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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 /

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...

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Bibliografski detalji
Autor kompanije: SpringerLink (Online service)
Daljnji autori: Kramer, Sharlotte L.B (Urednik), Retzlaff, Emily (Urednik), Thakre, Piyush (Urednik), Hoefnagels, Johan (Urednik), Rossi, Marco (Urednik), Lattanzi, Attilio (Urednik), Hemez, François (Urednik), Mirshekari, Mostafa (Urednik), Downey, Austin (Urednik)
Format: Elektronički e-knjiga
Jezik:engleski
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Izdanje:1st ed. 2024.
Serija:Conference Proceedings of the Society for Experimental Mechanics Series,
Teme:
Industrial engineering.
Production engineering.
Machine learning.
Artificial intelligence > Data processing.
Materials > Analysis.
Industrial and Production Engineering.
Machine Learning.
Data Science.
Materials Characterization Technique.
Online pristup:https://doi.org/10.1007/978-3-031-50474-7
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  • 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.

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