Department Of Energy Funds Supercomputers To Help Manufacturing in America

Please follow and like us:
Follow by Email
Visit Us
Follow Me

Nowadays, pretty much every business relies on technical computer components such as J9986A HP to ensure their network remains stable and easily expandable. However, some industries are being left in the dark when it comes to new technologies and manufacturing is one of them.

The U.S. Department of Energy (DOE), in partnership with Lawrence Livermore National Laboratory, has announced it has awarded almost $3 million in funding for projects aimed at giving manufacturers access to supercomputers.

The new program named the High-Performance Computing for Manufacturing (HPC4Mfg) program is designed to allow manufacturers to use DOE’s supercomputers to boost their production process. Tasks such as design, product quality improvements, performance, and failure predictions, decreased energy consumption and shorter testing cycles.

Projects will be evaluated by Lawrence Livermore National Laboratory and once approved, each will receive up to $300,000 to cover costs associated with using the supercomputers as well as personnel to provide technical support.

The following projects have been selected for the latest round of funding:

3M – This project will optimize the design of emissive films on building windows for cooling via modeling of glass bead filled polymers.

3M – This project will minimize energy consumption of the fiber spinning manufacturing process using computational fluid dynamics (CFD) and machine learning.

Alliance for Pulp & Paper Technology – This project will help create a fundamental understanding of alkali reactivity with wood components using molecular modeling.

Arconic, Inc. – This project will study the thermomechanics of micro-pores during the rolling process of aluminum slabs to improve yield.

GE Global Research Center – This project will extend GE Global Research Center’s TRUCHAS model to large-scale casting simulation of turbine blades.

KeraCel – This project will model a new plan to push energy density in Li batteries with lithium oxide garnet with the goal of lowering the required temperature to reduce porosity in sintering.

Seurat Technologies – This project will use the ALE3D software to optimize Seurat’s innovative laser energy flux distribution to reduce spatter during laser powder bed fusion.

SFP Works, LLC – This project will use computational effort to understand phase transformations that occur during the flash heat treating process in order to better control parameters to obtain the desired phase distribution and chemistry.

Steel Manufacturing Simulation and Visualization Consortium – This project will create a shared database of heat exchange in 140 steel reheat furnaces whose inconsistencies lead to significant energy loss.

The Dow Chemical Company – This project will model methods to reduce the thermal conductivity of Dow’s insulating foam polyurethane products while using less polymer in products.

Transient Plasma Systems – This project will build a comprehensive numerical model for use in understanding and optimizing key parameters in electrical pulse generation of plasmas for dilute burn combustion.

United Technologies Research Center – This project will develop a novel heat treatment scheme that eliminates deleterious phases from the microstructure additively manufactured aerospace components while reducing the annealing time.

VAST Power Systems, Inc. – This project will optimize gas turbine combustors by developing and validating surrogate models using CFD.

For more information visit