Abstract

An industry-led research team at the US Department of Energys Argonne National Laboratory recently conducted a computationally guided combustion system optimization on the IBM Blue Gene/Q Mira supercomputer. The team used a high-fidelity simulation approach to optimize the fuel spray and combustion bowl geometry of a heavy-duty diesel engine using a gasoline-like fuel. The accelerated simulation time allowed the team to evaluate an unprecedented number of design variations and improve the production design using a new fuel.

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