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=Internal combustion engine flows for motored operation=
=Internal combustion engine flows for motored operation=
'''Application Challenge AC2-10'''   © copyright ERCOFTAC {{CURRENTYEAR}}
'''Application Challenge AC2-10'''   © copyright ERCOFTAC {{CURRENTYEAR}}
==Abbreviations==  
==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 & hight 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\\
 
==Introduction==  
==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
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

Revision as of 13:31, 9 October 2018

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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 & hight 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\\

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).

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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