Development and validation of an n-dodecane skeletal mechanism for spray combustion applications

Luo, Zhaoyu; Som, Sibendu; Sarathy, S. Mani; Plomer, Max; Pitz, William J.; Longman, Douglas E.; Lu, Tianfeng

doi:10.1080/13647830.2013.872807

Cited by 135 publications

(61 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(7), r 2 i stands for the partial variance of the ith parameter based on the above expansions as shown in Eqs. (5) and (6). Sparse regression technique [28] was used to reduce the sample size while maintaining a good convergence of the results at the same time.…”

Section: Gsa Methodologymentioning

confidence: 99%

“…Towards this goal, the Engine Combustion Network (ECN) provides an international platform involving many research institutions and industries worldwide to make available high-quality experimental data under well-defined boundary conditions applicable to engine combustion [1]. An n-dodecane spray flame called Spray A has been the focus of both experimentalists [2][3][4][5] and modelers [6][7][8][9][10][11][12][13][14] in ECN. Although n-dodecane is not an ideal surrogate for transportation fuels, its choice is driven by the fact that the surrogate lends itself to different optical measurements and the physical and chemical properties of the fuel are precisely defined, unlike pump fuels.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Engine Combustion Network (ECN): Global sensitivity analysis of Spray A for different combustion vessels

Pei

Davis

Pickett

et al. 2015

Combustion and Flame

Self Cite

View full text Add to dashboard Cite

a b s t r a c tGlobal sensitivity analysis was conducted on Spray A of the Engine Combustion Network's (ECN) experimental conditions across different combustion vessels from different institutions. The main objective was to understand the influence of differences in boundary conditions on specific targets of interest. A list of experimental initial, boundary, and injection conditions with uncertainty ranges were identified for three different ambient conditions for these combustion vessels. Five targets including the liquid length, vapor penetration length, ignition delay, lift-off length, and soot mass in the domain were extracted from hundreds of 3D computational fluid dynamics (CFD) simulations by simultaneously perturbing all the uncertain variables. Each target was analyzed using a global sensitivity analysis (GSA) method and the relative importance of different variables towards specific targets was identified. The uncertainty in the fuel temperature was found to have a profound influence on the liquid length, however, the influence on vapor penetration length, ignition delay, and lift-off length, was rather subtle. Small uncertainties in the initial turbulence level and nozzle diameter was observed to have a significant influence on the vapor penetration. Variables sensitive to ignition delay also showed similar sensitivity to flame lift-off length. The soot mass in the domain was observed to have a closer correlation with the liquid length at least for higher ambient temperature conditions.

show abstract

Section: Gsa Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Engine Combustion Network (ECN): Global sensitivity analysis of Spray A for different combustion vessels

Pei

Davis

Pickett

et al. 2015

Combustion and Flame

Self Cite

View full text Add to dashboard Cite

show abstract

“…The dynamic structure model was shown to most accurately capture the experimental mixture fraction relative to other sub-grid scale models [17], and the initial turbulence levels were set based on experimental measurements. The chemical kinetic model for n-dodecane combustion includes 105 species and 420 reactions [18], while combustion is treated with a well-mixed model. Soot was modeled using the methodology of Hiroyasu [19] with acetylene (C 2 H 2 ) as the soot precursor.…”

Section: Anlmentioning

confidence: 99%

“…The model considers inception (from C 2 H 2 ), surface growth, oxidation (by O 2 and OH) and coagulation. For Spray A, the simplified n-dodecane mechanism from Luo et al [18] was applied using in-situ adaptive tabulation (ISAT) [34] to reduce computational effort. An extended CMC model was employed to account for multiple injections [31].…”

Section: Eth Zurich Switzerland (Ethz)mentioning

confidence: 99%

A Progress Review on Soot Experiments and Modeling in the Engine Combustion Network (ECN)

Skeen

Manin

Pickett

et al. 2016

SAE Int. J. Engines

Self Cite

View full text Add to dashboard Cite

The 4th Workshop of the Engine Combustion Network (ECN) was held September 5-6, 2015 in Kyoto, Japan. This manuscript presents a summary of the progress in experiments and modeling among ECN contributors leading to a better understanding of soot formation under the ECN “Spray A” configuration and some parametric variants. Relevant published and unpublished work from prior ECN workshops is reviewed. Experiments measuring soot particle size and morphology, soot volume fraction (fv), and transient soot mass have been conducted at various international institutions providing target data for improvements to computational models. Multiple modeling contributions using both the Reynolds Averaged Navier-Stokes (RANS) Equations approach and the Large-Eddy Simulation (LES) approach have been submitted. Among these, various chemical mechanisms, soot models, and turbulence-chemistry interaction (TCI) methodologies have been considered

show abstract

“…In this research, for modelling the n-heptane combustion process, the skeletal chemistry mechanism [31] covering 68 species and 283 chemical reactions is used. For modelling the n-dodecane combustion process another chemistry mechanism accounting for 106 chemical species and 420 chemical reactions is employed [32].…”

Section: Combustion Modellingmentioning

confidence: 99%

Modelling of spray and combustion processes by using the Eulerian multiphase approach and detailed chemical kinetics

Petranović

Edelbauer

Vujanović

et al. 2017

Fuel

View full text Add to dashboard Cite

This research deals with computational modelling of non-reactive and reactive turbulent spray processes. The spray process is modelled using the Euler Eulerian multiphase approach together with a size-of-classes model where the discrete phase is considered as continuum and divided into sub-classes. The combustion process is modelled by taking into account chemical kinetics and solving homogeneous gas phase reactions. The combustion model is implemented into a commercial computational fluid dynamics code, and used in combination with previously validated spray sub-models. Several non-reactive cases are modelled by comparing the fuel spatial and temporal development to the available experimental data. The modelled results show excellent agreement for fuel penetration and mixture distributions. Furthermore, the developed method is validated by modelling reactive spray processes within constant volume vessel, and by comparing results to the Engine combustion network experimental data. The vessel conditions correspond well to diesel-like conditions in terms of gas residuals, pressure and temperature. Finally, the given results show a good agreement for the lift-off length and the ignition delay trends compared to the experimental data, but a slight discrepancy in the combustion process occurrence is observed.

show abstract

Development and validation of an n-dodecane skeletal mechanism for spray combustion applications

Cited by 135 publications

References 31 publications

Engine Combustion Network (ECN): Global sensitivity analysis of Spray A for different combustion vessels

Engine Combustion Network (ECN): Global sensitivity analysis of Spray A for different combustion vessels

A Progress Review on Soot Experiments and Modeling in the Engine Combustion Network (ECN)

Modelling of spray and combustion processes by using the Eulerian multiphase approach and detailed chemical kinetics

Contact Info

Product

Resources

About