Reduced kinetic mechanisms of diesel fuel surrogate for engine CFD simulations

Frassoldati, Alessio; D’Errico, Gianluca; Stagni, Alessandro; Cuoci, Alberto; Faravelli, Tiziano; Onorati, Angelo; Ranzi, E.

doi:10.1016/j.combustflame.2015.07.039

Cited by 76 publications

(34 citation statements)

References 57 publications

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“…Attending to figure 2 it is clear that the Yao mechanism provides excellent results for ID even though, as it was mentioned before, it is addressed for spray A calculations [18]. Both Narayanaswamy and Wang mechanisms overestimate the ID and the values provided by the Narayanaswamy are greater than those corresponding to the Wang mechanism [23]. Nevertheless, the experimental trends are correctly reproduced.…”

Section: Resultsmentioning

confidence: 54%

“…The CH2O field considerably changes among mechanisms as well as its maximum value reached in the domain. In general, the fields provided by the Narayanaswamy and the Wang mechanisms are similar [23] and the Yao mech-anism is the one that shows greater differences, especially for the CH2O that extends in a wider region compared to the other mechanisms. A clearer description of the combustion process is evidenced when the species are represented in the equivalence ratio-temperature or φ-T maps.…”

Section: Resultsmentioning

confidence: 87%

“…With regard to oxygen sweep the Yao and Wang mechanisms follow a similar trend for the ID although the first one underestimates it while the second one overestimates it. The Narayanaswamy overestimates ID measurements [23] and is the mechanism which shows less sensitivity with the oxygen variation. For the LOL parameter, all three mechanisms provide very close values between them that are far from the experimental result for XO 2 = 0.21 and show low sensitivity when changing the oxygen concentration compared to the experiment.…”

Section: Resultsmentioning

confidence: 99%

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Influence of the chemical mechanism in the frame of diesel-like CFD reacting spray simulations using a presumed PDF flamelet-based combustion model

González

Oliver

Novella

et al. 2017

Proceedings ILASS–Europe 2017. 28th Conference on Liquid Atomization and Spray Systems

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The ability of a computational fluid dynamics (CFD) simulation to reproduce the diesel-like reacting spray ignition process and its corresponding flame structure strongly depends on both the fidelity of the chemical mechanism for reproducing the oxidation of the fuel and also on how the turbulence-chemistry interaction (TCI) is modeled. Therefore, investigating the performance of different chemical mechanisms not only in perfect stirred reactors but directly in the diesel-like spray itself is of great interest in order to evaluate their suitability for being further applied to CFD engine simulations. This research work focuses on applying a presumed probability density function (PDF) unsteady flamelet combustion model to the well-known spray A from the Engine Combustion Network (ECN), using three chemical mechanisms widely accepted by the scientific community as a way to figure out the influence of chemistry in the key characteristics of the combustion process in the frame of diesel-like spray simulations. Results confirm that in spite of providing all of them correct trends for ignition delays (ID) and lift-off lengths (LOL), when comparing with experimental results, the structure of the flame presents noticeable differences, especially in the low and intermediate temperatures and high equivalence ratio regions. Consequently, the selection of the chemical mechanism has an impact on the zones of influence of key species as observed in both spatial coordinates and also in the equivalence ratio-temperature maps. These differences are expected to be relevant considering the implications when coupling pollutant emissions models. The analysis of temperature and oxygen concentration parametric studies evidences how the observed differences are consistent and moderately dependent on the ambient conditions. KeywordsCombustion modeling, Chemical mechanism, Spray A, Flamelet IntroductionThe improvement of the combustion technologies in industrial devices, such as diesel engines, in terms of efficiency and pollutant emissions, evidence that a comprehensive knowledge of the processes involved is mandatory. Between the different processes that concur in the energetic transformation, turbulent non-premixed combustion appears as one of the most relevant. Nevertheless, its modeling is a complex issue due to the different length and time scales of the turbulence, the fuel oxidation and the interaction between them [1]. These considerations point out that for a proper modeling of the turbulent non-premixed combustion two main aspects are essential. The first one is the chemical mechanism, that determines the fuel oxidation, while the second one is the turbulence-chemistry interaction (TCI). Promoted by the need of gaining a very detailed knowledge in these issues in diesel spray conditions, the Engine Combustion Network (ECN) has proposed a set of experiments in controlled conditions that shed light for these concerns by means of experiments and numerical simulations. More particularly, the well-known spray A models a die...

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Section: Resultsmentioning

confidence: 54%

Section: Resultsmentioning

confidence: 87%

Section: Resultsmentioning

confidence: 99%

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Influence of the chemical mechanism in the frame of diesel-like CFD reacting spray simulations using a presumed PDF flamelet-based combustion model

González

Oliver

Novella

et al. 2017

Proceedings ILASS–Europe 2017. 28th Conference on Liquid Atomization and Spray Systems

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show abstract

“…Diesel fuel was assumed to be n − C 12 H 26 and in this work its oxidation was modeled using the mechanism proposed by Frassoldati et al [27]. It has 96 species and 993 reactions and it was extensively validated with experimental data in a wide range of conditions including flow and stirred reactor experiments, auto-ignition delay times, laminar flame speeds, and autoignition of isolated fuel droplets in micro-gravity conditions.…”

Section: Experimental Validationmentioning

confidence: 99%

“…Dependency on the ambient oxygen concentration is correctly captured either for both ignition delay and flame lift-off. All the models overpredict ignition delay when oxygen concentration is low and this aspect is mainly related to the used kinetic mechanism, as illustrated in detail in [27]. To understand how sub-grid mixing affects heat release rate (HRR), a comparison between experimental and computed vessel pressure rates is illustrated in Fig.…”

Section: Validation Of the Tfpv Modelmentioning

confidence: 99%

Experimental Validation of Combustion Models for Diesel Engines Based on Tabulated Kinetics in a Wide Range of Operating Conditions

Lucchini¹,

D’Errico²,

Cerri³

et al. 2017

SAE Technical Paper Series

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Computational fluid dynamics represents a useful tool to support the design and development of Heavy Duty Engines, making possible to test the effects of injection strategies and combustion chamber design for a wide range of operating conditions. Predictive models are required to ensure accurate estimations of heat release and the main pollutant emissions within a limited amount of time. For this reason, both detailed chemistry and turbulence chemistry interaction need to be included. In this work, the authors intend to apply combustion models based on tabulated kinetics for the prediction of Diesel combustion in Heavy Duty Engines. Four different approaches were considered: wellmixed model, presumed PDF, representative interactive flamelets and flamelet progress variable. Tabulated kinetics was also used for the estimation of N O x emissions. The proposed numerical methodology was implemented into the Lib-ICE code, based on the OpenFOAM R technology, and validated against experimental data from a light-duty FPT engine. Ten points were considered at different loads and speeds where the engine operates under both conventional Diesel combustion and PCCI mode. A detailed comparison between computed and experimental data was performed in terms of in-cylinder pressure and NO x emissions.

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Prospects and Challenges of Green Ammonia as an Alternate Fuel for Internal Combustion Engines

Kishore,

Gupta,

Kurien

et al. 2024

Energy, Environment, and Sustainability

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Reduced kinetic mechanisms of diesel fuel surrogate for engine CFD simulations

Cited by 76 publications

References 57 publications

Influence of the chemical mechanism in the frame of diesel-like CFD reacting spray simulations using a presumed PDF flamelet-based combustion model

Influence of the chemical mechanism in the frame of diesel-like CFD reacting spray simulations using a presumed PDF flamelet-based combustion model

Experimental Validation of Combustion Models for Diesel Engines Based on Tabulated Kinetics in a Wide Range of Operating Conditions

Prospects and Challenges of Green Ammonia as an Alternate Fuel for Internal Combustion Engines

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