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
1. Auflage 2024
ISBN: 978-3-031-50473-0
Verlag: Springer

Buch, Englisch, 122 Seiten, Format (B × H): 215 mm x 285 mm, Gewicht: 548 g

Reihe: Conference Proceedings of the Society for Experimental Mechanics Series

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

Zielgruppe

Research

Autoren/Hrsg.

Kramer, Sharlotte L. B.

Retzlaff, Emily

Thakre, Piyush

Hoefnagels, Johan

Rossi, Marco

Lattanzi, Attilio

Hemez, François

Mirshekari, Mostafa

Downey, Austin

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Chapter 1 Quantifying residual stresses generated by laser powder bed fusion of metallic samples Chapter 2 Loading-Unloading Compressive Response and Energy Dissipation of Liquid Crystal Elastomers and Their 3D Printed Lattice Structures at Low and Intermediate Strain Rates
Chapter 3 Residual Stress Induced in Thin Plates During Additive Manufacturing Chapter 4 Investigating the Effects of Acetone Vapor Treatment and Post Drying Conditions on Tensile and Fatigue behavior of 3D Printed ABS Components Chapter 5 Mechanics of Novel Double-Rounded-V Hierarchical Auxetic Structure - Finite Element Analysis and Experiments Using Three-dimensional Digital Image Correlation Chapter 6 Repeatability of Residual Stress in Replicate Additively Manufactured 316L Stainless Steel Samples Chapter 7 Acoustic nondestructive characterization of metal pantographs for material and defect identification Chapter 8 Rapid prototyping of a micro-scale spectroscopic system by
two-photon direct laser writing Chapter 9 Bioinspired Interfaces for Improved Interlaminar Shear Strength in 3D Printed Multi-Material Polymer Composites Chapter 10 Thermo-mechanical Characterization of High-strength Steel
 through Inverse Methods Chapter 11 A multi-testing approach for the full calibration of 3D anisotropic plasticity models via inverse methods Chapter 12 Finite Element Based Material Property Identification Utilizing Full-Field Deformation Measurements Chapter 13 Data-driven material models for engineering materials subjected to arbitrary loading paths: influence of the dimension of the dataset  Chapter 14 Data-driven methodology to extract stress fields in materials subjected to dynamic loading

Über Autor(innen)

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