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.



Autorentext

Sharlotte L.B. Kramer, Sandia National Laboratories, Albuquerque, USA. Emily Retzlaff, United States Naval Academy, Annapolis, USA. Piyush Thakre, Dow Inc., Lake Jackson, USA. Johan Hoefnagels, Eindhoven University of Technology, Eindhoven, The Netherlands. Marco Rossi, Università Politecnica delle Marche, Ancona, Italy. Attilio Lattanzi, California Institute of Technology, Pasadena, USA. François Hemez, Lawrence Livermore National Laboratory, Livermore, USA. Mostafa Mirshekari, Carnegie Mellon University, Pittsburgh, USA. Austin Downey, University of South Carolina, Columbia, USA.

Titel
Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4
Untertitel
Proceedings of the 2023 Annual Conference on Experimental and Applied Mechanics
EAN
9788743806486
Format
E-Book (pdf)
Genre
Veröffentlichung
07.08.2025
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
10.44 MB
Anzahl Seiten
101