کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4921787 | 1429522 | 2017 | 8 صفحه PDF | دانلود رایگان |
Detailed experimental investigations were carried out for microwave pre-treatment of high ash Indian coal at high power level (900Â W) in microwave oven. The microwave exposure times were fixed at 60Â s and 120Â s. A rheology characteristic for microwave pre-treatment of coal-water slurry (CWS) was performed in an online Bohlin viscometer. The non-Newtonian character of the slurry follows the rheological model of Ostwald de Waele. The values of n and k vary from 0.31 to 0.64 and 0.19 to 0.81Â Paâ sn, respectively. This paper presents an artificial neural network (ANN) model to predict the effects of operational parameters on apparent viscosity of CWS. A 4-2-1 topology with Levenberg-Marquardt training algorithm (trainlm) was selected as the controlled ANN. Mean squared error (MSE) of 0.002 and coefficient of multiple determinations (R2) of 0.99 were obtained for the outperforming model. The promising values of correlation coefficient further confirm the robustness and satisfactory performance of the proposed ANN model.
Journal: International Journal of Mining Science and Technology - Volume 27, Issue 2, March 2017, Pages 379-386