Effects of fuel cetane number on the structure of diesel spray combustion: An accelerated Eulerian stochastic fields method

Jangi, Mehdi; Lucchini, Tommaso; Gong, Chen; Bai, Xue‐Song

doi:10.1080/13647830.2015.1057234

Cited by 28 publications

(20 citation statements)

References 31 publications

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“…Previous work has shown that the use of thirty-two stochastic fields reached result convergence [35]. The Chemistry Coordinate Mapping (CCM) approach is coupled with the ESF solver in order to integrate the chemical reaction source terms efficiently [36]. In the current work, a fourdimensional phase space based on temperature, local equivalence ratio, scalar dissipation rate, and the mass fraction of fuel is used.…”

Section: Cfd Model Formulationmentioning

confidence: 99%

Effects of ambient pressure on ignition and flame characteristics in diesel spray combustion

Pang

Jangi

Bai

et al. 2019

Fuel

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Section: Cfd Model Formulationmentioning

confidence: 99%

Effects of ambient pressure on ignition and flame characteristics in diesel spray combustion

Pang

Jangi

Bai

et al. 2019

Fuel

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“…In these studies, the ESF method is essentially coupled to reduced chemical mechanisms. Recently, Jangi et al [22][23][24], applied the ESF method in conjunction with detailed chemistry for some jet flames cases.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of an OxyfuelNon-Premixed CombustionUsing a Hybrid Eulerian Stochastic Field/Flamelet Progress Variable Approach: Effects of H2/CO2 Enrichment and Reynolds Number

et al. 2018

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In the present paper, the behaviour of an oxy-fuel non-premixed jet flame is numerically investigated by using a novel approach which combines a transported joint scalar probability density function (T-PDF) following the Eulerian Stochastic Field methodology (ESF) and a Flamelet Progress Variable (FPV) turbulent combustion model under consideration of detailed chemical reaction mechanism. This hybrid ESF/FPV approach overcomes the limitations of the presumed- probability density function (P-PDF) based FPV modelling along with the solving of associated additional modelled transport equations while rendering the T-PDF computationally less demanding. In Reynolds Averaged Navier-Stokes (RANS) context, the suggested approach is first validated by assessing its general prediction capability in reproducing the flame and flow properties of a simple piloted jet flame configuration known as Sandia Flame D. Second, its feasibility in capturing CO2addition effect on the flame behaviour is demonstrated while studying a non-premixed oxy-flame configuration. This consists of an oxy-methane flame characterized by a high CO2 amount in the oxidizer and a significant content of H2 in the fuel stream, making it challenging for combustion modelling. Comparisons of numerical results with experimental data show that the complete model reproduces the major properties of the flame cases investigated and allows achieving the best agreement for the temperature and different species mass fractions once compared to the classical presumed PDF approach.

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“…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%

“…Furthermore, an advanced turbulent combustion model should also have the capability to capture multiple combustion modes, which may occur in the engines as aforementioned [1,10,26]. Numerous TCI closure approaches have been developed for the modelling of turbulent spray combustion under engine relevant conditions.…”

Section: Investigator(s)mentioning

confidence: 99%

“…To comply with the increasingly stringent regulations that aim to reduce emitted harmful pollutants from diesel engines, the implementation of alternative fuels and new engine combustion technologies such as low-temperature combustion (LTC) has become the main focus of both the automotive and maritime engine industries. With the use of alternative fuel and/or LTC, the associated combustion modes are expected to be different from that of conventional diesel combustion in the same operating strategy, which may be varying from a classical diffusion-controlled combustion to a partially premixed reacting system where ignition, premixed reaction front and diffusion flame can co-exist and interact with each other [1]. It is necessary to couple advanced experimental and numerical tools for the investigation and understanding of the auto-ignition, flame stabilisation/propagation and emissions formation.…”

Section: Introductionmentioning

confidence: 99%

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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

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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.

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Effects of fuel cetane number on the structure of diesel spray combustion: An accelerated Eulerian stochastic fields method

Cited by 28 publications

References 31 publications

Effects of ambient pressure on ignition and flame characteristics in diesel spray combustion

Effects of ambient pressure on ignition and flame characteristics in diesel spray combustion

Numerical Investigation of an OxyfuelNon-Premixed CombustionUsing a Hybrid Eulerian Stochastic Field/Flamelet Progress Variable Approach: Effects of H2/CO2 Enrichment and Reynolds Number

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

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