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
Published on 7. August 2025
101 pages
978-1-040-60126-6 (ISBN)
Description
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.
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.
More details
Edition
Digital original
Language
English
Place of publication
London
United Kingdom
Edition type
Digital original
File size
13,07 MB
ISBN-13
978-1-040-60126-6 (9781040601266)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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, Universita Politecnica delle Marche, Ancona, Italy. Attilio Lattanzi, California Institute of Technology, Pasadena, USA. Francois Hemez, Lawrence Livermore National Laboratory, Livermore, USA. Mostafa Mirshekari, Carnegie Mellon University, Pittsburgh, USA. Austin Downey, University of South Carolina, Columbia, USA.
Content
Preface, Quantifying Residual Stresses Generated by Laser-Powder Bed Fusion of Metallic Samples, Loading-Unloading Compressive Response and Energy Dissipation of Liquid Crystal Elastomers and Their 3D Printed Lattice Structures at Various Strain Rates, Residual Stress Induced in Thin Plates During Additive Manufacturing, Investigating the Effects of Acetone Vapor Treatment and Post Drying Conditions on Tensile and Fatigue Behavior of 3D Printed ABS Components, Mechanics of Novel Double-Rounded-V Hierarchical Auxetic Structure: Finite Element Analysis and Experiments Using Three-Dimensional Digital Image Correlation, Repeatability of Residual Stress in Replicate Additively Manufactured 316L Stainless Steel Samples, Acoustic Non-destructive Characterization of Metal Pantographs for Material and Defect Identification, Rapid Prototyping of a Micro-Scale Spectroscopic System by Two-Photon Direct Laser Writing, Bioinspired Interfaces for Improved Interlaminar Shear Strength in 3D Printed Multi-material Polymer Composites, Thermo-mechanical Characterization of High-Strength Steel Through Inverse Methods, A Multi-testing Approach for the Full Calibration of 3D Anisotropic Plasticity Models via Inverse Methods, Finite Element Based Material Property Identification Utilizing Full-Field Deformation Measurements, Data-Driven Material Models for Engineering Materials Subjected to Arbitrary Loading Paths: Influence of the Dimension of the Dataset, Data-Driven Methodology to Extract Stress Fields in Materials Subjected to Dynamic Loading.
