Manufacturing
• AI-enabled predictive maintenance and intelligent automation
• Coverage of robotics and autonomous additive manufacturing
• Emphasis on sustainable, green and energy-efficient manufacturing
• Examination of future trends and emerging research opportunities

The book will be valuable for researchers, academicians, engineers, biomedical professionals, postgraduate students, PhD scholars and industry professionals working in additive manufacturing, biomedical engineering, materials science, artificial intelligence, advanced manufacturing and digital transformation.

Dr. Hitesh Vasudev is working as a Professor in the School of Mechanical Engineering, Lovely Professional University, Phagwara, Punjab, India. He has received his Ph.D. degree from Guru Nanak Dev Engineering College, Ludhiana-India in 2018 under the guidance of Prof. (Dr.) Harmeet Singh, GNDEC, Ludhiana and Dr. Lalit Thakur, NIT, Kurukshetra. His research areas include Surface Engineering/Thermal Spraying (HVOF, FLAME SPRAY, COLD SPRAY AND PLASMA SPRAY AND MICROWAVE CLADDINGS) -Currently working on the development of Nanostructured || Multi-modal || High entropy alloys coatings for high temperature oxidation and corrosion resistance -Thermal Barrier Coatings (TBCs) Microwave processing of materials and slurry erosion behavior using Machine Learning to Develop prediction models. He has successfully supervised numerous master’s and bachelor students, with 13 Ph.D. degrees awarded under his guidance. Recently, he has listed in World top 2% Scientists twice published by Stanford University and Elsevier-2023, 2024 & 2025, and also in Carrer List of Scientists. He has contributed extensively in thermal spray coatings in repute journals which include Surface coatings and Technology, Materials Today Communications, Engineering Failure Analysis, Journal of Cleaner Production, Surface Topography: Metrology and Properties and Journal of failure prevention and control, International Journal of Surface Engineering and Interdisciplinary Materials Science under the flagship of various publication groups such as Elsevier, Taylor & Francis, Springer nature, IGI Global and In-Tech Open. Moreover, he is a dedicated reviewer of reputed journals such as Surface Coatings and Technology, Journal of Thermal Spray and Technology, Ceramics International, Journal of Material Engineering Performance, Engineering Failure Analysis, Surface Topography: Metrology and Properties Material Research Express, Engineering Research Express and IGI Global journals etc. He has been awarded a “Top Cited Paper Awards India 2022” by @IOP Publishing, United Kingdom in Review Category. He has won Research Excellence Award- 2019, 2020, 2021,2022, 2023, 2024 and 2025 in Lovely Professional University. He has published over 200+ publications and 15 books. He has been granted a patent titled “High- Temperature Oxidation and Erosion Resistant Alloy-718/Al2O3 Composite Coatings”.

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