Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4: Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics

Kramer, Sharlotte L.B.; Retzlaff, Emily; Thakre, Piyush; Hoefnagels, Johan; Rossi, Marco; Lattanzi, Attilio; Hemez, François; Mirshekari, Mostafa; Downey, Austin

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

Details

Published by: Springer

Publication Date: 2024-02-20

Format: Hardcover

ISBN-13: 9783031504730

DOI: 10.1007/978-3-031-50474-7

Dimensions: 279.0cm x210.0cm

Pages: 102.0