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Energy & Fuels, 2018
In the present study, hierarchical cluster analysis was used to select 150 S500 diesel fuel samples from an initial set of 1320 samples assayed through official standards according to ANP Brazilian Regulation No. 50/2013. Four physicochemical properties were analyzed, namely, relative density, distillation temperatures (T10%, T50%, and T85%), flash ...
Lídia Renata Zanão +4 more
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In the present study, hierarchical cluster analysis was used to select 150 S500 diesel fuel samples from an initial set of 1320 samples assayed through official standards according to ANP Brazilian Regulation No. 50/2013. Four physicochemical properties were analyzed, namely, relative density, distillation temperatures (T10%, T50%, and T85%), flash ...
Lídia Renata Zanão +4 more
openaire +2 more sources
Chemistry and Technology of Fuels and Oils, 2019
A number of experimental measurements of the flash point of multicomponent mixtures were performed. A number of various theoretical models with experimental data has shown that traditional calculation models do not take into account the effect of high vapor pressure on the flash point temperature.
Kan Wang, Yuru He
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A number of experimental measurements of the flash point of multicomponent mixtures were performed. A number of various theoretical models with experimental data has shown that traditional calculation models do not take into account the effect of high vapor pressure on the flash point temperature.
Kan Wang, Yuru He
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THE EFFECT OF ULLAGE ON THE FLASH POINT AND LOWER FLAMMABILITY LIMIT TEMPERATURES OF JP-5 JET FUELS
1966Abstract : From theoretical considerations it can be shown that the relative size of the free-space (ullage) above a liquid fuel mixture can be a significant factor in the flammability properties of such a system. A simple apparatus has been used to test the effect of ullage on flash point and lower flammability limit temperatures of JP-5 jet fuels ...
H. W. Carhart, W. A. Affens
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Chinese Journal of Chemical Engineering, 2010
Abstract The flash points of organic compounds were estimated using a hybrid method that includes a simple group contribution method (GCM) implemented in an artificial neural network (ANN) with particle swarm optimization (PSO). Different topologies of a multilayer neural network were studied and the optimum architecture was determined. Property data
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Abstract The flash points of organic compounds were estimated using a hybrid method that includes a simple group contribution method (GCM) implemented in an artificial neural network (ANN) with particle swarm optimization (PSO). Different topologies of a multilayer neural network were studied and the optimum architecture was determined. Property data
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Process Safety and Environmental Protection, 2015
Abstract A QSPR method is presented for predicting the flash point temperature (FPT) of pure compounds in the transportation fuels range. A structural group contribution method is used to determine the flash point temperature using two techniques: multivariable nonlinear regression and artificial neural networks.
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Abstract A QSPR method is presented for predicting the flash point temperature (FPT) of pure compounds in the transportation fuels range. A structural group contribution method is used to determine the flash point temperature using two techniques: multivariable nonlinear regression and artificial neural networks.
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An easy method for reliable valuation of flash point temperature of organic ethers
Fuel, 2023Behzad Nazari +2 more
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Management of Closed Flash Point Temperature – An Eleven-Year Case Study
Heat Transfer Engineering, 2021openaire +1 more source
Chemometrics and Intelligent Laboratory Systems, 2023
Zeinab Heidari, Mohammad Amin Sobati
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Zeinab Heidari, Mohammad Amin Sobati
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FLASH POINT. PART III. CALCULATION VIA A BOILING TEMPERATURE
ПОЖАРОВЗРЫВОБЕЗОПАСНОСТЬ, 2014S. G. ALEXEEV +3 more
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Flash Point and Autoignition Temperatures
1997Carl L. Yaws, Sachin D. Sheth, Mei Han
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