Digital Twins in Manufacturing

Virtual and Physical Twins for Advanced Manufacturing

AvVytautas Ostaševičius

Inbunden, Engelska, 2022

Del i serien Springer Series in Advanced Manufacturing

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Häftad

1 907 kr

Beskrivning

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

Utgivningsdatum:2022-04-01
Mått:155 x 235 x 26 mm
Vikt:723 g
Format:Inbunden
Språk:Engelska
Serie:Springer Series in Advanced Manufacturing
Antal sidor:358
Förlag:Springer Nature Switzerland AG
ISBN:9783030982744

Utforska kategorier

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

Mer om författaren

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.

Innehållsförteckning

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.