Del i serien Springer Series in Advanced Manufacturing

Digital Twins in Manufacturing

Virtual and Physical Twins for Advanced Manufacturing

Häftad, Engelska, 2023

AvVytautas Ostaševičius

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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.

Produktinformation

Utgivningsdatum2023-04-02
Mått155 x 235 x 23 mm
Vikt564 g
FormatHäftad
SpråkEngelska
SerieSpringer Series in Advanced Manufacturing
Antal sidor358
FörlagSpringer Nature Switzerland AG
ISBN9783030982775

Tillhör följande kategorier

Maskinteknik och material inom Naturvetenskap och teknik
Projektledning inom Ekonomi och Ledarskap
CAD-program inom Data och IT

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.

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.