CONVERGE Plays a Prominent Role in the 2016 DOE Merit Review

The U.S. Department of Energy held its Annual Merit Review for the Hydrogen and Fuel Cells Program and the Vehicle Technologies Office on June 6–10, 2016, in Washington, D.C.

CONVERGE was used in numerous analyses at national laboratories including Oak Ridge, Argonne, Sandia, and Lawrence Livermore. Links to these presentations are provided below. These projects demonstrate the innovative combustion CFD research that is being performed with CONVERGE by world-leading researchers.

ACE001: Heavy-Duty Low-Temperature and Diesel Combustion & Heavy-Duty Combustion Modeling

Spray Combustion Cross-Cut Engine Research

Model Development and Analysis of Clean & Efficient Engine Combustion

High Efficiency Clean Combustion in Multi-Cylinder Light-Duty Engines

Accelerating predictive simulation of IC engines with high performance computing (ACE017)

Advancements in Fuel Spray and Combustion Modeling with High Performance Computing Resources

Improved Solvers for Advanced Engine Combustion Simulation

High Efficiency GDI Engine Research with Emphasis on Ignition Systems

Applied Computational Methods for New Propulsion Materials

The reviewers come from a variety of backgrounds and evaluate projects based on how much they contribute to or advance the Energy Department’s missions and goals. The final reviews are described in the Vehicle Technologies Office Annual Merit Review Reports and will be published later this year.

About Convergent Science

Founded in 1997 in Madison, Wisconsin, Convergent Science is a global leader in computational fluid dynamics (CFD) software. Its customers include leading automotive and commercial vehicle manufacturers, tier one suppliers, and professional motorsport teams.
Its flagship product, CONVERGE, includes groundbreaking technology that eliminates the user-defined mesh, fully couples the automated mesh and the solver at runtime, and automatically refines the mesh when and where it is needed. CONVERGE is revolutionizing the CFD industry and shifting the paradigm towards predictive CFD.
Published July 19, 2016