Smart Technologies and Digital Transformation in Additive Manufacturing

1. Auflage 2025
ISBN: 978-1-032-94237-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 232 Seiten, Format (B × H): 156 mm x 234 mm

The book presents the advancements and innovations in the field of additive manufacturing and its applications in diverse sectors such as medical, automotive, agriculture, aviation, and food processing. It further addresses the cutting-edge breakthroughs in intelligence systems including artificial intelligence, machine learning, augmented reality, and learning algorithms, and their impact on welding, 3D printing, and smart materials. This book:

• Covers hybrid mode of troubleshooting techniques in additive manufacturing, and data-driven intelligence for enhanced production.

• Highlights the implementation of intelligent systems such as artificial intelligence, machine learning, augmented reality, and learning algorithms in additive manufacturing.

• Discusses intelligent methodology for design, technology, and materials optimization for wire arc additive manufacturing.

• Presents additive manufacturing applications in diverse areas such as agriculture, aviation, automotive, medical, and food processing.

• Addresses the cutting-edge advancements in functionally graded materials within the realm of additive manufacturing.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including manufacturing engineering, mechanical engineering, aerospace engineering, automotive engineering, industrial engineering, and production engineering.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Davim, J. Paulo

Sripriyan, K

Fachgebiete

• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Computergestützte Fertigung
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau

Inhaltsverzeichnis

Chapter 0 Front Matter
Chapter 1 Introduction to Wire Additive Manufacturing and Regulatory Framework
Chapter 2 Material Processes and AI Advancements in Additive Manufacturing
Chapter 3 Advancements in Functionally Graded Materials for Additive Manufacturing
Chapter 4 An artificial neural network approach in joining of dissimilar materials an aerospace application
Chapter 5 Smart Design and Material Optimization Strategies for Additive Manufacturing

Chapter 6 Experimental Investigation of Amplitude Suppression in PLA Cantilevers using Magnetorheological Fluid and Piezoelectric Macro-Fiber Composites under Forced Vibration
Chapter 7 Advancing Manufacturing through Data-Driven Smart Innovation
Chapter 8 Additive Manufacturing Applications in Automotive and Aviation Industries
Chapter 9 Human-Machine Interaction in Virtual Smart Factory for Additive Manufacturing
Chapter 10 Additive Manufacturing Applications Across Agricultural, Aviation, Automotive, Medical, Food Processing, and Sports Industries
Chapter 11 Advancements in Quality Control and Monitoring Strategies for Wire Arc Additive Manufacturing: A Comprehensive Review
Chapter 12 Virtual smart factory in additive manufacturing

Über Autor(innen)

Dr. K. Sripriyan is an Assistant Professor (Selection Grade) in the School of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Coimbatore campus. He has 17 years of teaching and research experience, which includes academic positions at VIT and PSG College of Technology. He completed his Master’s degree in Manufacturing Engineering from AC Government College of Engineering and Technology, and his Ph.D. in Welding Technology from Anna University, Chennai. Dr. Sripriyan has published 35 peer-reviewed papers in international and national journals and conferences. He is the inventor of four Indian granted patents, reflecting his active contributions to applied research and innovation. His research interests span Additive Manufacturing, Moving Heat Source Modeling, and Machine Learning. He has successfully completed two funded research projects sponsored by the ANRF and the Office of PSA, Department of Science and Technology (DST), Government of India. Dr. Sripriyan is a lifetime member of the Institution of Engineers (IE) and has served as editor for several academic books.

J. Paulo Davim, a highly accomplished full Professor at the University of Aveiro, Portugal, holds a Ph.D. and an MSc in Mechanical Engineering, specializing in manufacturing, materials, and industrial engineering, with a focus on machining, tribology, and surface engineering. He has received prestigious awards such as the 2023 Contribution Award from the Korean Society for Precision Engineering and the 2022 Outstanding Reviewer Award from ASM International, USA. Recognized as one of the World's Top 2% Scientists by Stanford University, his influence expands beyond academia, with honorary professorships in China, India, and Spain and roles as an evaluator for prestigious bodies like the ERC-European Research Council.