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Author:   Matthew S. Allen ,  Walter D'Ambrogio ,  Dan Roettgen
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Weight:   0.557kg
ISBN:  

9783030759094

ISBN 10:   3030759091
Pages:   106
Publication Date:   21 September 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1. Super Resolution Optical Microscopy to Detect Virus (SARS-CoV-2) in Real Time.- Chapter 2. Mesostructure Evolution During Powder Compression: Micro-CT Experiments and Particle-Based Simulations.- Chapter 3. Surface Pressure Reconstruction in Shock Tube Tests Using the Virtual Fields Method.- Chapter 4. Stress Concentration Evaluation of a Plate with Symmetrical U-notches Under Tensile Load Using TSA and a Lepton IR Camera.- Chapter 5. Evaluation of Thermal Deformation of Fastening Structure of Carbon Fiber Reinforced Plastic and Aluminum Using Stereo Image Correlation.- Chapter 6. Full-field Analysis of Strain-induced Crystallization in Natural Rubber.- Chapter 7. Evaluating Pulse Simulator Using Fluorescent DIC.- Chapter 8. Predicting Temperature Field in Powder-Bed Fusion (PBF) Additive Manufacturing Process Using Radial Basis Neural Network (RBNN).- Chapter 9. Thermoelastic Characterization of 3D Printed Thermoplastic Elastomers.- Chapter 10. Reduction of Micro-crack in Ni-based Superalloy IN-713LC Produced by Laser Powder Bed Fusion.- Chapter 11. Thermomechanical Analysis of Shape Memory Polymers in Equi-Biaxial Condition by Means of Hydraulic Bulge Test.- Chapter 12. Inverse Identification of the Post-necking Behavior of Metal Samples Produced with Additive Manufacturing.- Chapter 13. Heat Source Reconstruction Applied to Fatigue Characterization Under Varying Stress Amplitude.- Chapter 14. Analysis of the Thermomechanical Response of a Rubber-like Granular Material.- Chapter 15. Which Pattern for a Low Pattern-induced Bias.

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Author Information

Matthew Allen, University of Wisconsin, WI, USA;  Walter D'Ambrogio,  University of L’Aquila, L’Aquila, Italy; Dan Roettgen, Sandia National Laboratories, NM, USA.

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