Applying Detailed Kinetics to Realistic Engine Simulation: the Surrogate Blend Optimizer and Mechanism Reduction Strategies

Naik, Chitralkumar V.; Puduppakkam, Karthik V.; Wang, Cheng; Kottalam, Jeyapandian; Liang, Long; Hodgson, Devin; Meeks, Ellen

doi:10.4271/2010-01-0541

Cited by 59 publications

(41 citation statements)

References 36 publications

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“…The CN and lower heating value of the surrogate fuel are calculated based on linear blending of the corresponding properties of the pure components. Note that linear blending may not be used to accurately estimate the CN [17,30].…”

Section: Diesel Surrogate Modelmentioning

confidence: 99%

“…Naik et al [17] constructed a diesel surrogate fuel containing n-tetradecane, n-decane, heptamethylnonane and 1-methylnaphthalene by using a program called a surrogate blend optimizer. Based on a master kinetic mechanism, a mechanism consisting of over 3800 species and 16,000 elementary reactions was developed for the diesel surrogate fuel.…”

Section: Introductionmentioning

confidence: 99%

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Development of a skeletal mechanism for diesel surrogate fuel by using a decoupling methodology

Chang

Jia

et al. 2015

Combustion and Flame

173

100

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Section: Diesel Surrogate Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a skeletal mechanism for diesel surrogate fuel by using a decoupling methodology

Chang

Jia

et al. 2015

Combustion and Flame

173

100

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“…Thus, surrogate fuels comprising a limited number of components mixed in proportions to match gasoline fuel target properties are utilized for chemical kinetic modeling. Previous gasoline surrogate formulation approaches are discussed in the literature [15][16][17][18][19][20][21][22][23][24][25][26][27], and further details on their relevance to this work are discussed later.…”

Section: Introductionmentioning

confidence: 99%

Compositional effects on the ignition of FACE gasolines

Sarathy

Kukkadapu

Mehl

et al. 2016

Combustion and Flame

182

236

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As regulatory measures for improved fuel economy and decreased emissions are pushing gasoline engine combustion technologies towards extreme conditions (i.e., boosted and intercooled intake with exhaust gas recirculation), fuel ignition characteristics become increasingly important for enabling stable operation. This study explores the effects of chemical composition on the fundamental ignition behavior of gasoline fuels. Two well-characterized, high-octane, non-oxygenated FACE (Fuels for Advanced Combustion Engines) gasolines, FACE F and FACE G, having similar antiknock indices but different octane sensitivities and chemical compositions are studied. Ignition experiments were conducted in shock tubes and a rapid compression machine (RCM) at nominal pressures of 20 and 40 atm, equivalence ratios of 0.5 and 1.0, and temperatures ranging from 650 to 1270 K. Results at temperatures above 900 K indicate that ignition delay time is similar for these fuels. However, RCM measurements below 900 K demonstrate a stronger negative temperature coefficient behavior for the FACE F gasoline having lower octane sensitivity. In addition, RCM pressure profiles under two-stage ignition conditions illustrate that the magnitude of low-temperature heat release (LTHR) increases with decreasing fuel octane sensitivity. However, intermediate-temperature heat release is shown to increase as fuel octane sensitivity increases. Various surrogate fuel mixtures were formulated to conduct chemical kinetic modeling, and complex KAUST multicomponent surrogate mixtures were shown to reproduce experimentally observed trends better than simpler two-and three-component mixtures composed of n-heptane, iso-octane, and toluene. Measurements in a Cooperative Fuels Research (CFR) engine demonstrated that the KAUST multicomponent surrogates accurately captured the antiknock quality of the FACE gasolines. Simulations were performed using multicomponent surrogates for FACE F and G to reveal the underlying chemical kinetics linking fuel composition with ignition characteristics. A key discovery of this work is the kinetic coupling between aromatics and naphthenes, which affects the radical pool population and thereby controls ignition.

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“…A blending optimization tool was used to blend these components to match the experimental fuels auto-ignition characteristics, the final blends are listed in Table 5 [47].…”

Section: Pressure and Heat Release Rate Profiles Validationmentioning

confidence: 99%

Simulating combustion in a PCI (premixed compression ignition) engine using DI-SRM and 3 components surrogate model

Ahmedi

Ahmed

Kalghatgi

2015

Combustion and Flame

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Applying Detailed Kinetics to Realistic Engine Simulation: the Surrogate Blend Optimizer and Mechanism Reduction Strategies

Cited by 59 publications

References 36 publications

Development of a skeletal mechanism for diesel surrogate fuel by using a decoupling methodology

Development of a skeletal mechanism for diesel surrogate fuel by using a decoupling methodology

Compositional effects on the ignition of FACE gasolines

Simulating combustion in a PCI (premixed compression ignition) engine using DI-SRM and 3 components surrogate model

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