Digital Twins in Manufacturing

Virtual and Physical Twins for Advanced Manufacturing
1. Auflage 2022
ISBN: 978-3-030-98274-4
Verlag: Springer International Publishing

Buch, Englisch, 358 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 723 g

Reihe: Springer Series in Advanced Manufacturing

This book presents a guide to digital twin technologies and their applications within manufacturing. It examines key technological advances in the area of Industry 4.0, including numerical and experimental models and the Internet of Things (IoT), and explores their potential technical benefits through real-world application examples. This book presents digital models of advanced manufacturing processes dynamics that enable to control the cutting processes including experimental and simulation studies for brittle-ductile transition of ultra-precision machining materials assuring product quality. Innovative electrical power harvesting solutions from tool vibrations and wireless data transmission from confined and heavily cooled environment are also included. It explains the benefits of virtual and physical twins adapted to real systems, including the ability to shorten the product's path to the market, and enabling the transition to higher value-added manufacturing processes. Including numerous illustrations and clear solved problems, this book will be of interest to researchers and industry professionals in the fields of mechatronics, manufacturing engineering, computational mechanics.

Zielgruppe

Research

Autoren/Hrsg.

Osta¿evi¿ius, Vytautas

Ostaševicius, Vytautas

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik

Inhaltsverzeichnis

Chapter 1. The State-of-the-Art in the Theoretical and Practical Applications of the Digital Twins Components.- Chapter 2. Digital Twins for Cutting Tools.- Chapter 3. Integration of Digital and Physical Data to Process Difficult-to-Cut Materials.- Chapter 4. Wireless Connectivity Options for Tool Condition Monitoring IoT Applications.- Chapter 5. Digital Twin Driven Technological Process Monitoring for Edge Computing and Cloud Manufacturing Applications.

Über Autor(innen)

Prof. dr. Hab. Vytautas Ostasevicius is currently a director of the Institute of Mechatronics at Kaunas University of Technology (KTU), member of the Lithuanian and Royal Swedish Academies of sciences, expert of the European Commission for HORIZON-2020 for Factories of the Future and "Eurostars" applications, “Eureka, Grand Solution Application(s) (Danemark)” projects evaluation, and chairman of the International Federation of Theory of Machines and Mechanisms (IFToMM) national committee. He has conducted 10 international and 10 national research projects, and supervised 18 Ph.D. students. He is the author and coauthor of 300 scientific papers, 6 monographs (two of them edited in Springer), 45 patents/inventions. His current research interests include dynamics and optimization of structures, precision manufacturing technologies, “Industry 4.0” applications, MEMS.