A radioisotopic tracer study of carbon formation in ethanol-air diffusion flames

Lieb, D.F.; Roblee, L.H.S.

doi:10.1016/s0010-2180(70)80042-6

Cited by 21 publications

(15 citation statements)

References 13 publications

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“…The mechanism of ethene formation via decomposition of the C2H40H radical was proposed by various investigators ([1, 2,6,9,12]) and has recently been proven unambiguously by Tully et al ( [14,15]) in fundamental kinetic studies of the C2H50H + OH and C2H4 + OH reactions. However, the previous modeling studies of ethanol oxidation have included only the CH3CHOH radical isomer and, therefore, have not adequately treated ethene formation.…”

Section: Introductionmentioning

confidence: 97%

An experimental and modeling study of ethanol oxidation kinetics in an atmospheric pressure flow reactor

Norton¹,

Dryer²

1992

Int J of Chemical Kinetics

102

120

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Experimental profiles of stable species concentrations and temperature are reported for the flow reactor oxidation of ethanol at atmospheric pressure, initial temperatures near 1100 K and equivalence ratios of 0.61-1.24. Acetaldehyde, ethene, and methane appear in roughly equal concentrations as major intermediate species under these conditions. A detailed chemical mechanism is validated by comparison with the experimental species profiles. The importance of including all three isomeric forms of the C2H50 radical in such a mechanism is demonstrated. The primary source of ethene in ethanol oxidation is verified to be the decomposition of the C2H4OH radical. The agreement between the model and experiment at 1100 K is optimized when the branching ratio of the reactions of CzH50H with OH and H is defined by (30% C2H40H + 50% CHsCHOH + 20% CH3CH20) + XH. As in methanol oxidation, HOn chemistry is very important, while the H + 0 2 chain branching reaction plays only a minor role until late in fuel decay, even at temperatures above 1100 K.

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Section: Introductionmentioning

confidence: 97%

An experimental and modeling study of ethanol oxidation kinetics in an atmospheric pressure flow reactor

Norton¹,

Dryer²

1992

Int J of Chemical Kinetics

102

120

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“…These modeling efforts focused on problems of ethanol ignition delay from shock tubes [2,3,4,7], ethanol laminar flame speeds in burners [4,7], and product profiles from ethanol pyrolysis and oxidation studies in static [5], turbulent flow [4,6], and jet-stirred reactors [7]. Additional evidence of mechanistic features important to describing ethanol reaction kinetics from static [8 -11] and flow reactors [12 -14], and information on autoignition characteristics in a rapid compression machine [15] and combustion bomb [16], pressure, tem-perature, and mixture strength effects on flame propagation rates [17] or modes of formation of soot in diffusion flames [18,19] have proven to be useful for ethanol model development. These experimental works have been previously summarized [6] and no further elaboration will be presented.…”

Section: Introductionmentioning

confidence: 99%

A detailed chemical kinetic model for high temperature ethanol oxidation

Marinov

1999

Int. J. Chem. Kinet.

700

543

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A detailed chemical kinetic model for ethanol oxidation has been developed and validated against a variety of experimental data sets. Laminar flame speed data (obtained from a constant volume bomb and counterflow twin-flame), ignition delay data behind a reflected shock wave, and ethanol oxidation product profiles from a jet-stirred and turbulent flow reactor were used in this computational study. Good agreement was found in modeling of the data sets obtained from the five different experimental systems. The computational results show that high temperature ethanol oxidation exhibits strong sensitivity to the fall-off kinetics of ethanol decomposition, branching ratio selection for C H OH ϩ OH 4 Products,

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“…Several previous studies have used ethanol diffusion flames to determine the flame structure [8][9][10] or to investigate soot formation [11]. Product profiles from ethanol pyrolysis and oxidation studies in static reactors [12][13][14][15][16][17][18][19], flow reactors [20][21][22], and jet-stirred reactors [23] add to the experimental data base.…”

Section: Introductionmentioning

confidence: 99%