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Journal Articles

Creep Lifetime Prediction of Alloy 617 Using Black Box Machine Learning Approach

Md Abir Hossain, Calvin M. Stewart
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. April 2025, 147(4): 041024.
Paper No: GTP-24-1545
https://doi.org/10.1115/1.4066600
Published Online: November 5, 2024
...Md Abir Hossain; Calvin M. Stewart This study explored the application of black box machine learning (ML) to build high throughput models that predict the creep response of Ni-based Alloy 617. Black box ML refers to highly complex machine learning algorithms that generate outputs from inputs...
View Article titled, Creep Lifetime Prediction of Alloy 617 Using <span class="search-highlight">Black</span> <span class="search-highlight">Box</span> Machine Learning Approach
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Topics: Algorithms, Alloys, Artificial neural networks, Creep, Machine learning, Rupture, Chemistry, Testing, Stress