Description AC2-10

From KBwiki
Jump to navigation Jump to search

Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice

Internal combustion engine flows for motored operation

Application Challenge AC2-10   © copyright ERCOFTAC 2024

Abbreviations

ALE Arbitrary Lagrangian-Eulerian
aTDC after top dead center
bTDC before top dead center
BDC bottom dead center
CA crank angle
CAD crank angle degreeCCD charge-coupled device
CCV cycle-to-cycle variation
CDS central differencing scheme
CFD computational fluid dynamics
CFL Courant-Friedrichs-Lewy
ENO Essentially Non-Oscillatory
ERG exhaust-gas-recirculation
EVC exhaust valve closing
EVO exhaust valve opening
HS-PIV high speed particle image velocimetry
IC internal combustion
IVC intake valve closing
IVO intake valve opening
LES large eddy simulation
MRV magnetic resonance velocimetry
PIV particle image velocimetry
POV field-of-view
QSOU quasi-second-order upwind
QUICK Quadratic Upwind Interpolation for Convective Kinematics
RANS Reynolds-averaged Navier-Stokes
RMS root mean square
RPM rounds per minute
SAS scale-adaptive simulation
SRS scale-resolving simulation
SST shear stress transport
TDC top dead center
TUBF Technische Universität Bergakademie Freiberg
TUD Technische Universität Darmstadt
TVD total variation diminishing
UDE Universität Duisburg-Essen
URANS unsteady Reynolds-averaged Navier-Stokes
WG wall-guided


Description

Introduction

The TU Darmstadt engine is an optically accessible single cylinder spark-ignition direct injection engine. It is embedded in an especially designed test bench to provide well characterized boundary conditions and reproducible engine operation. A reproducible engine operation is needed to characterize the variety of in-cylinder processes and is a prerequisite for any comparison of experiments and simulations. The in-cylinder processes are characterized using advanced laser-diagnostics to provide measurements at high spatial and temporal resolutions. The aim of this effort is, to build up a comprehensive data set

  • to give insights into the underlying physics for a better understanding of the relevant in-cylinder processes and
  • for the validation of CFD simulations especially for large eddy simulations (LES).


The validation of CFD simulations for IC engines requires a variety of physical and chemical quantities and a comprehensive dataset consisting of systematic hierarchical sub-datasets. Such a validation sequence typically starts with the comparison of the non-reacting flow field and increases complexity stepwise by the addition of processes such as, combustion of perfect homogeneous air/fuel mixtures, in-cylinder mixture preparation using direct-injection and combustion of these mixtures. The presented test case is part of an ongoing effort at TU Darmstadt aiming for a detailed characterization of engine combustion addressing the non-reacting flow field \cite{Baum2014,Baum2013,Zentgraf2016}, combustion of homogenous air/fuel mixtures \cite{Peterson2015} and mixture preparation by direct injection \cite{Peterson2017}. The here presented test-case includes the sub-dataset on the non-reacting flow field (motored engine operation) providing a comprehensive data set on the first two statistical moments of flow velocities, spatial flow structures, and the dynamics of the turbulent in-cylinder flow field. The following sections summarize the work which has been presented within \cite{Baum2014}. Further details on the experimental setup and flow field data can be found in \cite{Baum2014,Baum2013,Zentgraf2016}. Additionally, simulation results obtained from three investigations using LES (Large Eddy Simulation) and hybrid URANS (unsteady Reynolds-averaged Navier-Stokes)/LES described in section \ref{sec:simulation} are presented and compared with experimental data, see section \ref{sec:evaluation}.

Relevance to industrial sector

Design or assessment parameters

Engine test bench

The engine test bench allows conditioning the intake air in terms of pressure, temperature and gas composition, port fuel injection of liquid and gaseous fuels, direct-injection, as well as reliable boundary condition control and measurement. Further, the intake and exhaust systems were designed to provide reproducible thermodynamic and flow boundary conditions and simplified meshing for three-dimensional engine flow simulations. Figure \ref{fig:testbench} shows a schematic of the engine test bench from the intake to the exhaust plenum. It shows the locations for which thermodynamic conditions (pressure and temperature) were measured during engine operation.

AC2-10 testbench.png
Figure 2: Engine test bench.

Engine

Flow physics and Fluid Dynamics Data



Contributed by: Carl Philip Ding,Rene Honza, Elias Baum, Andreas Dreizler — Fachgebiet Reaktive Strömungen und Messtechnik (RSM),Technische Universität Darmstadt, Germany


Contributed by: Brian Peterson — School of Engineering, University of Edinburgh, Scotland UK


Contributed by: Chao He , Wibke Leudesdorff, Guido Kuenne, Benjamin Böhm, Amsini Sadiki, Johannes Janicka — Fachgebiet Energie und Kraftwerkstechnik (EKT), Technische Universität Darmstadt, Germany


Contributed by: Peter Janas, Andreas Kempf — Institut für Verbrennung und Gasdynamik (IVG), Lehrstuhl für Fluiddynamik, Universität Duisburg-Essen, Germany


Contributed by: Stefan Buhl, Christian Hasse — Fachgebiet Simulation reaktiver Thermo-Fluid Systeme (STFS), Technische Universität Darmstadt, Germany; former: Professur Numerische Thermofluiddynamik (NTFD), Technische Universität Bergakademie Freiberg, Germany

Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice


© copyright ERCOFTAC 2018