Smart Automated Fiber Placement

Precision, Performance, and Manufacturing Integration
Erscheinungsjahr 2027
ISBN: 978-3-032-47632-6
Verlag: Springer

Buch, Englisch, 422 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Series in Advanced Manufacturing

This book is a comprehensive guide to one of the most advanced methods for creating lightweight, high-strength materials in modern manufacturing. The book explains the principles and applications of Smart Automated Fiber Placement (AFP) in industries such as aerospace, aeronautics, automotive, and energy, showing how robotics and automation can precisely lay fibers to achieve superior structural performance.

This book is distinguished by its clear explanations supported by illustrations, diagrams, and tables, making complex concepts accessible to both engineers and non-specialists. Readers will find detailed coverage of high-precision positioning, trajectory planning, ply layup, collision-aware motion, and integration with additive manufacturing, along with practical examples and step-by-step guidance. It also emphasizes real-world applications, research gaps, and future trends, including Industry 4.0, digital twins, and sustainable manufacturing.

Each chapter concludes with learning outcomes and review questions, reinforcing understanding and enabling readers to apply concepts in practical settings. Whether you are a professional seeking to implement AFP in advanced manufacturing, a researcher exploring new materials and processes, or a student interested in the future of automated production, this book provides a practical, visual, and forward-looking resource to understand and harness the full potential of Smart Automated Fiber Placement.

Zielgruppe

Graduate

Autoren/Hrsg.

Hammad, Muhammad

Wang, Xiaoping

Faraz, Muhammad Iftikhar

Hussain, Ghulam

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Astronautik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)

Inhaltsverzeichnis

Part 1: Introduction and historical context.- Introduction to smart automated fiber placement.- Historical context and evolution of smart automated fiber placement.- Fundamentals of composite materials for smart automated fiber placement.- Part 2: High-precision positioning and trajectory planning.- Geometry understanding and precision positioning for blade AFP.- Ply layup-angle control and steering constraints.- Collision-aware planning and safe motion execution.- Part 3: High-stiffness, lightweight structural design.- Accuracy-driven stiffness requirements and structural performance targets.- Lightweight structural architecture and topology for short-range AFP equipment.- Materials and manufacturing routes for high stiffness and low mass.- Structural dynamics control: Vibration, thermal stability, and integrated mechatronic co-design.- Part 4: New integrated additive-manufacturing process.- Lattice-core design and additive manufacturing for AFP-ready sandwich structures.- AFP layup of continuous-fiber face sheets on complex AM lattice cores.- One-cycle integration: Co-consolidation and co-bonding of core + face sheets.- Performance validation, reliability, and scalable manufacturing for integrated AM–AFP structures.- Part 5: Industrial maturity and future outlook.- Maturity, applications and quality assurance of automated fiber placement.- Future outlook and trends of automated fiber placement.

Über Autor(innen)

Dr. Muhammad Hammad is currently serving as a postdoctoral research fellow at the Faculty of Aerospace Manufacturing Engineering, Nanjing University of Aeronautics and Astronautics, China. He earned his bachelor’s and master’s degrees in the Faculty of Mechanical Engineering from the University of Engineering and Technology, Lahore, followed by a Ph.D. in the same field from the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Topi, Pakistan. Dr. Hammad’s research focuses on Industry 4.0, Industry 5.0, Smart Manufacturing, and the Security of Industrial Internet of Things (IIoT). He has authored multiple books, reflecting his deep engagement with emerging technologies. His work exemplifies the innovative spirit driving modern engineering and technological advancement.

Prof. Wang Xiaoping is a professor at the School of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics (NUAA). He earned his Ph.D. from the Department of Aerospace Manufacturing Engineering at Northwestern Polytechnical University in 2002. He has served as a visiting professor at Arizona State University, USA, and currently acts as a consulting expert for the Chinese Academy of Engineering. He is also a member of the editorial board of the international journal and Reviews. Prof. Wang’s research focuses on digital design and manufacturing, automated fiber placement/tape laying for composites, robotic path planning, and optimization of mathematical models in intelligent manufacturing. He has received three awards at the provincial or ministerial level, holds three authorized invention patents, and has published three books. His academic output includes over 100 papers, with 63 indexed in SCI and EI.

Dr. Muhammad Iftikhar Faraz received his Ph.D. in Mechanical Engineering from Delft University of Technology in 2013. Since graduation he has worked in various institutes at academic and research roles. Currently working as an associate professor at King Faisal University in the Department of Mechanical Engineering. His research broadly focused on manufacturing processes and materials engineering to investigate property-structure relationships, mathematical modeling of material behavior, process optimization, and intelligent manufacturing systems. 

Dr. Ghulam Hussain is a full professor of Mechanical Engineering with extensive experience in both academia and industry. He is widely recognized for his contributions to manufacturing science, with expertise spanning additive and hybrid manufacturing, sustainable manufacturing, metal forming, welding, material characterization, process modeling and optimization, and surface engineering. Dr. Hussain has authored over 145 scholarly articles and edited multiple books published by Taylor & Francis. His work has received over 5,550 citations, with an H-index of 41. He ranks among the top 10 researchers globally in Incremental Forming and is the 6th top researcher nationally in Engineering. Since 2021, he has consistently been listed among the world’s top 2% scientists. He collaborates actively with leading universities worldwide and serves as an editor and board member for several prestigious international journals.