Results 241 to 250 of about 323,219 (285)
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Prediction of Flash-Point Temperature of Alcohol/Biodiesel/Diesel Fuel Blends
Industrial & Engineering Chemistry Research, 2019Significant advances have been achieved in the last decades for predicting flash point, not only for pure substances but also for multicomponent fuels, even if they are complex nonideal mixtures.
Arnaldo Álvarez +2 more
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Experiment Study on Aviation Kerosene's Flash Point Temperature of Low Pressure Environment
Advanced Materials Research, 2011Flash point is one of the major physical and chemical properties used to determine the fire and explosion hazards of liquids; therefore, the prediction of flash point is an important safety consideration. However, the study on flash point and the correlation between flash point and pressure has been inadequate, and needs further investigation.
Yan Fei Tang, Lei Yin, Yi Niu, Jian Wang
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A simple accurate model for prediction of flash point temperature of pure compounds
Journal of Thermal Analysis and Calorimetry, 2011In this study, a simple three-parameter linear model is presented for estimation of flash point (FP) of pure compounds. The parameters of the model contain experimental normal boiling point of the compound and two chemical structure-based parameters.
Farhad Gharagheizi +2 more
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A new group contribution-based method for estimation of flash point temperature of alkanes
Journal of Central South University, 2015Flash point is a primary property used to determine the fire and explosion hazards of a liquid. New group contribution-based models were presented for estimation of the flash point of alkanes by the use of multiple linear regression (MLR) and artificial neural network (ANN). This simple linear model shows a low average relative deviation (AARD) of 2.8%
Yi-min Dai +7 more
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QSAR & Combinatorial Science, 2008
AbstractIn this work, a general Quantitative Structure–Property Relationship (QSPR) model ($\rm{ R^2 = 0.9669}$, $\rm{ Q_{{\rm{LOO}}}^{\rm{2}} = 0.9663}$, and $\rm{ s = 12.691}$) for the prediction of flash points of 1030 pure compounds is developed.
Farhad Gharagheizi +1 more
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AbstractIn this work, a general Quantitative Structure–Property Relationship (QSPR) model ($\rm{ R^2 = 0.9669}$, $\rm{ Q_{{\rm{LOO}}}^{\rm{2}} = 0.9663}$, and $\rm{ s = 12.691}$) for the prediction of flash points of 1030 pure compounds is developed.
Farhad Gharagheizi +1 more
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Fluid Phase Equilibria, 2012
Abstract The accuracy and predictability of correlations and models to determine the flammability characteristics of chemical compounds are of drastic significance in various chemical industries. In the present study, the main focus is on introducing and applying the gene expression programming (GEP) mathematical strategy to develop a comprehensive ...
Gharagheizi, Farhad +3 more
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Abstract The accuracy and predictability of correlations and models to determine the flammability characteristics of chemical compounds are of drastic significance in various chemical industries. In the present study, the main focus is on introducing and applying the gene expression programming (GEP) mathematical strategy to develop a comprehensive ...
Gharagheizi, Farhad +3 more
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Estimation of flash point temperature
Journal of Chemical Education, 1973A simple technique for determining the approximate flash point temperature of a compound, knowing only its atomic composition and boiling point, has been developed from experimental data and some theoretical considerations.
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Journal of Chemical & Engineering Data, 2012
A new universal method to predict the properties of organic compounds named as the positional distributive contribution method has recently been proposed by our group, which has successfully been used for the prediction of critical properties (Tc, Pc, Vc, Zc), normal boiling point (Tb), normal melting point (Tm), enthalpy of vaporization at the normal ...
Qingzhu Jia +5 more
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A new universal method to predict the properties of organic compounds named as the positional distributive contribution method has recently been proposed by our group, which has successfully been used for the prediction of critical properties (Tc, Pc, Vc, Zc), normal boiling point (Tb), normal melting point (Tm), enthalpy of vaporization at the normal ...
Qingzhu Jia +5 more
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Energy & Fuels, 2008
In the present study, a new collection of 79 functional groups are used to correlate flash point temperature (FP) of pure components. These functional groups construct an accurate neural network−group contribution correlation to estimate flash point of pure components. For developing the model, 1378 pure components of various chemical families are used.
Farhad Gharagheizi +2 more
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In the present study, a new collection of 79 functional groups are used to correlate flash point temperature (FP) of pure components. These functional groups construct an accurate neural network−group contribution correlation to estimate flash point of pure components. For developing the model, 1378 pure components of various chemical families are used.
Farhad Gharagheizi +2 more
openaire +1 more source
Tribology Transactions, 1989
General Elastohydrodynamic Lubrication Code (GEHLC) is a FORTRAN code for calculating the lubrication performance of line and point contacts used in machine elements such as gears, rolling bearings, cam and follower systems, and traction drives, etc. It adopts the most recent results published by Chittenden and Dowson et al. (1), to evaluate isothermal
D. Zhu, H. S Cheng
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General Elastohydrodynamic Lubrication Code (GEHLC) is a FORTRAN code for calculating the lubrication performance of line and point contacts used in machine elements such as gears, rolling bearings, cam and follower systems, and traction drives, etc. It adopts the most recent results published by Chittenden and Dowson et al. (1), to evaluate isothermal
D. Zhu, H. S Cheng
openaire +1 more source