Industrial PCs

Four high-performance computing projects selected for steel, aluminum manufacturers

The U.S. Department of Energy (DOE) announced nearly $1.2 million for four projects to support American steel and aluminum manufacturers in improving energy efficiency, increasing productivity, and accelerating manufacturing innovation.
By Department of Energy March 15, 2019
Courtesy: Katie Spain, CFE Media

The U.S. Department of Energy (DOE), in partnership with Lawrence Livermore National Laboratory (LLNL), announced nearly $1.2 million for four new projects to support American steel and aluminum manufacturers in improving energy efficiency, increasing productivity, and accelerating manufacturing innovation.

The funding announced today will provide advanced computing capabilities to improve manufacturing processes and resolve key manufacturing challenges through the use of high-performance computing (HPC). These projects were selected from the sixth solicitation for the High Performance Computing for Manufacturing (HPC4Mfg) program.

The HPC4Mfg program, supported by DOE’s Advanced Manufacturing Office, facilitates technical support from national laboratories, including access to supercomputing capabilities, high-end modeling and simulation software, and subject matter experts. From detailed atomic-level simulations to massive cosmological studies, researchers use HPC to solve science and technology challenges inaccessible by other experimental methods.

Selected projects will be awarded up to $300,000. Participating companies are required to contribute in-kind funds of at least 20% of DOE’s funding for the project.

The following companies were selected:

  • Alcoa (New Kensington, Pa.) – This project will use HPC simulations to understand and optimize the performance of Alcoa’s new advanced smelting cell to make aluminum from ore.
  • AK Steel (Dearborn, Mich.) – This project will use HPC simulations for real time modeling of hot-strip mill rolling to improve process operation.
  • ArcelorMittal (East Chicago, Ind.) – This project will use modeling and machine learning to enable the production of cleaner, higher-quality continuously cast steel slabs.
  • US Steel (Mumhall, Pa.) – This project will use physics-based modeling to improve predictions of the behavior of steel during hot-strip mill rolling for better quality.

The HPC4Mfg program is managed by Lawrence Livermore National Laboratory, with support from Oak Ridge National Laboratory and Lawrence Berkeley National Laboratory, and has supported more than 40 projects and provided more than $16 million for these public-private partnerships. Additionally, the National Renewable Energy Laboratory and Argonne National Laboratory provide computing cycles to support this program.

U.S. Department of Energy (DOE)

www.energy.gov

– Edited from a DOE press release by CFE Media. See more Control Engineering industrial PC stories.

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Read more about the individual projects.

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Department of Energy