期刊
JOURNAL OF MOLECULAR LIQUIDS
卷 277, 期 -, 页码 921-931出版社
ELSEVIER
DOI: 10.1016/j.molliq.2018.08.047
关键词
Nanolubricant viscosity; Mathematical correlation; Optimization; MWCNTs-ZnO(10%-90%)/5W50; Artificial neural network (ANN)
This research presents the design of an artificial neural network (ANN) and experimental evaluation of MWCNTs-ZnO(10%-90%)/5W50 nanolubricant at different temperatures and shear rates, and presentation of a mathematical correlation to predict viscosity and its optimization. The nanofluid experimental evaluation was carried out at the solid volume fractions of 0.05, 0.1, 0.25, 0.5, 0.75 and 1% and the temperature range of 5 to 55 degrees C. Nanofluid viscosity optimization was performed with respect to temperature, volume fraction, and shear rates. A point at the temperature of 54.29 degrees C, solid volume fraction of 0.1%, and shear rate of 1029.89 (1/s) had the optimal minimum viscosity of 38.1654 mPa.s. The ANN designed for the nanofluid included two hidden layers with an optimal structure with 3 neurons in the first layer and 3 neurons in the second layer. The value of R for this neural network was 0.9998057. In the final stage, ANN data have an error lower than 7%. This research reports the ANN model parameters. (C) 2018 Published by Elsevier B.V.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据