Assessing the Importance of Radiative Heat Transfer for ECN Spray A Using the Transported PDF Method

Chishty, Muhammad Aqib; Bolla, Michele; Hawkes, Evatt R.; Pei, Yuanjiang; Kook, Sanghoon

doi:10.4271/2016-01-0857

Cited by 15 publications

(17 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Examples of such combustion parameters are the time it takes for the fuel to ignite, called the ignition delay (ID) and the flame lift-off length (FLOL), which is the distance from the injector where the flame stabilizes. Many approaches for simulating high-pressure spray flames are being developed simultaneously at the moment, using different numerical frameworks and different methods of incorporating the interactions between the flow and chemistry [2,9,10,11,12]. A large part of these contributions is focused on validation within the engine combustion network (ECN), a consortium with orchestrated target conditions using nominally similar injection equipment [13].…”

mentioning

confidence: 99%

Heavy-Duty Diesel Engine Spray Combustion Processes: Experiments and Numerical Simulations

Maes¹,

Dam²,

Somers³

et al. 2018

SAE Technical Paper Series

View full text Add to dashboard Cite

A contemporary approach for improving and developing the understanding of heavy-duty Diesel engine combustion processes is to use a concerted effort between experiments at well-characterized boundary conditions and detailed, high-fidelity models. In this paper, combustion processes of n-dodecane fuel sprays under heavy-duty Diesel engine conditions are investigated using this approach. Reacting fuel sprays are studied in a constant-volume pre-burn vessel at an ambient temperature of 900 K with three reference cases having specific combinations of injection pressure, ambient density and ambient oxygen concentration (80, 150 & 160 MPa-22.8 & 40 kg/m 3-15 & 20.5% O 2). In addition to a free jet, two different walls were placed inside the combustion vessel to study flame-wall interaction. Experimentally, low-and high-temperature reaction product distributions are imaged simultaneously using single-shot planar laser-induced fluorescence (PLIF) of formaldehyde and high-speed line-ofsight imaging of the chemically-excited hydroxyl radical (OH*). Interference of soot incandescence in experimental OH* recordings is assessed to improve interpretation of the results. Interference by poly-cyclic aromatic hydrocarbon (PAH) LIF and soot radiation is mostly evaded by evaluating flame structures shortly after ignition for one of the studied cases, but presumably included in others. Simulations were performed using a recently developed computational fluid dynamics (CFD) methodology with detailed chemistry and turbulence-chemistry interaction. Apart from the capability to model flame structures and combustion indicators based on optical diagnostics, heat-release rate trends are predicted accurately at varying boundary conditions. Significant variation in the distribution of low-temperature combustion products under heavy-duty operating conditions are explained using both CFD simulations and a one-dimensional jet model. Fuel pump Resato P16-400-2 Fuel injector Bosch CRI2 solenoid (0.205 mm) Injector driver EFS IPoD 8532 Fuel pressure sensor Kistler 4067E3000 Vessel pressure sensor Kistler 6041 AU20 Burst disk rupture pressure 35 MPa Vessel volume 1260 cc Mixing fan motor Maxon motor (custom) Inlet and exhaust valves Sitec 710.3124-D

show abstract

mentioning

confidence: 99%

Heavy-Duty Diesel Engine Spray Combustion Processes: Experiments and Numerical Simulations

Maes¹,

Dam²,

Somers³

et al. 2018

SAE Technical Paper Series

View full text Add to dashboard Cite

show abstract

“…Framework Type of fuel combustion TCI closure Soot model Jangi et al [1] URANS n-Heptane ESF -Pei et al [10,21] URANS n-Dodecane L-tPDF -Pang et al [12,29,43] URANS Diesel, n-Heptane WSR Four-step D'Errico et al [13] URANS n-Dodecane WSR+PDF -Pei et al [19,20] URANS n-Heptane L-tPDF -Bhattacharjee and Haworth [22] URANS n-Heptane, n-Dodecane L-tPDF -Bolla et al [23][24][25] URANS n-Heptane, Diesel CMC Four-step Irannejad et al [27] LES n-Heptane FMDF -Lucchini et al [28] URANS n-Dodecane ESF -Wang et al [30] URANS n-Dodecane WSR Five-step Gong et al [31] LES n-Dodecane WSR Two-step Chishty et al [32] URANS n-Dodecane L-tPDF Four-step Frassoldati et al [33] URANS n-Dodecane mRIF -Cheng et al [34] URANS Biodiesel WSR Four-step Poon et al [35] URANS Diesel WSR Four-step Vishwanathan and Reitz [36] URANS Diesel WSR Five-step D'Errico et al [37] URANS n-Dodecane WSR, mRIF -Gong et al [38] URANS n-Heptane ESF -Gallot-Lavallée and Jones [39] LES n-Heptane ESF -Pandurangi et al [40] URANS n-Dodecane CMC Four-step Wehrfritz et al [41] LES n-Dodecane FGM -Jangi et al [42] URANS n-Heptane WSR Two-step Bolla et al [44,45] URANS n-Dodecane L-tPDF Four-step Note: L-tPDF denotes the Lagrangian particle transported PDF model. The two-step soot model represents the Hiroyasu-Nagle and Strickland-Constable (NSC) model which describes soot formation and oxidation [48].…”

Section: Investigator(s)mentioning

confidence: 99%

“…The eddy viscosity (or the so-called gradient transport) model is used, in which the transports due to the turbulent fluctuation are modelled based on the gradients of mean quantities. Akin to that reported by Christy et al [32] and Bolla et al [44,45] in their nonreacting n-dodecane spray case (case 1), the Realisable k−ε model is employed for the turbulence modelling. The initial turbulent kinetic energy, k and the associated dissipation rate, ε are set to 0.735 m 2 /s 2 and 0.567 m 2 /s 3 respectively [29].…”

Section: Unsteady Reynolds-averaged Navier-stokesmentioning

confidence: 99%

See 1 more Smart Citation

Modelling of diesel spray flames under engine-like conditions using an accelerated Eulerian Stochastic Field method

Pang

Jangi

Bai

et al. 2018

Combustion and Flame

View full text Add to dashboard Cite

This paper aims to simulate diesel spray flames across a wide range of engine-like conditions using the Eulerian Stochastic Field probability density function (ESF-PDF) model. The ESF model is coupled with the Chemistry Coordinate Mapping approach to expedite the calculation. A convergence study is carried out for a number of stochastic fields at five different conditions, covering both conventional diesel combustion and low-temperature combustion regimes. Ignition delay time, flame lift-off length as well as distributions of temperature and various combustion products are used to evaluate the performance of the model. The peak values of these properties generated using thirty-two stochastic fields are found to converge, with a maximum relative difference of 27% as compared to those from a greater number of stochastic fields. The ESF-PDF model with thirty-two stochastic fields performs reasonably well in reproducing the experimental *Manuscript Click here to view linked References 2 flame development, ignition delay times and lift-off lengths. The ESF-PDF model also predicts a broader hydroxyl radical distribution which resembles the experimental observation, indicating that the turbulence-chemistry interaction is captured by the ESF-PDF model. The validated model is subsequently used to investigate the flame structures under different conditions. Analyses based on flame index and formaldehyde distribution suggest that a triple flame, which consists of a rich premixed flame, a diffusion flame and a lean premixed flame, is established in the earlier stage of the combustion. As the combustion progresses, the lean premixed flame weakens and diminishes with time. Eventually, only a double-flame structure, made up of the diffusion flame and the rich premixed flame, is observed. The analyses for various ambient temperatures show that the tripleflame structure remains for a longer period of time in cases with lower ambient temperatures. The present study shows that the ESF-PDF method is a valuable alternative to Lagrangian particle PDF methods.

show abstract

“…Diesel fuel in engine simulations was assumed to be n-dodecane, whose oxidation is computed by using the mechanism proposed in Chisty et al [24] which was combined with the Zeldovich mechanism to compute NO. The mechanism has 58 species and 272 reactions.…”

Section: Experimental Validationmentioning

confidence: 99%

A comprehensive methodology for computational fluid dynamics combustion modeling of industrial diesel engines

Lucchini

Torre

Onorati

et al. 2017

International Journal of Engine Research

View full text Add to dashboard Cite

• A submitted manuscript is the author's version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Link to publication• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Abstract. Combustion control and optimization is of great importance to meet future emission standards in Diesel engines: increase of bmep at high loads and extension of the operating range of advanced combustion modes seem to be the most promising solutions to reduce fuel consumption and pollutant emissions at the same time. Within this context, detailed CFD tools are required to predict the different involved phenomena such as fuel-air mixing, unsteady diffusion combustion and formation of noxious species. Detailed kinetics, consistent spray models and high quality grids are necessary to perform predictive simulations which can be used either for design or diagnostic purposes. In this work, the authors present a comprehensive approach which was developed using an open-source CFD code. To minimize the pre-processing time and preserve results accuracy, algorithms for automatic mesh generation of spray-oriented grids were developed and successfully applied to different combustion chamber geometries. The Lagrangian approach was used to describe the spray evolution while the combustion process is modeled employing detailed chemistry and, eventually, considering turbulence/chemistry interaction. The proposed CFD methodology was first assessed considering inert and reacting experiments in a constant volume vessel, where operating conditions typical of heavy duty Diesel Engines were reproduced. Afterwards, engine simulations were performed considering two different load points and two piston bowl geometries, respectively. Experimental validation was carried out by comparing computed and experimental data of in-cylinder pressure, heat release rate ...

show abstract

Assessing the Importance of Radiative Heat Transfer for ECN Spray A Using the Transported PDF Method

Cited by 15 publications

References 37 publications

Heavy-Duty Diesel Engine Spray Combustion Processes: Experiments and Numerical Simulations

Heavy-Duty Diesel Engine Spray Combustion Processes: Experiments and Numerical Simulations

Modelling of diesel spray flames under engine-like conditions using an accelerated Eulerian Stochastic Field method

A comprehensive methodology for computational fluid dynamics combustion modeling of industrial diesel engines

Contact Info

Product

Resources

About