Materials Proceedings, Volume 26, Issue 6

2025 IOCM 2025 - 1 articles

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Proceeding Paper

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11 Pages

Enhancing Predictive Accuracy of Novel Creep Model for Stainless Steel 316 Using AI-Driven Optimization and Machine Learning Methods

Mohsin Sattar and
Jan Hosek

Mater. Proc.2025, 26(6), 21;https://doi.org/10.3390/materproc2025026021

5 May 2026

The accurate prediction of creep deformation is essential for the reliable use of stainless steel 316 in high-temperature applications. Conventional creep models employ fixed material parameters and often fail to capture the evolving deformation mech...

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Mater. Proc. - ISSN 2673-4605

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