Combustion Modeling in Heavy Duty Diesel Engines Using Detailed Chemistry and Turbulence-Chemistry Interaction

D’Errico, Gianluca; Lucchini, Tommaso; Hardy, Gilles; Tap, Ferry; Ramaekers, Wjs Giel

doi:10.4271/2015-01-0375

Cited by 14 publications

(17 citation statements)

References 43 publications

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“…However, due to the high shear stress created by spray, a vast distribution of scalar dissipation rate occurs throughout the domain. To take into account the spatial variation of scalar dissipation rate, Multiple Representative Interactive Flamelet (MRIF) approach is developed and tested for different conditions [9,10,11].…”

Section: Introductionmentioning

confidence: 99%

A Numerical Study on the Sensitivity of Soot and NOx Formation to the Operating Conditions in Heavy Duty Engines

Fatehi¹,

Wingren²,

Lucchini

et al. 2018

SAE Technical Paper Series

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I n this paper, computation fluid dynamics (CFD) simulations are employed to describe the effect of flow parameters on the formation of soot and NO x in a heavy duty engine under low load and high load. The complexity of diesel combustion, specially when soot, NO x and other emissions are of interest, requires using a detailed chemical mechanism to have a correct estimation of temperature and species distribution. In this work, Multiple Representative Interactive Flamelets (MRIF) method is employed to describe the chemical reactions, ignition, flame propagation and emissions in the engine. A phenomenological model for soot formation, including soot nucleation, coagulation and oxidation with O2 and OH is incorporated into the flamelet combustion model. Different strategies for modelling NO x are chosen to take into account the longer time scale for NO x formation. The numerical results are compared with experimental data to show the validity of the model for the cases under study. A good agreement is achieved between the model results and the pressure and heat release rate from the experiment. For soot and NO x , the model is able to correctly predict the trends between different cases. The effect of number of RIFs on the behaviour of the model is discussed. Downloaded from SAE International by Politecnico di Milano, Thursday, April 11, 2019 © SAE InternationalFIGURE 7 g/kWh of soot at the exhaust of the engine. Comparison between the model and the experiment.FIGURE 9 (a) Scatter plot of scalar dissipation rate in T-Z coordinate for HL1 cases, comparison between 1 and 12 RIFs, (b) Number of cells in the CFD domain for each T-Z point © SAE InternationalFIGURE 10 Soot volume fraction, soot formation and soot oxidation at 3 different time instances. © SAE International Downloaded from SAE International by Politecnico di Milano, Thursday, April 11, 2019 FIGURE 13 g/kWh of NO x at the exhaust of the engine. Comparison between the model and the experiment. © SAE International FIGURE 14 Mass fraction of NO vs temperature at 363 CAD for HL2 case; Behaviour of different modelling strategies on the NO formation.All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of SAE International.Positions and opinions advanced in this paper are those of the author(s) and not necessarily those of SAE International. The author is solely responsible for the content of the paper.

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Section: Introductionmentioning

confidence: 99%

A Numerical Study on the Sensitivity of Soot and NOx Formation to the Operating Conditions in Heavy Duty Engines

Fatehi¹,

Wingren²,

Lucchini

et al. 2018

SAE Technical Paper Series

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“…The so-called ANR boundary condition was considered to assess the spray and turbulence models. Grid size effects were not investigated since the mesh resolution is consistent with what was employed in past works by the authors to successfully simulate the combustion process in Diesel engines and at constant-volume conditions [31,33,48].…”

Section: Assessment Of Numerical Modelsmentioning

confidence: 99%

“…Fuel-air mixing simulations were carried out by using the Lib-ICE code, which is a set of libraries and solvers for IC engine modeling based on the OpenFOAM® technology. Over the years it was successfully applied to simulation of spray and combustion in direct-injection engines [31][32][33]. To describe atomization and secondary breakup, different combinations of sub-models were proposed over the years [34,35], all of them providing reasonably good results both at evaporating and nonPage 3 of 18 7/20/2015 evaporating conditions when applied to nozzles with diameters typical of passenger car engines.…”

Section: Numerical Setupmentioning

confidence: 99%

Experimental and Numerical Analyses of Liquid and Spray Penetration under Heavy-Duty Diesel Engine Conditions

Maes

Dam

Somers

et al. 2016

SAE Int. J. Fuels Lubr.

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The modeling of fuel sprays under well-characterized conditions relevant for heavy-duty Diesel engine applications, allows for detailed analyses of individual phenomena aimed at improving emission formation and fuel consumption. However, the complexity of a reacting fuel spray under heavy-duty conditions currently prohibits direct simulation. Using a systematic approach, we extrapolate available spray models to the desired conditions without inclusion of chemical reactions. For validation, experimental techniques are utilized to characterize inert sprays of n-dodecane in a high-pressure, high-temperature (900 K) constant volume vessel with full optical access. The liquid fuel spray is studied using high-speed diffused back-illumination for conditions with different densities (22.8 and 40 kg/m 3 ) and injection pressures (150, 80 and 160 MPa), using a 0.205-mm orifice diameter nozzle. High-speed Schlieren imaging is used to analyze the influence of these boundary conditions on the spray penetration. Simulations of the fuel spray are performed using a dedicated computational mesh with refinements at the known location of the jet to capture the smallest scales of interest. Using a blob injection model refined with a primary atomization and secondary breakup model, correct trends and good agreement are achieved for both liquid and spray penetration. The capability of capturing the trends at largely varying boundary conditions with a single computational approach provides a solid base for future work.

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“…Validation of the proposed methodology for spray modeling at non reacting conditions is illustrated in [24,20] where a detailed comparison between computed and experimental data is reported for spray penetration and radial distribution of mixture fraction.…”

Section: Spray and Turbulence Modelingmentioning

confidence: 99%

“…4 summarizes the operation of the TRIF combustion model, illustrating the mutual interactions between the CFD, flamelets domains and chemistry table. Further details about the RIF model implementation in Lib-ICE can be found in [3,19,20]. Despite using tabulated reaction rates, TRIF simulations will have higher computational costs compared to TWM or TPPDF due to the need to perform on-line the integration of Eq.…”

Section: Tabulated Representative Interactive Flamelet Model (Trif)mentioning

confidence: 99%

Experimental Validation of Combustion Models for Diesel Engines Based on Tabulated Kinetics in a Wide Range of Operating Conditions

Lucchini¹,

D’Errico²,

Cerri³

et al. 2017

SAE Technical Paper Series

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Computational fluid dynamics represents a useful tool to support the design and development of Heavy Duty Engines, making possible to test the effects of injection strategies and combustion chamber design for a wide range of operating conditions. Predictive models are required to ensure accurate estimations of heat release and the main pollutant emissions within a limited amount of time. For this reason, both detailed chemistry and turbulence chemistry interaction need to be included. In this work, the authors intend to apply combustion models based on tabulated kinetics for the prediction of Diesel combustion in Heavy Duty Engines. Four different approaches were considered: wellmixed model, presumed PDF, representative interactive flamelets and flamelet progress variable. Tabulated kinetics was also used for the estimation of N O x emissions. The proposed numerical methodology was implemented into the Lib-ICE code, based on the OpenFOAM R technology, and validated against experimental data from a light-duty FPT engine. Ten points were considered at different loads and speeds where the engine operates under both conventional Diesel combustion and PCCI mode. A detailed comparison between computed and experimental data was performed in terms of in-cylinder pressure and NO x emissions.

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Combustion Modeling in Heavy Duty Diesel Engines Using Detailed Chemistry and Turbulence-Chemistry Interaction

Cited by 14 publications

References 43 publications

A Numerical Study on the Sensitivity of Soot and NOx Formation to the Operating Conditions in Heavy Duty Engines

A Numerical Study on the Sensitivity of Soot and NOx Formation to the Operating Conditions in Heavy Duty Engines

Experimental and Numerical Analyses of Liquid and Spray Penetration under Heavy-Duty Diesel Engine Conditions

Experimental Validation of Combustion Models for Diesel Engines Based on Tabulated Kinetics in a Wide Range of Operating Conditions

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