scholarly journals Cluster-associate Model Of Temperature Dependence Of Dynamic Viscosity Of Aluminium Oxide

2016 ◽  
Vol 2016 (4) ◽  
pp. 51-53
Author(s):  
V.P. Malyshev ◽  
◽  
A.M. Makasheva ◽  
Ya.A. Bugaeva ◽  
Yu.S. Zubrina ◽  
...  

2003 ◽  
Vol 217 (6) ◽  
pp. 707-722 ◽  
Author(s):  
A. A. Ruth ◽  
H. Lesche ◽  
B. Nickel

AbstractThe dynamic viscosity (η) of the glass-forming 50:50 mixture of cis-1,4/trans-1,3-dimethylcyclohexane (ct-DMCH) was measured from 293 K down to ≈ 126 K where η ~ 1.2 × 106 mPas. The viscosity measurements of several other commonly used solvents cover the range from 293 K down to ≈ 148 K (η ~ 1.4 × 104 mPas) for 1-propanol (1-Prop), to ≈118 K (η ~ 2.5 × 102 mPas) for 2-methylpentane (2-MP), to ≈ 167 K (η ~ 10.0 mPas) for isooctane (Isooct), to ≈ 183 K (η ~ 2.8 mPas) for cyclopentane (CP) and down to ≈ 98 K (η ~ 4.6 × 102 mPas) for the 30:70 mixture of cyclopentane/isopentane (CP/IP). The density (ρ) of all solvents was measured correspondingly over appropriate temperature ranges. For the solvents studied here, the temperature dependence of the viscosity can be represented by a single Arrhenius term down to ~180 K. Over a wider temperature range down to ~118K the sum of two Arrhenius terms is required, and in the low temperature regime a Vogel–Tammann–Fulcher expression is necessary to adequately describe the temperature dependence of the dynamic viscosity.



2020 ◽  
Vol 39 (2) ◽  
pp. 424-432
Author(s):  
M. Ogbonnaya ◽  
O.O. Ajayi ◽  
M.A. Waheed

This paper presents the rheological measurement of aluminium oxide (Al2O3) nanolubricant. The nanolubricant was prepared using the two-step method from dry Al2O3 nanoparticles and Capella D lubricant as base fluid. The dynamic viscosity of the Al2O3 nanolubricant at constant shear rate was measured at atmospheric pressure in the temperature range of 278 K to 323 K for pure based lubricant along with nanolubricant mass concentration of 1%, 2% and 4% with nanoparticle size of 10 nm, 20-30 nm and 80 nm. The measured data was analysed using the linear fit and exponential function fit. The result showed that at constant particle size and concentration, the dynamic viscosity reduces with increase in temperature while at constant temperature, the viscosity increased with nanoparticle concentration. The exponential function fit regression best describe the relationship between the viscosity and temperature when compared with the linear fit regression while the polynomial function fit best describe the relationship between the viscosity and mass concentration. Keywords: Dynamic viscosity, nanolubricant, shear rate, regression, concentration, temperature



Author(s):  
Vojtěch Kumbár ◽  
Adam Polcar ◽  
Jiří Čupera

The objective of this paper is to find changes of a rheological profile of the new engine oil if the used engine oil will be add. And also find changes of a rheological profile of the used engine oil if the new engine oil will be add. For these experiments has been created the blends of the new and the used engine oil. The temperature dependence of the density [kg.m−3] has been measured in the range of −10 °C and +60 °C. The instrument Densito 30PX with the scale for measuring engine oils has been used. The dynamic viscosity [mPa.s] has been measured in the range of −10 °C and +100 °C. The Anton Paar digital viscometer with the concentric cylinders geometry has been used. In the accordance with the expected behaviour, the density and the kinematic viscosity of all oils was decreasing with the increasing temperature. To the physical properties has been the mathematical models created. For the temperature dependence of the density has been used the linearly mathematical model and the exponentially mathematical model. For the temperature dependence of the dynamic viscosity has been used the polynomial 6th degree. The knowledge of density and viscosity behaviour of an engine oil as a function of its temperature is of great importance, especially when considering running efficiency and performance of combustion engines. Proposed models can be used for description and prediction of rheological behaviour of engine oils.



2021 ◽  
pp. 26-30
Author(s):  
G.R. Gurbanov ◽  
◽  
P.F. Ahmadov ◽  

The temperature dependence of physical-chemical and biological properties of high-paraffin oil was studied in laboratory conditions. The experiments were carried out on the oil samples without agents and with addition of 800 g/t composition developed at the ratio of Difron-4201 + Difron-3705 = 1:1. The increase in the density for 3.8 %, in the ratio of surface tension for 16 %, in the ratio of kinematic and dynamic viscosity up to 88 %, as well as in the ratio of the thermal expansion for 50.11 % was observed in the samples without agents in the temperature rise to 50K. In the samples included in the composition, the surface tension, kinematic and dynamic viscosity sharply decresed in all temperature fields compared to the samples without agents, the density practically did not change, and the ratio of thermal expansion volume slightly differed in all temperature fields.





2015 ◽  
Vol 45 (4) ◽  
pp. 254-258
Author(s):  
V. Kumbár ◽  
J. Votava

Abstract The effect of the rapeseed oil methyl ester (RME) component in diesel fuel was assessed. Dynamic viscosity and density of blends were particularly observed. Measurements were performed at standard constant temperature. Increasing ratio of RME in diesel fuel was reflected in increased density value and dynamic viscosity of the blend. In the case of pure RME, pure diesel fuel, and the blend of both, temperature dependence of dynamic viscosity and density was examined. Considerable temperature dependence of dynamic viscosity and density was found out and demonstrated for all three samples. This finding is in accordance with theoretical assumptions and literature data sources. Mathematical models were developed and tested. Temperature dependence of dynamic viscosity was modelled using the 3rd degree polynomial. Temperature dependence of density was modelled using the 2nd degree polynomial. The proposed models can be used for flow behaviour prediction of RME, diesel fuel, and their blends.







2012 ◽  
Vol 23 (1) ◽  
pp. 27-30 ◽  
Author(s):  
Ioana Stanciu

AbstractThis article proposes four relationships of dynamic viscosity temperature dependence for a nonaddtivated mineral oil. The purpose of this study was to find a polynomial or exponential dependence between temperature and dynamic viscosity of mineral oil, using the Andrade equation changes. Equation constants A, B, C and D were determined by fitting polynomial or exponential.



Author(s):  
Vojtěch Kumbár ◽  
Petr Dostál

Evaluating of oils condition in agricultural machinery is very important. With monitoring and evaluating we can prevent technical and economic losses. In this paper there were monitored the liquid lubricants taken from mobile thresher New Holland CX 860. Chemical and viscosity degradation of the lubricants were evaluated. Temperature dependence dynamic viscosity was observed in the range of temperature from −10 °C to 80 °C (for all oils). Considerable temperature dependence dynamic viscosity was found and demonstrated in case of all samples, which is in accordance with theoretical assumptions and literature data. Mathematical models were developed and tested. Temperature dependence dynamic viscosity was modeled using a polynomial 6th degree. The proposed models can be used for prediction of flow behavior of oils.



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