Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4: Proceedings of the 2023 Annual ... Society for Experimental Mechanics Series) - Hardcover

 
9783031504730: Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4: Proceedings of the 2023 Annual ... Society for Experimental Mechanics Series)
Hardcover
ISBN 10: 3031504739 ISBN 13: 9783031504730
Verlag: Springer, 2024

Inhaltsangabe

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of five from the Conference, brings together contributions to this important area of research and engineering.  The collection presents early findings and case studies on a wide range of topics and includes papers in the following general technical research areas:

AM Composites and Polymers

Dynamic Behavior of Additively Manufactured Materials and Structures

Joint Residual Stress and Additive Manufacturing

ML for Material Model Identification

Novel AM Structures

Novel Processing and Testing of Additively Manufactured Materials

Plasticity and Complex Material Behavior

Virtual Fields Method

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Sharlotte L.B. Kramer–Sandia National Laboratories, NM, USA; Emily Retzlaff–United States Naval Academy, MD, USA; Piyush Thakre–Dow Inc., TX,USA; Johan Hoefnagels–Eindhoven University of Technology, Netherlands; Marco Rossi–Università Politecnica delle Marche, Italy; Attilio Lattanzi–California Institute of Technology, CA, USA; François Hemez–Lawrence Livermore National Laboratory, CA, USA; Mostafa Mirshekari–Carnegie Mellon University, PA, USA; Austin Downey–University of South Carolina, SC, USA

Von der hinteren Coverseite

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of five from the Conference, brings together contributions to this important area of research and engineering.  The collection presents early findings and case studies on a wide range of topics and includes papers in the following general technical research areas:

AM Composites and Polymers

Dynamic Behavior of Additively Manufactured Materials and Structures

Joint Residual Stress and Additive Manufacturing

ML for Material Model Identification

Novel AM Structures

Novel Processing and Testing of Additively Manufactured Materials

Plasticity and Complex Material Behavior

Virtual Fields Method

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031504739
ISBN 13 
9783031504730
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
109
Herausgeber
Kramer Sharlotte L.B., Retzlaff Emily, Thakre Piyush, Hoefnagels Johan, Rossi Marco, Lattanzi Attilio, Hemez François, Mirshekari Mostafa, Downey Austin
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