About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
|
Symposium
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High Temperature Oxidation of Metals and Ceramics
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Presentation Title |
Advanced Characterization of Hot Stress Corrosion Cracking in CMSX-4 Turbine Blade Alloys Using Deep Learning-assisted 3D X-ray Microscopy to Reveal High Temperature Fracture and Crack Arrest Mechanisms |
Author(s) |
Andy Holwell, Maadhav Kothari, Hrishikesh Bale, Simon Gray, Jonathan Leggett |
On-Site Speaker (Planned) |
Andy Holwell |
Abstract Scope |
Single crystal nickel superalloys are typically used in power generation and aviation due to their unique properties. Recently, incidents of failure at increased temperature has caused Type II hot corrosion leading to cracking in blade roots, resulting in catastrophic failure. Understanding failure mechanism and crack characterization is critical.
After exposing a salted C-ring specimen to 500°C air for 92 hours, we demonstrate a novel X-ray microscopy workflow using deep learning-based algorithms for data reconstruction and segmentation, combined with scanning electron microscopy in order to study cracks, crack tips and crack arrest points developed during stress corrosion cracking and their relation to the crystalline microstructure.
By extracting the fracture tip, both crystal plasticity and crystal deformity can be studied in detail resulting in orientation tomography of the corroded region. Using this correlative workflow we are able to identify structural defects and fracture mechanisms previously not visible from traditional CT. |