| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Characterization Techniques for Quantifying and Modeling Deformation
|
| Presentation Title |
NOW ON-DEMAND ONLY – Exploring Plastic Deformation and Color of Metals with Mathematical Morphology |
| Author(s) |
Michael V. Glazoff |
| On-Site Speaker (Planned) |
Michael V. Glazoff |
| Abstract Scope |
Mathematical morphology is employed for analysis and synthesis of plastic deformation and light scattering and diffraction in 2D and 3D. The well-established connection between surface topography, color, and visual brightness of deformed metals is explored to design “blue aluminum” via the effect of light scattering without diffraction (light traps). Other examples include a technique to evaluate the condition of a steel roll surface (important for rolling mill application), quantifying the effects of stretching, turning, and “orange peel” of deformed metallic surfaces. The proposed approach is nonlinear, multi-scale, general and, when used in conjunction with convolutional neural networks (CNNs), provides an interesting alternative/supplement to “deep learning”. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Surface Modification and Coatings, Other |