Fenômenos de termodinâmica e transferência de calor em sistemas de aquecimento de combustível para partida a frio de motores de combustão interna

Oliveira, Arthur Vieira da Silva; Alegre, Guilherme; Santos, Rogério Gonçalves dos; Windlin, Fernando

doi:10.5151/engpro-simea2016-pap26

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…Further details on thermodynamic and heat transfer phenomena while heating the fuel, as well its positive impact on reducing emissions can be found in studies performed by Oliveira A.V.S. et al (2016) [17] and Sales L.C.M, Sodré J.R. (2012) [18].…”

Section: Aea -Brazilian Society Of Automotive Engineering -Simea 2021mentioning

confidence: 99%

Soluções para Preservar a Competitividade do Motor PFI Flex Fuel para o Proconve L8.

Neves¹,

Cassiani²,

Weissinger³

et al. 2021

Blucher Engineering Proceedings

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This paper evaluates worldwide available and proven standard emission reduction technologies, from both technical and cost perspectives, for in-cylinder, aftertreatment and evaporative control systems to meet PROCONVE L8, the most stringent light vehicles Brazilian emissions legislation to come, which will enter into force in 2025.Results indicate PFI flex fuel 1.0L engine-based solution as the most cost driven pathway. Nevertheless, according to automaker's strategy, TGDI engines may also be considered as an option.

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Section: Aea -Brazilian Society Of Automotive Engineering -Simea 2021mentioning

confidence: 99%

Soluções para Preservar a Competitividade do Motor PFI Flex Fuel para o Proconve L8.

Neves¹,

Cassiani²,

Weissinger³

et al. 2021

Blucher Engineering Proceedings

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“…This happens because common solutions usually consist of single-phase heat transfer processes, like heating diesel fuel to avoid wax crystallization at very low temperatures. Nevertheless, the fuel heating can occur at high heat fluxes and boiling can take place, as it happens in fuel-heating systems for cold-start applications of ethanol-fueled internal combustion engines [33]. In this case, high heating power (about 1000 W) is applied in a small volume of fuel (between 5 and 40 cm 3 ).…”

Section: Introductionmentioning

confidence: 99%

Discrete model to estimate nucleate boiling heat transfer coefficient with gasoline using a double-log-normal distribution function

Netto

Oliveira

Santos

2021

J Braz. Soc. Mech. Sci. Eng.

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Heating fuels before injection into internal combustion engines provides benefits related to the reduction of pollutant emissions and the improvement in cold-start performance. Current fuel-heating solutions used in cold-start systems of ethanolfueled engines in Brazil involve nucleate boiling heat transfer and, in order to extend its use to fossil fuels, further studies are required on the heating process of multicomponent mixtures. Because fuels like gasoline, diesel and kerosene consist of several hundred chemical species, estimating their heat transfer coefficient is virtually impossible unless simpler mixtures, known as surrogates, are used to emulate their targeted behavior. Following this strategy,we present in this paper a predictive method to estimate the nucleate boiling heat transfer coefficient with gasoline. In order to formulate surrogates, probability distribution functions were discretized to ground the choice of components and their respective molar fractions. At first, a traditional gamma distribution function was used but it provided unsatisfying results, so we developed an original one named double-log-normal distribution. Heat transfer coefficients and bubble points estimated at different pressures were compared with experimental data. The best surrogate was a 6-component mixture formulated with the proposed distribution and its application resulted in a 2.3% overall absolute deviation for the heat transfer coefficient estimation at 102 kPa. The model was validated at pressures up to 403 kPa. Finally, a sensitivity analysis of the double-log normal distribution showed the estimated nucleate boiling heat transfer coefficient is nearly the same regardless of gasoline composition variations.

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“…Potential areas where it could be used include the heating of bio-diesel to reduce its viscosity and fuel-heating systems for engine cold-starting and reduced emission of exhaust gases [16,36]. While these might appear to be cases of single-phase heat transfer, boiling may occur as a result of the high power density applied to a small volume of fluid through a small surface area [26].…”

Section: Introductionmentioning

confidence: 99%

Gasoline surrogates in nucleate boiling heat transfer

Oliveira

Alegre²,

Santos

2019

J Braz. Soc. Mech. Sci. Eng.

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Many correlations to estimate the heat transfer coefficient (HTC) in nucleate boiling with binary, ternary or multicomponent mixtures are available in the literature. These correlations are usually based on phase-equilibrium parameters. Direct calculation of the HTC in mixtures with hundreds of components, such as gasoline, is thus practically impossible, as the phaseequilibrium data for such mixtures cannot be easily obtained or calculated. In research fields such as droplet evaporation and mixture thermodynamics, surrogates are constantly used to replace these multicomponent mixtures in calculations; however, this method has not yet been used in boiling research. Here, gasoline surrogates are proposed to estimate the HTC during nucleate boiling. A Monte Carlo search for the optimal composition is used to find the surrogates, and their applicability to gasoline-ethanol blends is evaluated. Two of the surrogates tested matched the experimental data well: surrogate B (16.4% n-butane + 83.6% isooctane) and surrogate C (26.2% n-butane + 42.1% n-hexane + 31.7% isooctane). Both surrogates allowed the HTC for gasoline (3.6% and 3.5% overall average deviation, respectively) and gasoline-ethanol blends (5.6% and 6.9% deviation at 400 kW/m 2 heat flux, respectively) to be estimated accurately.

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Fenômenos de termodinâmica e transferência de calor em sistemas de aquecimento de combustível para partida a frio de motores de combustão interna

Cited by 4 publications

References 6 publications

Soluções para Preservar a Competitividade do Motor PFI Flex Fuel para o Proconve L8.

Soluções para Preservar a Competitividade do Motor PFI Flex Fuel para o Proconve L8.

Discrete model to estimate nucleate boiling heat transfer coefficient with gasoline using a double-log-normal distribution function

Gasoline surrogates in nucleate boiling heat transfer

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