Additive Manufacturing

Artificial Intelligence and Optimization
1. Auflage 2026
ISBN: 978-1-041-03872-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 322 Seiten, Format (B × H): 164 mm x 240 mm, Gewicht: 680 g

Additive manufacturing has transformed industries by enabling complex designs, rapid prototyping, and customization. Advances in techniques such as SLS, FDM, and SLA, along with progress in materials science, have improved precision and performance. However, challenges in quality control—particularly interlayer bonding, porosity, and surface finish—persist. Efforts by organizations like ASTM International aim to establish standardization. Material selection remains critical, and scalability continues to limit widespread industrial adoption.

Despite these challenges, additive manufacturing holds strong potential for large-scale applications. This book explores these issues and emerging solutions to advance the field.

Key Features:

- Increasing adoption of additive manufacturing in mass production.

- Integrating additive manufacturing with other digital manufacturing technologies.

- Selecting suitable materials is paramount for successful additive manufacturing outcomes.

- Ensuring quality control in additive manufacturing.

- Standardization of additive manufacturing

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

S Jatti, Vijaykumar

Saiyathibrahim, A.

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Preface. 1. Fundamentals of Additive Manufacturing. 2. Additive Manufacturing: Progress, Applications, and Future Directions. 3. Hybrid Aluminium Matrix Composites: Advancing Mechanical and Tribological Performance with Additive Manufacturing Insights. 4. Mechanical Properties Prediction of Metal Additive Manufactured Parts Using Artificial Intelligence. 5. Artificial Neural Network-Based Mechanical Property Prediction for Additively Manufactured Parts. 6. Integrating Additive Manufacturing into Industrial Design Methods and Processes. 7. Convolution Neural Network Prediction of Surface Quality of Additively Manufactured Metal Parts. 8. Supervised Machine Learning Algorithms for Prediction of Ultimate Tensile Strength and Yield Strength of Metal Additive Manufactured Parts. 9. Artificial Neural Network with Genetic Algorithm as a Hybrid Method for Optimization of Additive Manufacturing Process. 10. Data-Driven Topology Optimization of Additively Manufactured Parts Using Deep Learning. 11. Optimization of Additive Manufacturing Process using Data-Driven Artificial Neural Network Based Hybrid Method. 12. Process Parameter Optimization in Additive Manufacturing Using GRA, TOPSIS, CORPAS, and MOORA Optimization Techniques.

Über Autor(innen)

Vijaykumar S. Jatti is a Professor in the Symbiosis Skills and Professional University, Kiwale, Pune, Maharashtra, India. He earned his Ph.D. in Mechanical Engineering from Symbiosis International (Deemed University). He also holds an M.Tech in Mechanical Engineering from National Institute of Technology Calicut and a B.E. in Mechanical Engineering from Visvesvaraya Technological University. He brings nearly 15 years of combined teaching, research, and industrial experience. His scholarly contributions include over 100 publications indexed in major databases such as Web of Science and Scopus, appearing in reputed journals and conference proceedings. He has 10 published patents to his credit and has authored 12 book chapters along with 11 books with leading publishers. He actively contributes to the academic community as a reviewer for international journals and conferences. He has successfully completed a funded research project and has guided several Ph.D. scholars, while also serving on doctoral committees. In addition, he has delivered invited talks at numerous academic and industrial forums. His contributions to academia and research have been recognized with 16 awards and appreciations.

A. Saiyathibrahim is currently affiliated with the Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. He holds a Ph.D. in Mechanical Engineering from Anna University, with a specialization in functionally graded materials. His research interests encompass advanced machining, centrifugal casting, functionally graded materials, and additive manufacturing. He has contributed extensively to the field through numerous book chapters, research articles in reputed scientific journals, and patented innovations. With over thirteen years of academic experience, he is also an active member of several professional bodies, including ISME, IAAM, IAAC, and ISDS.