About this Abstract |
Meeting |
TMS Specialty Congress 2025
|
Symposium
|
The 7th International Congress on 3D Materials Science (3DMS 2025)
|
Presentation Title |
Characterization of Hierarchical Microstructures of TiC Reinforced Nickel Matrix Composites using Deep-Learning assisted 3D X-ray Microscopy |
Author(s) |
Kaushik Yanamandra, Hrishikesh Bale, Rajarshi Banerjee |
On-Site Speaker (Planned) |
Kaushik Yanamandra |
Abstract Scope |
Metal Matrix Composites (MMCs) are increasingly important in materials science due to their exceptional properties and applications. Ni-Ti-C based MMCs, produced via laser engineered net shaping (LENS), feature unique microstructures with titanium carbide (TiC) reinforcing a nickel matrix. This study leverages high-resolution, non-destructive X-ray microscopy to analyze MMC microstructures at the sub-micron level, revealing the spatial distribution and alignment of reinforcing phases. Some TiC phases are near the detection limit of X-ray microscopy, necessitating a combination of high-resolution objectives and deep learning-based 3D reconstruction to push the resolution and contrast limit. We present results from a 3D characterization of complex MMC microstructure where in the individual matrix and reinforcing phases have been discerned across multiple scales. The findings highlight X-ray microscopy’s crucial role in understanding and optimizing MMC performance, paving the way for advanced design and engineering. |
Proceedings Inclusion? |
Undecided |