scholarly journals Study of Rheological Behavior of Olive Oil Used as Biodegradable Lubricant

2021 ◽  
Vol 37 (5) ◽  
pp. 1248-1251
Author(s):  
Ioana Stanciu
Keyword(s):  
Experimental Data ◽  
Olive Oil ◽  
Rheological Behavior ◽  
Dynamic Viscosity ◽  
Correlation Coefficients ◽  
Exponential Fitting ◽  
Dependence Relations ◽  
Biodegradable Lubricant ◽  
Newtonian Behavior

In this article, based on experimental data, we obtained three dependence relations of dynamic viscosity versus temperature by polynomial and exponential fitting. The correlation coefficients have values close to unity which proves that the obtained relations accurately describe the non-Newtonian behavior of olive oil.

scholarly journals Study Rheological Behavior of Rapeseed Oils Compared to Mineral Oil

2021 ◽  
Vol 37 (1) ◽  
pp. 247-249
Author(s):  
Ioana Stanciu
Keyword(s):  
Shear Rate ◽  
Rheological Behavior ◽  
Dynamic Viscosity ◽  
Rapeseed Oil ◽  
Mineral Oil ◽  
Dynamic Shear ◽  
Dynamic Temperature ◽  
Biodegradable Lubricant

This article presents the dependence of dynamic temperature viscosity and shear rate for rapeseed oils used as biodegradable lubricant and SAE 10W. The studied rheograms show the dependence of the dynamic shear rate viscosity as well as the dependence of the dynamic temperature viscosity. From the rheograms there is a decrease in the dynamic viscosity with temperature and shear rate for the two oils. The dynamic viscosity of rapeseed oil is most strongly influenced by the shear rate compared to the studied SAE 10W oil. The rheological behavior of rapeseed and mineral oil SAE 10W was studied with the Haake VT 550 viscometer at temperatures between 40 and 1000C.

scholarly journals Rheological Characteristics of Castor oil used as Biodegradable Lubricant

2020 ◽  
Vol 36 (05) ◽  
pp. 973-975
Author(s):  
Ioana Stanciu
Keyword(s):  
Dynamic Viscosity ◽  
Castor Oil ◽  
Correlation Coefficients ◽  
Rheological Characteristics ◽  
Shear Speed ◽  
The One ◽  
Biodegradable Lubricant

In this article I have presented the rheological characteristics of castor oil used as a biodegradable lubricant. The rheograms of castor oil have quite different slopes. The highest slope is at shear speed 3.3s-1, and the smallest slope is at 120s-1. From the representation of the dependence of the dynamic viscosity on the correlation coefficients at all the temperatures at which the castor oil has been was studied, the correlation coefficients have values close to the one value. The correlation coefficients have values between 0.985-0.990.

scholarly journals New relationship to describe the rheology of sunflower oil

2014 ◽  
Vol 25 (1) ◽  
pp. 28-31
Author(s):  
Ioana Stanciu
Keyword(s):  
Experimental Data ◽  
Dynamic Viscosity ◽  
Sunflower Oil ◽  
Correlation Coefficients ◽  
Absolute Temperature ◽  
Shear Rates ◽  
Polynomial Curves ◽  
Temperature Shear

Abstract This paper proposes two new relations of dependence of log dynamic viscosity depending on log absolute temperature shear rates between 3.3 and 120s-1. The constants A, B, and C were determined by Origin 6.0 software by fitting linear or polynomial curves obtained from experimental data. The two proposed relationships give correlation coefficients close to one.

A Study of Flow of Plastics Through Pipes

1946 ◽  
Vol 13 (2) ◽  
pp. A101-A105
Author(s):  
R. C. Binder ◽  
J. E. Busher
Keyword(s):  
Experimental Data ◽  
Reynolds Number ◽  
Friction Coefficient ◽  
Laminar Flow ◽  
Turbulent Flow ◽  
Dynamic Viscosity ◽  
Apparent Viscosity ◽  
Turbulent Viscosity ◽  
Yield Value

Abstract The pipe friction coefficient for true fluids is usually expressed as a function of Reynolds number. This method of organizing data has been extended to tests on the flow of different suspensions which behaved as ideal plastics in the laminar-flow range and as true fluids in the turbulent-flow range. In the laminar-flow range, Reynolds number below about 2100, the denominator in Reynolds number is taken as the apparent viscosity. The apparent viscosity can be determined from the yield value and the coefficient of rigidity. In the turbulent-flow range, the denominator in Reynolds number is an equivalent or turbulent viscosity equal to the dynamic viscosity of a true fluid having the same friction coefficient, velocity, diameter, and density as that of the plastic. The various experimental data on plastics correlate well with this extension of the method for true fluids.

scholarly journals Fractal Properties of Perfusion Heterogeneity in Optimized Arterial Trees

2003 ◽  
Vol 122 (3) ◽  
pp. 307-322 ◽  
Author(s):  
Rudolf Karch ◽  
Friederike Neumann ◽  
Bruno K. Podesser ◽  
Martin Neumann ◽  
Paul Szawlowski ◽  
...  
Keyword(s):  
Experimental Data ◽  
Nearest Neighbor ◽  
Correlation Coefficients ◽  
Fractal Dimensions ◽  
Coronary Perfusion Pressure ◽  
Tree Structure ◽  
Coronary Perfusion ◽  
Tree Model ◽  
Blood Flows ◽  
Regional Blood Flows

Regional blood flows in the heart muscle are remarkably heterogeneous. It is very likely that the most important factor for this heterogeneity is the metabolic need of the tissue rather than flow dispersion by the branching network of the coronary vasculature. To model the contribution of tissue needs to the observed flow heterogeneities we use arterial trees generated on the computer by constrained constructive optimization. This method allows to prescribe terminal flows as independent boundary conditions, rather than obtaining these flows by the dispersive effects of the tree structure. We study two specific cases: equal terminal flows (model 1) and terminal flows set proportional to the volumes of Voronoi polyhedra used as a model for blood supply regions of terminal segments (model 2). Model 1 predicts, depending on the number Nterm of end-points, fractal dimensions D of perfusion heterogeneities in the range 1.20 to 1.40 and positively correlated nearest-neighbor regional flows, in good agreement with experimental data of the normal heart. Although model 2 yields reasonable terminal flows well approximated by a lognormal distribution, it fails to predict D and nearest-neighbor correlation coefficients r1 of regional flows under normal physiologic conditions: model 2 gives D = 1.69 ± 0.02 and r1 = −0.18 ± 0.03 (n = 5), independent of Nterm and consistent with experimental data observed under coronary stenosis and under the reduction of coronary perfusion pressure. In conclusion, flow heterogeneity can be modeled by terminal positions compatible with an existing tree structure without resorting to the flow-dispersive effects of a specific branching tree model to assign terminal flows.

Rheological Behavior of Semisolid Al-6.5wt%Si Alloy under Cyclic Shear Deformation

2011 ◽  
Vol 306-307 ◽  
pp. 104-107
Author(s):  
Hong Chao Luo ◽  
Jun Mei Yang ◽  
Li Yuan Sun ◽  
Li Ping Ju
Keyword(s):  
Experimental Data ◽  
Shear Rate ◽  
Hysteresis Loop ◽  
Shear Deformation ◽  
Rheological Behavior ◽  
Qualitative Agreement ◽  
Volume Fraction ◽  
Solid Volume Fraction ◽  
Cyclic Shear ◽  
The Difference

In the present work, the MCF model for semisolid metal slurries (SSMS) is applied to investigate the thixotropy of the Al-6.5wt%Si alloy under cyclic shear deformation. The study shows that the semisolid Al-6.5wt%Si alloy has the behavior of thixotropy. The area of the hysteresis loop increases with decreasing the up-time, the initial shear rate and increasing resting time, solid volume fraction and maximum shear rate, respectively. These results have qualitative agreement with the experimental data. The origin of the hysteresis loop is atrributed to the difference between the deagglomeration rate and the agglomeration rate.

Dynamic viscosity of olive oil as a function of composition and temperature: A first approach

2011 ◽  
Vol 113 (8) ◽  
pp. 1019-1025 ◽  
Author(s):  
Jean-Philippe Bonnet ◽  
Laurie Devesvre ◽  
Jacques Artaud ◽  
Philippe Moulin
Keyword(s):  
Olive Oil ◽  
Dynamic Viscosity

Designing an artificial neural network to predict dynamic viscosity of aqueous nanofluid of TiO2 using experimental data

2016 ◽  
Vol 75 ◽  
pp. 192-196 ◽  
Author(s):  
Mohammad Hemmat Esfe ◽  
Mohammad Reza Hassani Ahangar ◽  
Mousa Rejvani ◽  
Davood Toghraie ◽  
Mohammad Hadi Hajmohammad
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Artificial Neural Network ◽  
Dynamic Viscosity ◽  
Artificial Neural

Analysis on Factors Affecting Biodiesel Production Rate Based on Probability Theory

2013 ◽  
Vol 860-863 ◽  
pp. 1030-1034
Author(s):  
Yi Wei ◽  
Jing Zhang ◽  
Mu Zhang ◽  
Yin Dong Zhang
Keyword(s):  
Experimental Data ◽  
Probability Theory ◽  
Production Rate ◽  
Reaction Temperature ◽  
Correlation Coefficients ◽  
Biodiesel Production ◽  
Reaction Conditions ◽  
Factors Affecting ◽  
Orthogonal Experiments ◽  
Optimum Reaction

Biodiesel orthogonal experiments require large amount of experimental data collected and in order to save experimental time, referring to the correlation coefficients analysis in probability theory, the factors which affect the yield of biodiesel are analyzed. Under the same reaction temperature, the range order is as follows: the molar ration of alcohol to oil, the dosage of catalyst and reaction of time. At the same time, it provides theoretical guidance for obtaining optimum reaction conditions .

scholarly journals Determination of Rheological Parameters from Measurements on a Viscometer with Coaxial Cylinders – Choice of the Reference Radius

10.14311/892 ◽  
2006 ◽  
Vol 46 (6) ◽  
Author(s):  
F. Rieger
Keyword(s):  
Experimental Data ◽  
Power Law ◽  
Rheological Behavior ◽  
Experimental Results ◽  
Rheological Parameters ◽  
Concentrated Suspensions ◽  
Rotational Viscometer ◽  
Coaxial Cylinders

Knowledge about rheological behavior is necessary in engineering calculations for equipment used for processing concentrated suspensions and polymers. Power-law and Bingham models are often used for evaluating the experimental data. This paper proposes the reference radius to which experimental results obtained by measurements on a rotational viscometer with coaxial cylinders should be related. 

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