| Issue |
MATEC Web Conf.
Volume 112, 2017
21st Innovative Manufacturing Engineering & Energy International Conference – IManE&E 2017
|
|
|---|---|---|
| Article Number | 10014 | |
| Number of page(s) | 6 | |
| Section | Energy (Smart Grids, Energy efficiency in buildings, Energy systems and energy management, Energy policies, Environmental technologies and studies, Renewable energy technologies and energy saving materials) | |
| DOI | https://doi.org/10.1051/matecconf/201711210014 | |
| Published online | 03 July 2017 | |
Temperature-dependent viscosity analysis of SAE 10W-60 engine oil with RheolabQC rotational rheometer
1 “Gheorghe Asachi” Technical University of Iași, Department of Fluid Mechanics, Fluid Machinery and Fluid Power Systems, D. Mangeron 59A, Iași, România
2 “Gheorghe Asachi” Technical University of Iași, Department of Mechanical Engineering, Mecatronics and Robotics, D. Mangeron 43, Iași, România
* Corresponding author: dzahariea@yahoo.com
The purpose of this work was to determine a viscositytemperature relationship for SAE 10W-60 engine oil. The rheological properties of this engine oil, for a temperature range of 20÷60 °C, were obtained with RheolabQC rotational rheometer. For the first reference temperature of 40 °C, the experimental result was obtained with a relative error of 1.29%. The temperature-dependent viscosity was modelled, comparatively, with the Arrhenius and the 3rd degree polynomial models. Comparing the graphs of the fits with prediction bounds for 95% confidence level, as well as the goodness-of-fit statistics, the preliminary conclusion was that the 3rd degree polynomial could be the best fit model. However, the fit model should be used also for extrapolation, for the second reference temperature of 100 °C. This new approach changes the fit models order, the Arrhenius equation becoming the best fit model, because of the completely failed to predict the extrapolated value with the polynomial model.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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