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Indian Journal of Chemical Technology (IJCT) >
IJCT Vol.18 [2011] >
IJCT Vol.18(6) [November 2011] >
| Title: | Estimation of liquid viscosities of oils using associative neural networks |
| Authors: | Neelamegam, P
Krishnaraj, S |
| Keywords: | Andrade equation
Associative neural network
Oil
Regression
Viscosity |
| Issue Date: | Nov-2011 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | Dynamic viscosities of a number of vegetable
oils (castor oil, palm oil, sunflower oil and coconut oil) and lubricant oils
(2T and 4T) have been determined at temperature range 30o - 90oC
using Ubbelohde viscometer. An associative neural network is used to compute
the viscosities of oils for unknown temperatures after training the neural
network with type of oil, temperature as input and viscosity as output.
Predicted results agree well with the experimental results. Simplified and
modified form of Andrade equations that describe the temperature dependence of
dynamic viscosities are fitted to the experimental data and correlations for
the best fit are presented. The results obtained from associative neural
network and best correlation equation show that both predict the viscosities
very well with correlation coefficient R2
= 0.99. |
| Page(s): | 463-468 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-0991 (Online); 0971-457X (Print) |
| Source: | IJCT Vol.18(6) [November 2011]
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