A New 0D Approach for Diesel Combustion Modeling Coupling Probability Density Function with Complex Chemistry

Mauviot, Gilles; Albrecht, Andreas; Poinsot, Thiérry

doi:10.4271/2006-01-3332

Cited by 28 publications

(24 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…c i (Z i ) = c i , ∀Z i . Thanks to these assumptions the general form of the joint PDF [18,37] is reduced to a simple single variable PDF. In [37], the impact of this assumption on the combustion process is discussed and it is shown that the Auto Ignition process is not affected.…”

Section: Premixed Combustion Modelmentioning

confidence: 99%

“…This approach makes use of the model developed in [18,26,27] for HCCI combustion, but in the present work only three species are considered: burned gas, unburned gas and fuel. The description of the combustion process is here also simplified by modeling the two combustion phases by their own sub-model.…”

Section: Overviewmentioning

confidence: 99%

“…It must take into account spray expansion, aerodynamics, gas temperature and composition in the combustion chamber. Three approaches are mainly used [6,7,18]: the overall vaporization model, the model based on the "d 2 " Model results for 4 injections in non-reactive conditions: a) injection rate profile; b) gas mass evolution in each zone; c) fuel vapor mass evolution in each zone.…”

Section: Vaporization Modelmentioning

confidence: 99%

“…The cool flame delay is calculated through integration of the intermediate species Y I . Considering a homogeneous flow without convection and diffusion, the growth rate of Y I is proportional to the amount of fuel tracer Y Tf,i and is a function of the local cool flame ignition delay defined earlier: (18) with: (19) B is a characteristic time chosen equal to 1 s. [38]. The fuel tracer represents the amount of fresh mixed fuel that would exist in the spray volume without chemical reactions.…”

Section: Tabulated Auto Ignition Model Based On Detailed Chemistrymentioning

confidence: 99%

“…The relative importance between these two phases varies greatly depending on engine speed and load and is heavily influenced by the injection process, mainly the quantity of fuel injected during the ignition delay. In DI Diesel combustion, premixed combustion is characterized by an air/fuel ratio distribution inside the spray volume [17], more or less homogeneous according to time after injection and mixing velocity [18]. The first Auto Ignition site appears inside the spray, where chemical and thermodynamic conditions are the most favorable [19,20].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Physics and Tabulated Chemistry Based Compression Ignition Combustion Model: from Chemistry Limited to Mixing Limited Combustion Modes

Bordet

Caillol

Higelin

et al. 2011

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

Résumé -Un modèle de combustion à allumage par compression basé sur la physique et la chimie tabulée : des modes de combustion contrôlés par la chimie jusqu'aux modes contrôlés par le mélange -Ce papier présente une nouvelle approche 0D phénoménologique pour prédire le déroulement de la combustion dans les moteurs Diesel à injection directe pour toutes les conditions d'utilisation usuelles. Le but de ce travail est de développer une approche physique en vue d'améliorer la prédiction de la pression cylindre et du dégagement d'énergie, avec un nombre minimum d'essais nécessaires à la calibration. Les contributions principales de cette étude sont la modélisation de la phase de pré-mélange de la combustion et une extension du modèle pour les stratégies d'injections multiples. Dans ce modèle, le taux de dégagement d'énergie dû à la combustion pour la phase pré-mélangée est relié à un taux de réaction moyen du carburant. Ce taux de réaction moyen de carburant est évalué à l'aide d'une approche basée sur un taux de réaction local de carburant tabulé et la détermination d'une fonction de densité de probabilité (PDF) de la fraction de mélange (Z). Cette PDF permet de prendre en compte la distribution de richesse existante dans la zone pré-mélangée. L'allure de cette PDF présumée est une β-fonction standardisée. Les fluctuations de la fraction de mélange sont décrites avec une équation de transport pour la variance de Z. La définition standard de la fraction de mélange, établie dans le cas de flammes de diffusion, est ici adaptée à une combustion pré-mélangée de type Diesel pour décrire l'inhomogénéité de la richesse dans le volume de contrôle. La chimie détaillée est décrite au travers de la tabulation du taux de réaction relatif à la flamme principale et du délai d'auto-inflammation relatif à la flamme froide, ces tabulations sont fonction de la variable d'avancement c, du taux de gaz brûlé ainsi que des grandeurs thermodynamiques telles que la température et la pression. Le modèle de combustion de diffusion est basé sur l'évaluation d'une fréquence de mélange qui est fonction du taux de turbulence dans la chambre et fonction de la masse de carburant vapeur disponible. Ce modèle de combustion est l'un des sous-modèles inclus dans le modèle thermodynamique de chambre de combustion basé sur une approche 2 zones différentiant gaz frais et gaz brûlés. De plus, un sous-modèle concernant la multi-injection a été développé pour prendre en compte les interactions entre les jets et pour décrire l'impact de la multi-injection sur le mélange air/carburant. Les résultats numériques ont été comparés aux mesures réalisées sur un moteur Diesel Renault de 2 litres. Pour l'ensemble des points de fonctionnement explorés, une bonne correspondance a été obtenue entre les résultats issus des simulations et les mesures expérimentales. Oil & Gas Science and Technology -Rev. IFP Energies nouvelles, Vol. 66 (2011) and Technology -Rev. IFP Energies nouvelles, Vol. 66 (2011) , No. 5, pp. 823-843 Copyright © 2011, IFP Energies nouvelles DOI: 10.25...

show abstract

Section: Premixed Combustion Modelmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Section: Vaporization Modelmentioning

confidence: 99%

Section: Tabulated Auto Ignition Model Based On Detailed Chemistrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Physics and Tabulated Chemistry Based Compression Ignition Combustion Model: from Chemistry Limited to Mixing Limited Combustion Modes

Bordet

Caillol

Higelin

et al. 2011

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

View full text Add to dashboard Cite

show abstract

Simulation of CO and NO emissions in a SI engine using a 0D coherent flame model coupled with a tabulated chemistry approach

et al. 2014

View full text Add to dashboard Cite

A 0-D flame wrinkling equation to describe the turbulent flame surface evolution in SI engines

Richard

Veynante

2015

Comptes Rendus Mécanique

View full text Add to dashboard Cite

The current development of reciprocating engines relies increasingly on system simulation for both design activities and conception of algorithms for engine control. These numerical simulation tools require high computational efficiencies, as calculations have to be performed in times close to real-time. Then, they are today mainly based on simple empirical laws to describe the combustion processes in the cylinders. However, with the rapid evolution of emission regulations and fuel formulation, more and more physics is expected in combustion models. A solution consists in reducing 3-D combustion models to build 0-dimensional models that are both CPU-efficient and based on physical quantities. This approach has been used in a previous work to reduce the 3-D ECFM (Extended Coherent Flame Model), leading to the so-called CFM1D. A key feature of the latter is to be based on a 0-D equation for the flame wrinkling derived from the 3-D equation for the flame surface density. The objective of this paper is to present in details the theoretical derivation of the wrinkling equation and the underlying modeling assumptions as well. Academic validations are performed against experimental data for several turbulence intensities and fuels. Finally, the proposed model is applied to engine simulations for a wide range of operating conditions. Comparisons are successfully conducted between incylinder measurements and the model predictions, highlighting the interest of reducing 3-D CFD models for calculations performed in the context of system simulation.

show abstract

A New 0D Approach for Diesel Combustion Modeling Coupling Probability Density Function with Complex Chemistry

Cited by 28 publications

References 12 publications

A Physics and Tabulated Chemistry Based Compression Ignition Combustion Model: from Chemistry Limited to Mixing Limited Combustion Modes

A Physics and Tabulated Chemistry Based Compression Ignition Combustion Model: from Chemistry Limited to Mixing Limited Combustion Modes

Simulation of CO and NO emissions in a SI engine using a 0D coherent flame model coupled with a tabulated chemistry approach

A 0-D flame wrinkling equation to describe the turbulent flame surface evolution in SI engines

Contact Info

Product

Resources

About