Please use this identifier to cite or link to this item:
|Title:||Estimation of dynamic viscosities of vegetable oils using artificial neural networks|
|Keywords:||Dynamic viscosity;Vegetable oils;Artificial neural networks|
|Abstract:||In this study, viscosities of raw sunflower and corn oils are measured at 1°C intervals between 0-100°C. Experimental results are fitted to six equations that are used in viscosity estimation and the correlation coefficients are determined. The best correlation coefficient is obtained using In()=a+b/(T+c) equation with 0.99972 and 0.99974 for sunflower and corn oil, respectively. In addition to this, viscosity values are obtained using artificial neural networks and the results are compared to the equation leading to the best correlation coefficient. Using artificial neural networks, the correlation coefficients are obtained as 0.999907 and 0.999925 for raw sunflower and corn oil respectively.|
|ISSN:||0975-0991 (Online); 0971-457X (Print)|
|Appears in Collections:||IJCT Vol.18(3) [May 2011]|
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.