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DOE OSTI · 3000502

AI-Driven Accelerated Inclusion Analysis for Energy Efficient Steelmaking (Final CRADA Report)

Castillo, Vic [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]·Hu, Yeping [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]·Chukwulebe, Bernard [ArcelorMittal USA Research LLC, East Chicago, IN (United States)]·Bhattacharya, Tathagata [ArcelorMittal USA Research LLC, East Chicago, IN (United States)]
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Abstract

This was a collaborative effort between Lawrence Livermore National Security, LLC (LLNS) as manager and operator of Lawrence Livermore National Laboratory (LLNL) and ArcelorMittal USA Research LLC (“ArcelorMittal” as the Participant), to use scanning electron microscopy (SEM) images, computer vision and machine learning methods, and high-performance computing to accelerate the inclusion analysis process of liquid steel so that new methods can be used for near-real time process control on the shop floor.

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36 MATERIALS SCIENCE97 MATHEMATICS AND COMPUTING

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Castillo, Vic [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Hu, Yeping [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Chukwulebe, Bernard [ArcelorMittal USA Research LLC, East Chicago, IN (United States)], Bhattacharya, Tathagata [ArcelorMittal USA Research LLC, East Chicago, IN (United States)]. 2025-10-31. AI-Driven Accelerated Inclusion Analysis for Energy Efficient Steelmaking (Final CRADA Report). https://doi.org/10.2172/3000502

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36 MATERIALS SCIENCE↗