Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4
eBook - ePub

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

Proceedings of the 2023 Annual Conference on Experimental and Applied Mechanics

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eBook - ePub

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

Proceedings of the 2023 Annual Conference on Experimental and Applied Mechanics

About this book

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.

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Information

Publisher
River Publishers
Year
2025
eBook ISBN
9781040601266
Topic
Technology & Engineering
Index
Technology & Engineering

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Preface
  6. Table of Contents
  7. Quantifying Residual Stresses Generated by Laser-Powder Bed Fusion of Metallic Samples
  8. Loading-Unloading Compressive Response and Energy Dissipation of Liquid Crystal Elastomers and Their 3D Printed Lattice Structures at Various Strain Rates
  9. Residual Stress Induced in Thin Plates During Additive Manufacturing
  10. Investigating the Effects of Acetone Vapor Treatment and Post Drying Conditions on Tensile and Fatigue Behavior of 3D Printed ABS Components
  11. Mechanics of Novel Double-Rounded-V Hierarchical Auxetic Structure: Finite Element Analysis and Experiments Using Three-Dimensional Digital Image Correlation
  12. Repeatability of Residual Stress in Replicate Additively Manufactured 316L Stainless Steel Samples
  13. Acoustic Nondestructive Characterization of Metal Pantographs for Material and Defect Identification
  14. Rapid Prototyping of a Micro-Scale Spectroscopic System by Two-Photon Direct Laser Writing
  15. Bioinspired Interfaces for Improved Interlaminar Shear Strength in 3D Printed Multi-material Polymer Composites
  16. Thermo-mechanical Characterization of High-Strength Steel Through Inverse Methods
  17. A Multi-testing Approach for the Full Calibration of 3D Anisotropic Plasticity Models via Inverse Methods
  18. Finite Element Based Material Property Identification Utilizing Full-Field Deformation Measurements
  19. Data-Driven Material Models for Engineering Materials Subjected to Arbitrary Loading Paths: Influence of the Dimension of the Dataset
  20. Data-Driven Methodology to Extract Stress Fields in Materials Subjected to Dynamic Loading

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Yes, you can access Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 by Sharlotte L. B. Kramer,Emily Retzlaff,Piyush Thakre,Johan Hoefnagels in PDF and/or ePUB format. We have over 1.5 million books available in our catalogue for you to explore.