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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
Title
Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 [electronic resource] : Proceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics / edited by Sharlotte L.B. Kramer, Emily Retzlaff, Piyush Thakre, Johan Hoefnagels, Marco Rossi, Attilio Lattanzi, François Hemez, Mostafa Mirshekari, Austin Downey.
ISBN
9783031504747
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (VII, 102 p.) 86 illus., 73 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
March 01, 2024
Series
Conference Proceedings of the Society for Experimental Mechanics Series,
Contents
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.
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