Large-eddy simulation of dual-fuel ignition: Diesel spray injection into a lean methane-air mixture

Kahila, Heikki; Wehrfritz, Armin; Kaario, Ossi; Vuorinen, Ville

doi:10.1016/j.combustflame.2018.10.014

Cited by 98 publications

(105 citation statements)

References 102 publications

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“…This mechanism is called Polimi reduced mechanism and it is validated using Cantera for SF methanol/air combustion in Appendix A for brevity. Previously, the mechanism was used and verified by the present authors for SF and DF studies of n-dodecane/methane ignition [48] . The validation in Appendix A shows that the Polimi reduced mechanism can capture ignition and flame properties of methanol/air combustion with a reliable precision and consequently, it is utilized in the present DF study.…”

Section: Validation Of Chemical Kinetics Mechanismsupporting

confidence: 56%

“…The compressible Navier-Stokes equations along with the transport equations for species mass fractions are solved using the direct integration of finite-rate chemistry within OpenFOAM 2.4.x framework. The customized solver is based on the recent work by Kahila et al [48] where the open source library, pyJac [49] , was coupled with OpenFOAM. PyJac provides reaction rate coefficients as well as the analytical Jacobian matrix formulation required by the ordinary differential equation (ODE) system solver.…”

Section: Reactive Flow Solversmentioning

confidence: 99%

“…The compressible solver utilizes the standard PISO (pressure implicit with splitting of operator) pressurecorrection approach. The interested reader is referred to [48] for further details on the implementation and other improvements of the present approach over the standard OpenFOAM solvers, including enhanced ODE linear algebra and parallelization capabilities. It should be noted that this customized solver assumes infinite pressure wave speed and it has been shown to capture the compression effects after the first ignition [50] .…”

Section: Reactive Flow Solversmentioning

confidence: 99%

“…The Polimi reduced mechanism has been validated and used for SF n-dodecane/air under engine-relevant conditions in our previous computational studies of n-dodecane/methane DF combustion, in Refs. [48,63] . Here, it is only validated for SF methanol/air combustion.…”

Section: Declaration Of Competing Interestmentioning

confidence: 99%

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A numerical study on combustion mode characterization for locally stratified dual-fuel mixtures

Karimkashi

Kahila

Kaario

et al. 2020

Combustion and Flame

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a b s t r a c tCombustion modes in locally stratified dual-fuel (DF) mixtures are numerically investigated for methanol/n-dodecane blends under engine-relevant pressures. In the studied constant-volume numerical setup, methanol acts as a background low-reactivity fuel (LRF) while n-dodecane serves as high-reactivity fuel (HRF), controlling local ignition delay time. The spatial distribution of n-dodecane is modeled as a sinusoidal function parametrized by stratification amplitude ( Y ) and wavelength (0.01 mm <λ< 15 mm). In contrast, methanol is assumed to be fully premixed with air at equivalence ratio 0.8. First, onedimensional setup is investigated by hundreds of chemical kinetics simulations in ( Y , λ) parameter space. Further, the concepts by Sankaran et al. (2005, Proceedings of the Combustion Institute ) and Zeldovich (1980, Combustion and Flame ) on ignition front propagation speed are applied to develop a theoretical analysis of the time-dependent diffusion-reaction problem. The theoretical analysis predicts two combustion modes, (1) spontaneous ignition and (2) deflagrative propagation, and leads to an analytical expression for the border curve called β-curve herein. One-dimensional chemical kinetics simulations confirm the presence of two combustion modes in ( Y , λ) parameter space while the β-curve explains consistently the position of phase border observed in the simulations. Finally, the role of convective mixing is incorporated to the theoretical expression for the β-curve. The effect of convection on combustion modeis assessed by carrying out two-dimensional fully-resolved simulations with different turbulence levels. Two-dimensional numerical simulation results give evidence on combustion mode switching, which is consistent with predictions of the modified β-curve for turbulent cases. The practical output of the paper is the β-curve which is proposed as a predictive tool to estimate combustion modes for various fuels or fuel combinations.

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Section: Validation Of Chemical Kinetics Mechanismsupporting

confidence: 56%

Section: Reactive Flow Solversmentioning

confidence: 99%

Section: Reactive Flow Solversmentioning

confidence: 99%

Section: Declaration Of Competing Interestmentioning

confidence: 99%

See 2 more Smart Citations

A numerical study on combustion mode characterization for locally stratified dual-fuel mixtures

Karimkashi

Kahila

Kaario

et al. 2020

Combustion and Flame

Self Cite

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“…Normally there are three ways to model the turbulence flow of the engine: Large Eddy Simulation (LES), Direct Numerical Simulation (DNS) and Reynolds-Averaged Navier-Stokes (RANS) [6]. Kahila et al developed the LES together with a finite-rate chemistry model to investigate the engine dual-fuel ignition process [7]. Knudsen et al proposed the compressible Eulerian numerical model to describe how liquid fuel injector nozzle geometry and operation strategies influence gas phase fuel distribution [8].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Investigation into Combustion Fitting in a Direct Injection Marine Diesel Engine

Ding

Sui

2018

Applied Sciences

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The marine diesel engine combustion process is discontinuous and unsteady, resulting in complicated simulations and applications. When the diesel engine is used in the system integration simulation and investigation, a suitable combustion model has to be developed due to compatibility to the other components in the system. The Seiliger process model uses finite combustion stages to perform the main engine combustion characteristics and using the cycle time scale instead of the crank angle shortens the simulation time. Obtaining the defined Seiliger parameters used to calculate the engine performance such as peak pressure, temperature and work is significant and fitting process has to be carried out to get the parameters based on experimental investigation. During the combustion fitting, an appropriate mathematics approach is selected for root finding of non-linear multi-variable functions since there is a large amount of used experimental data. A direct injection marine engine test bed is applied for the experimental investigation based on the combustion fitting approach. The results of each cylinder and four-cylinder averaged pressure signals are fitted with the Seiliger process that is shown separately to obtain the Seiliger parameters, and are varied together with these parameters and with engine operating conditions to provide the basis for engine combustion modeling.

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Dual Fuel Soy Biodiesel and Natural Gas Swirl Combustion for Toxic Emissions Reduction

Chiong

Mong

Wong

et al. 2022

Technological Advancement in Mechanical and Automotive Engineering

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Large-eddy simulation of dual-fuel ignition: Diesel spray injection into a lean methane-air mixture

Cited by 98 publications

References 102 publications

A numerical study on combustion mode characterization for locally stratified dual-fuel mixtures

A numerical study on combustion mode characterization for locally stratified dual-fuel mixtures

An Experimental Investigation into Combustion Fitting in a Direct Injection Marine Diesel Engine

Dual Fuel Soy Biodiesel and Natural Gas Swirl Combustion for Toxic Emissions Reduction

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