Kinematic viscosity-composition data for eight binary systems containing toluene or ethylbenzene and C8-C16 n-alkanes at 308.15 and 313.15 K

1991 ◽  
Vol 36 (3) ◽  
pp. 281-284 ◽  
Author(s):  
Triantafillos D. Vavanellos ◽  
Abdul Fattah A. Asfour ◽  
Mohammad H. Siddique
Keyword(s):  
Kinematic Viscosity ◽  
Binary Systems ◽  
Composition Data

scholarly journals Artificial Neural Network Models for Prediction of Density and Kinematic Viscosity of Different Systems of Biofuels and Their Blends with Diesel Fuel. Comparative Analysis

2020 ◽  
Vol 69 (7-8) ◽  
pp. 355-364
Author(s):  
Souad Belmadani ◽  
Mabrouk Hamadache ◽  
Cherif Si-Moussa ◽  
Maamar Laidi ◽  
Salah Hanini
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Diesel Fuel ◽  
Kinematic Viscosity ◽  
Binary Systems ◽  
Correlation Coefficients ◽  
Network Models ◽  
Neural Network Models ◽  
Experimental Database ◽  
Artificial Neural

In the present article, two models based on the artificial neural network methodology (ANN) have been optimised to predict the density (ρ) and kinematic viscosity (μ) of different systems of biofuels and their blends with diesel fuel. An experimental database of 1025 points, including 34 systems (15 pure systems, 14 binary systems, and 5 ternary systems) was used for the development of these models. These models use six inputs, which are temperature (T) in the range of −10 – 200 °C, volume fractions (X1, X2, X3) in the range of 0–1, and to distinguish these systems, we used kinematic viscosity at 20 °C in the range of 0.67–74.19 mm2 s–1 and density at 20 °C in the range of 0.7560–0.9188 g cm–3. The best results were obtained with the architecture of {6-26-2: 6 neurons in the input layer – 26 neurons in the hidden layer – 2 neurons in the output layer}. Results of comparison between experimental and simulated values in terms of the correlation coefficients were: R2 = 0.9965 for density, and R2 = 0.9938 for kinematic viscosity. A 238 new database experimental of 4 systems (2 pure systems, 1 binary system, and 1 ternary system) was used to check the accuracy of the two ANN models previously developed. Results of prediction performances in terms of the correlation coefficients were: R2 = 0.9980 for density, and R2 = 0.9653 for kinematic viscosity. Comparison of validation results with those of the other studies shows that the neural network models gave far better results.

AApplication of the Congruence Principle to Viscosities of 1-Chloroalkane Binary Mixtures

1971 ◽  
Vol 49 (16) ◽  
pp. 2631-2635 ◽  
Author(s):  
B. M. Coursey ◽  
E. L. Heric
Keyword(s):  
Free Energy ◽  
Gibbs Free Energy ◽  
Chain Length ◽  
Kinematic Viscosity ◽  
Binary Systems ◽  
Excess Gibbs Free Energy ◽  
Average Chain Length ◽  
Free Energy Of Activation ◽  
Congruence Principle ◽  
Chain Lengths

Viscosities are reported at 25 °C in five 1-chloroalkane binary systems. Mixture data are presented both as kinematic viscosity and as excess Gibbs free energy of activation for flow. The latter quantity is correlated with the average chain length in the mixtures by graphical and analytical forms of Brønsted and Koefoed's principle of congruence. This correlation serves as a basis for prediction of mixture viscosities for 1-chloroalkane pairs having chain lengths within the observed extremes: 1-chlorobutane and 1-chlorooctadecane. Errors as kinematic viscosity by this method are less than 5.5% for the systems studied.

Effect of Random Errors and Bias of Isobaric Equilibrium x, y and t Data of LiquidVapour Binary Systemson the Calculated Number of Theoretical Plates of a Rectification Column

1994 ◽  
Vol 59 (4) ◽  
pp. 841-854
Author(s):  
Ján Dojčanský ◽  
Soňa Bafrncová ◽  
Július Surový
Keyword(s):  
Phase Composition ◽  
Binary Systems ◽  
Random Errors ◽  
Rectification Column ◽  
Relative Volatility ◽  
Composition Data ◽  
Calculated Number ◽  
Theoretical Plates

The effect of random errors and bias of temperature and phase composition data in the isobaric L-G equilibrium on the calculated number of theoretical plates of a continuously working rectification column at various reflux ratios was investigated. Five model binary systems exhibiting different behaviour and relative volatility were used.

Density-composition data for eight binary systems containing toluene or ethylbenzene and C8-C16 n-alkanes at 293.15, 298.15, 308.15, and 313.15 K

1990 ◽  
Vol 35 (2) ◽  
pp. 192-198 ◽  
Author(s):  
Abdul Fattah A. Asfour ◽  
Mohammad H. Siddique ◽  
Triantafillos D. Vavanellos
Keyword(s):  
Binary Systems ◽  
Composition Data

Some Results of the Spectroscopic Study of Four Close Binary Systems of Early Spectral Types

1965 ◽  
Vol 5 ◽  
pp. 120-130
Author(s):  
T. S. Galkina
Keyword(s):  
Spectroscopic Study ◽  
Spectral Type ◽  
Spectroscopic Investigation ◽  
Binary Systems ◽  
Quantitative Information ◽  
Close Binary ◽  
Physical Parameters ◽  
Absorption And Emission ◽  
Close Binary Systems ◽  
Quantitative Estimates

It is necessary to have quantitative estimates of the intensity of lines (both absorption and emission) to obtain the physical parameters of the atmosphere of components.Some years ago at the Crimean observatory we began the spectroscopic investigation of close binary systems of the early spectral type with components WR, Of, O, B to try and obtain more quantitative information from the study of the spectra of the components.

Quasi-Periodic Oscillations in Dwarf Novae

1979 ◽  
Vol 46 ◽  
pp. 77-88
Author(s):  
Edward L. Robinson
Keyword(s):  
Binary Systems ◽  
Outer Edge ◽  
Light Curves ◽  
Close Binary ◽  
Bright Spot ◽  
Dwarf Novae ◽  
Periodic Oscillations ◽  
High Frequencies ◽  
Short Period ◽  
Typical Time

Three distinct kinds of rapid variations have been detected in the light curves of dwarf novae: rapid flickering, short period coherent oscillations, and quasi-periodic oscillations. The rapid flickering is seen in the light curves of most, if not all, dwarf novae, and is especially apparent during minimum light between eruptions. The flickering has a typical time scale of a few minutes or less and a typical amplitude of about .1 mag. The flickering is completely random and unpredictable; the power spectrum of flickering shows only a slow decrease from low to high frequencies. The observations of U Gem by Warner and Nather (1971) showed conclusively that most of the flickering is produced by variations in the luminosity of the bright spot near the outer edge of the accretion disk around the white dwarf in these close binary systems.

Bence-albee after 25 years: A new superior α-factor correction procedure for the quantitative analysis of oxides and silicates

1992 ◽  
Vol 50 (2) ◽  
pp. 1744-1745
Author(s):  
John T. Armstrong
Keyword(s):  
Quantitative Analysis ◽  
Electron Microprobe ◽  
Binary Systems ◽  
Correction Procedure ◽  
Geological Samples ◽  
The Past ◽  
Large Matrix ◽  
Computational Speed ◽  
Microprobe Data ◽  
Geological Sciences

One of the most cited papers in the geological sciences has been that of Albee and Bence on the use of empirical " α -factors" to correct quantitative electron microprobe data. During the past 25 years this method has remained the most commonly used correction for geological samples, despite the facts that few investigators have actually determined empirical α-factors, but instead employ tables of calculated α-factors using one of the conventional "ZAF" correction programs; a number of investigators have shown that the assumption that an α-factor is constant in binary systems where there are large matrix corrections is incorrect (e.g, 2-3); and the procedure’s desirability in terms of program size and computational speed is much less important today because of developments in computing capabilities. The question thus exists whether it is time to honorably retire the Bence-Albee procedure and turn to more modern, robust correction methods. This paper proposes that, although it is perhaps time to retire the original Bence-Albee procedure, it should be replaced by a similar method based on compositiondependent polynomial α-factor expressions.

Fractionation of polymethylene chains: An electron crystallographic investigation

1986 ◽  
Vol 44 ◽  
pp. 794-795
Author(s):  
Douglas L. Dorset
Keyword(s):  
Cross Section ◽  
Binary Systems ◽  
Linear Chain ◽  
Pure Component ◽  
Organic Substrates ◽  
Crystallographic Investigation ◽  
X Ray Diffraction ◽  
X Ray ◽  
Molecular Sizes ◽  
The Stability

A variety of linear chain materials exist as polydisperse systems which are difficultly purified. The stability of continuous binary solid solutions assume that the Gibbs free energy of the solution is lower than that of either crystal component, a condition which includes such factors as relative molecular sizes and shapes and perhaps the symmetry of the pure component crystal structures.Although extensive studies of n-alkane miscibility have been carried out via powder X-ray diffraction of bulk samples we have begun to examine binary systems as single crystals, taking advantage of the well-known enhanced scattering cross section of matter for electrons and also the favorable projection of a paraffin crystal structure posited by epitaxial crystallization of such samples on organic substrates such as benzoic acid.

Sign in / Sign up

Export Citation Format

Share Document