Heat of Vaporization of Mixtures.

Ito, Tetsuo; 猛宏, 伊藤; 朝彦, 山口; Yamaguchi, Tomohiko; Akasaka, Ryo; 亮, 赤坂

doi:10.1299/kikaib.62.700

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“…Note that the ethanol used was not pure and composition values are listed in the Appendix in Table A1. It is very difficult to calculate heat of vaporization of mixtures (Ito, 1996), thus for this comparison pure property values are used. The calculated values over-predict the mass flux by almost a factor of two for all fuels except heptane.…”

Section: Comparison Of Fuel Regression Rate Model With Datamentioning

confidence: 99%

Assessment of simulation predictions of hydrocarbon pool fire tests.

Luketa-Hanlin¹

2010

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An uncertainty quantification (UQ) analysis is performed on the fuel regression rate model within SIERRA/Fuego by comparing to a series of hydrocarbon tests performed in the Thermal Test Complex. The fuels used for comparison for the fuel regression rate model include methanol, ethanol, JP8, and heptane. The recently implemented flamelet combustion model is also assessed with a limited comparison to data involving measurements of temperature and relative mole fractions within a 2m diameter methanol pool fire. The comparison of the current fuel regression rate model to data without UQ indicates that the model over predicts the fuel regression rate by 65% for methanol, 63% for ethanol, 95% for JP8, and 15% for heptane. If a UQ analysis is performed incorporating a range of values for transmittance, reflectance, and heat flux at the surface the current model predicts fuel regression rates within 50% of measured values. An alternative model which uses specific heats at inlet and boiling temperatures respectively and does not approximate the sensible heat is also compared to data. The alternative model with UQ significantly improves the comparison to within 25% for all fuels except heptane. Even though the proposed alternative model provides better agreement to data, particularly for JP8 and ethanol (within 15%), there are still outstanding issues regarding significant uncertainties which include heat flux gauge measurement and placement, boiling at the fuel surface, large scale convective motion within the liquid, and semi-transparent behavior.

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Section: Comparison Of Fuel Regression Rate Model With Datamentioning

confidence: 99%

Assessment of simulation predictions of hydrocarbon pool fire tests.

Luketa-Hanlin¹

2010

View full text Add to dashboard Cite

show abstract

Heat of Vaporization of Mixtures.

Cited by 1 publication

References 0 publications

Assessment of simulation predictions of hydrocarbon pool fire tests.

Assessment of simulation predictions of hydrocarbon pool fire tests.

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