extrapolation of the full engine map based on few ...diesel engine performance mapping - results...
TRANSCRIPT
Extrapolation of the full engine map based on few experimental data – DI-Diesel engine
Andrea Matrisciano1, Michal Pasternak1,2, Fabian Mauss1,2
1 Lund Combustion Engineering, LOGE AB 2 Brandenburg University of Technology
www.logesoft.com
Feature Overview
LOGEengine’s DI-SRM model can be used to extrapolate the full engine map based on a few measured operating conditions
It can be run in stand alone mode or coupled to your exitsting GT-
POWER setup
The intuitive and robust GUI allows for fast integration of LOGEengine across various stages of engine developments • Engine prototyping evaluation • Combustion engine research • Engine calibration
Advantages compared to other tools on the market
• Accurate prediction of pollutant emissions (such as HC, NOx and Soot) • Characterization and of complex fuel blends (bioDiesel, dual-fuel ) • Turublence-Chemistry interaction is accounted for.
LOGEengine 3.0 2
0-D Engine modeling framework
Direct Injection Stochastic Reactor Model (DI-SRM)
In-cylinder content as ensemble of particles Local in-homogeneities (T, Y) and detailed chemistry Transport equation for Mass Density Function (F(ψ))
1
2
1
... ( ; )S
S
F t
T +
= φ
ψψ
ψψ
LOGEengine 3.0 3
Particle interaction modeling
Curl (particle interaction model)
φ 𝑝𝑝 𝑡𝑡 + ∆𝑡𝑡 = φ 𝑞𝑞 𝑡𝑡 + ∆𝑡𝑡 = 12
(φ 𝑝𝑝 𝑡𝑡 + φ 𝑞𝑞 (𝑡𝑡))
• Mixing time (τ ) needs to be defined
𝜏𝜏 ≅ 𝜅𝜅 𝜀𝜀⁄
Fuel vaporization
CFD
LOGEengine 3.0 4
Study case – Diesel engine
Training and verification operating points
Training points Verification points
ni, mf,i
SOIopt SOIearly SOIlate
1 2 3
Fuel injection strategy for each OP
Speed
Load
n1 n2 n3 n4
mf1
mf2
mf3
mf4
1 5
7
8
13
Engine operated with single-shot fuel injection and given EGR rate
Varied parameters mass of injected fuel (mf)
engine speed (n)
start of injection (SOI)
Source: Pasternak M. et al. “Diesel Engine Performance Mapping Using the Stochastic Reactor Model” IAV 2nd Conference on Engine Processes, Berlin, 2015
LOGEengine 3.0 5
DI-SRM model training results
Low load, low speed Low load, mid. speed
Low load, high speed High load, mid. speed
LOGEengine 3.0 6
Mixing time parameterization
Overall characteristic • Correlations obtained for different SOI, different speed and load, constant
injection pressure, single shot injection and for a given fixed geometry • Correlations
verified for 3 different EGR values
• Values of SOI and τ1 for other conditions are obtained through interpolation between existing data
Source: Pasternak M. et al. “Diesel Engine Performance Mapping Using the Stochastic Reactor Model” IAV 2nd Conference on Engine Processes, Berlin, 2015
LOGEengine 3.0 7
Diesel engine performance mapping
Model training Method verification
Source: Pasternak M. et al. “Diesel Engine Performance Mapping Using the Stochastic Reactor Model” IAV 2nd Conference on Engine Processes, Berlin, 2015
LOGEengine 3.0 8
Diesel engine performance mapping - results
Combustion agreement over the full engine map
Source: Pasternak M. et al. “Diesel Engine Performance Mapping Using the Stochastic Reactor Model” IAV 2nd Conference on Engine Processes, Berlin, 2015
LOGEengine 3.0 9
For more information…
Pasternak, M., “Simulation of the Diesel Engine Combustion Process Using the Stochastic Reactor Model”, Ph.D. thesis, Brandenburg University of Technology BTU, ISBN 978-3-8325-4310-5, Logos Verlag, Berlin, Germany 2016
Franken, T. and Mauss, F., “Development of Methodology for Predictive Diesel Combustion Simulation Using 0D Stochastic Reactor Model”, SAE Technical Paper 2016-01-0566, 2016, doi: 10.4271/2016-01-0566.
LOGEengine 3.0 10