LES of Flow Processes in an SI Engine Using Two Approaches: OpenFoam and PsiPhi

Моделирование вихревых течений методом LES в двигателе с искровым зажиганием с использованием двух подходов: OpenFOAM и PsiPhi
Thuong Nguyen, Peter Janas, Tommaso Lucchini, Gianluca D’Errico, Sebastian A. Kaiser, Andreas Kempf
2014-04-01

OpenFOAMPsiPhilarge eddy simulationparticle image velocimetryspark-ignition engines
In this study two different simulation approaches to large eddy simulation of spark-ignition engines are compared. Additionally, some of the simulation results are compared to experimentally obtained in-cylinder velocity measurements. The first approach applies unstructured grids with an automated meshing procedure, using OpenFoam and Lib-ICE with a mapping approach. The second approach applies the efficient in-house code PsiPhi on equidistant, Cartesian grids, representing walls by immersed boundaries, where the moving piston and valves are described as topologically connected groups of Lagrangian particles. In the experiments, two-dimensional two-component particle image velocimetry is applied in the central tumble plane of the cylinder of an optically accessible engine. Good agreement between numerical results and experiment are obtained by both approaches.
1
Both simulation approaches achieve good agreement with experimentally measured in-cylinder velocity fields.
2
The OpenFOAM/Lib-ICE approach uses unstructured grids with automated meshing and a mapping procedure for engine simulations.
3
The PsiPhi approach uses efficient equidistant Cartesian grids, immersed-boundary walls, and Lagrangian-particle representations of moving pistons and valves.
4
The study compares two large-eddy simulation approaches for spark-ignition engine flow processes using OpenFOAM/Lib-ICE and the in-house PsiPhi code.
5
Two-dimensional, two-component particle image velocimetry measures in-cylinder velocities in the central tumble plane of an optically accessible engine.

In-cylinder flow processes in a spark-ignition engine

Large-eddy-simulation prediction of in-cylinder velocity fields and agreement with particle-image-velocimetry measurements using OpenFoam and PsiPhi approaches

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Publication Date
2014-04-01
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Authors
Thuong Nguyen
Peter Janas
Tommaso Lucchini
Gianluca D’Errico
Sebastian A. Kaiser
Andreas Kempf
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