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HPC4Mfg Program Funds Four Steel and Aluminum Manufacturing Projects

Thursday, March 7, 2019  
Posted by: Lura Bobbitt
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The High Performance Computing for Manufacturing Program (HPC4Mfg) is pleased to announce the recipients of $1.2 million in federal funding for four public/private projects aimed at solving key manufacturing challenges in steelmaking and aluminum production through supercomputing.

The HPC4Mfg Solicitation Round 6 focused on applying the unparalleled high performance computing capabilities of the Department of Energy’s (DOE) national laboratories to steelmaking and aluminum production processes. Under the program, each selected industry partner will have access to the national labs’ HPC machines and expertise to help these industries become more competitive, boost productivity and support American manufacturing jobs.

Each of the four newly selected projects will receive up to $300,000 to support work performed by the national lab partners and allow the partners to use HPC compute cycles.

The four projects receiving funding are as follows:

Alcoa USA Corporation collaborating with Oak Ridge National Laboratory to use HPC simulations to understand and optimize the performance of Alcoa’s new advanced aluminum smelting cell.
AK Steel Corporation and Lawrence Livermore National Laboratory (LLNL) working to demonstrate real-time modeling of hot strip milling for next-generation steels.
A collaboration by ArcelorMittal USA and LLNL to apply HPC and machine learning to enable more energy-efficient, defect-free manufacturing of steel slabs.
United States Steel Corporation working with LLNL on a hot strip mill simulation model that will provide predictions of through-thickness temperature, deformation behavior, and associated microstructure. 

For a full list of project descriptions, please visit https://hpc4mfg.llnl.gov/projects-round6.php.
 
Stay tuned for information about the HPC4EnergyInnovation (HPC4EI) Spring 2019 Solicitation. Subscribe to the HPCEI mailing list at www.hpc4energyinnovation.org.

 

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