About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Characterization Techniques for Quantifying and Modeling Deformation
|
| Presentation Title |
In-Situ Material Characterization of Steel Through High-Speed Imaging During Orthogonal Cutting |
| Author(s) |
Walaa Abd-Elaziem, John Reidy, Ian McCue |
| On-Site Speaker (Planned) |
Ian McCue |
| Abstract Scope |
Material deformation under high strain rates presents fundamental challenges that demand innovative real-time characterization techniques. This study develops an experimental framework combining high-speed imaging and Digital Image Correlation to investigate steel behavior during orthogonal cutting. An integrated measurement system captures dynamic strain evolution through optimized surface texturing achieved via sandblasting techniques. The methodology enables characterization of material deformation patterns from machining processes without conventional mechanical testing. Temporal analysis of strain localization patterns reveals material flow characteristics within the primary deformation zone. The experimental strain field data provides insights into material behavior that can inform constitutive modeling approaches and is validated through finite element model comparison. This approach advances fundamental understanding of steel plasticity during high-strain-rate manufacturing processes while providing enhanced experimental validation capabilities for improved process simulation accuracy. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Mechanical Properties, Computational Materials Science & Engineering |