05465nam 22007695 450 991083827940332120240307124807.087-438-0420-987-438-0052-13-031-50474-710.1007/978-3-031-50474-7(MiAaPQ)EBC31169172(Au-PeEL)EBL31169172(DE-He213)978-3-031-50474-7(CKB)30464659000041(OCoLC)1424749214(EXLCZ)993046465900004120240219d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdditive 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 /edited by Sharlotte L.B. Kramer, Emily Retzlaff, Piyush Thakre, Johan Hoefnagels, Marco Rossi, Attilio Lattanzi, François Hemez, Mostafa Mirshekari, Austin Downey1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (101 pages)Conference Proceedings of the Society for Experimental Mechanics Series,2191-56523-031-50473-9 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-photondirect 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.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.Conference Proceedings of the Society for Experimental Mechanics Series,2191-5652Industrial engineeringProduction engineeringMachine learningArtificial intelligenceData processingMaterialsAnalysisIndustrial and Production EngineeringMachine LearningData ScienceMaterials Characterization TechniqueIndustrial engineering.Production engineering.Machine learning.Artificial intelligenceData processing.MaterialsAnalysis.Industrial and Production Engineering.Machine Learning.Data Science.Materials Characterization Technique.670Kramer Sharlotte L. B1726326Retzlaff Emily1726327Thakre Piyush1726328Hoefnagels Johan1726329Rossi Marco307761Lattanzi Attilio1726330Hemez François1460542Mirshekari Mostafa1726331Downey Austin1726332MiAaPQMiAaPQMiAaPQBOOK9910838279403321Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 44132047UNINA