کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4921787 1429522 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Artificial neural network approach for rheological characteristics of coal-water slurry using microwave pre-treatment
ترجمه فارسی عنوان
روش شبکه عصبی مصنوعی برای ویژگی های رئولوژیکی دوغاب زغال سنگ با استفاده از پیش آماده سازی مایکروویو
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی اقتصادی
چکیده انگلیسی

Detailed experimental investigations were carried out for microwave pre-treatment of high ash Indian coal at high power level (900 W) in microwave oven. The microwave exposure times were fixed at 60 s and 120 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 0.81 Pa⋅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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Mining Science and Technology - Volume 27, Issue 2, March 2017, Pages 379-386
نویسندگان
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