Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4: Proceedings of the 2023 Annual Con [Hardcover]

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

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 prlG