Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

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

Conference Proceedings of the Society for Experimental Mechanics Series

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

Editors:
 Sharlotte L.B. Kramer, The Society for Experimental Mechanics, Bethel, USA
Emily Retzlaff, The Society for Experimental Mechanics, Bethel, USA
Piyush Thakre, The Society for Experimental Mechanics, Bethel, USA
Johan Hoefnagels, The Society for Experimental Mechanics, Bethel, USA
Marco Rossi, The Society for Experimental Mechanics, Bethel, USA
Attilio Lattanzi, The Society for Experimental Mechanics, Bethel, USA
Francois Hemez, The Society for Experimental Mechanics, Bethel, USA
Mostafa Mirshekari, The Society for Experimental Mechanics, Bethel, USA
Austin Downey, The Society for Experimental Mechanics, Bethel, USA

e-ISBN: 9788743804208

Available: February 2024

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
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