3-D simulation of soot formation in a direct-injection diesel engine based on a comprehensive chemical mechanism and method of moments

Zhong, Benhe; Dang, Shuai; Song, Ya-Na; Gong, Jianming

doi:10.1080/13647830.2011.598567

Cited by 14 publications

(9 citation statements)

References 29 publications

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“…Soot surface growth is mainly through surface HACA mechanism and the particle dynamics has been modeled by the method of moments [27,28]. These models were pioneered by Frenklach and Wang [8] and later used extensively on various types of flames such as laminar premixed flames [7,[29][30][31][32], laminar counterflow diffusion flames [33][34][35], axis-symmetric coflow diffusion flames [36], 2D non-premixed turbulent flames [37] and 3D flames in diesel engine combustion [38]. The discrete sectional method was also frequently used [39][40][41][42][43][44][45][46] for particle dynamics, especially focused on soot size distribution.…”

Section: Introductionmentioning

confidence: 99%

Soot modeling of counterflow diffusion flames of ethylene-based binary mixture fuels

Wang

Raj²,

Chung

2015

Combustion and Flame

137

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Section: Introductionmentioning

confidence: 99%

Soot modeling of counterflow diffusion flames of ethylene-based binary mixture fuels

Wang

Raj²,

Chung

2015

Combustion and Flame

137

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“…Despite this deficiency, RANS is computationally inexpensive as compared to LES. Consequently, it still remains the most commonly used tool for engineering design and for simulating complex geometries (see, e.g., Blacha et al 2011, Zhong et al 2012.…”

Section: Reynolds-averaged Navier-stokes Simulationsmentioning

confidence: 99%

Modeling of Fine-Particle Formation in Turbulent Flames

Raman

Fox

2016

Annu. Rev. Fluid Mech.

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The generation of nanostructured particles in high-temperature flames is important both for the control of emissions from combustion devices and for the synthesis of high-value chemicals for a variety of applications. The physiochemical processes that lead to the production of fine particles in turbulent flames are highly sensitive to the flow physics and, in particular, the history of thermochemical compositions and turbulent features they encounter. Consequently, it is possible to change the characteristic size, structure, composition, and yield of the fine particles by altering the flow configuration. This review describes the complex multiscale interactions among turbulent fluid flow, gas-phase chemical reactions, and solid-phase particle evolution. The focus is on modeling the generation of soot particles, an unwanted pollutant from automobile and aircraft engines, as well as metal oxides, a class of high-value chemicals sought for specialized applications, including emissions control. Issues arising due to the numerical methods used to approximate the particle number density function, the modeling of turbulence-chemistry interactions, and model validation are also discussed. 159

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“…The detailed -heptane reaction mechanism that describes PAH formation and oxidation consists of 108 species and 572 elementary reactions [31]. The mechanism was taken from Wang and Frenklach [32] (R31-R572, refer to [31]) and Curran et al [33] (R1-R30, refer to [31]).…”

Section: Kinetic Modelmentioning

confidence: 99%

“…The mechanism was taken from Wang and Frenklach [32] (R31-R572, refer to [31]) and Curran et al [33] (R1-R30, refer to [31]). As the first aromatic ring (benzene) is formed, the growth of larger aromatic species essentially follows the H-abstraction-C 2 H 2 -addition (HACA) mechanism.…”

Section: Kinetic Modelmentioning

confidence: 99%

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Numerical Simulation of PAHs Formation and Effect of Operating Conditions in DI-Diesel Engines Based on a Comprehensive Chemical Mechanism

Zhong

2013

Advances in Mechanical Engineering

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Three-dimensional numerical simulations of polycyclic aromatic hydrocarbon (PAH) formation in a Chaochai 6102bzl direct injection diesel engine are performed. n-Heptane is chosen as the fuel. A detailed mechanism, which includes 108 species and 572 elementary reactions that describe n-heptane oxidation and PAH formation, is proposed. A reduced kinetic mechanism, with only 86 reactions and 57 species, is developed and incorporated into computational fluid dynamics (CFD) software for the numerical simulations. Results show that PAHs, which were mostly deposited at the bottom of the diesel combustion chamber wall, first increased and then decreased with the increase in diesel crank angle. Furthermore, the diesel engine operating conditions (intake vortex intensity, intake air pressure, fuel injection advance angle, diesel load, and engine speed) had a significant effect on PAH formation.

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3-D simulation of soot formation in a direct-injection diesel engine based on a comprehensive chemical mechanism and method of moments

Cited by 14 publications

References 29 publications

Soot modeling of counterflow diffusion flames of ethylene-based binary mixture fuels

Soot modeling of counterflow diffusion flames of ethylene-based binary mixture fuels

Modeling of Fine-Particle Formation in Turbulent Flames

Numerical Simulation of PAHs Formation and Effect of Operating Conditions in DI-Diesel Engines Based on a Comprehensive Chemical Mechanism

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