A parametric model for predicting cut point of hydraulic classifiers

سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 440

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شناسه ملی سند علمی:

JR_JMAE-5-1_005

تاریخ نمایه سازی: 13 مرداد 1394

چکیده مقاله:

A new parametric model was developed to predict the cut point of hydraulic classifiers. The model directly uses operating parameters including pulp flowrate, feed particle size characteristics, pulp solids content, soliddensity and particles retention time in the classification chamber and also covers uncontrollable errors using calibration constants. The model applicability was first verified using a bench scale classifier and thenvalidated at industrial scale for a coal classifier. The results showed that the new model can predict the cut point more precisely compared to the conventional Masliyah model, i.e. the accuracy values of 80% and 37%for the new and Masliyah models, respectively. Sensitivity study showed that the model was extremely sensitive to the particle size distribution of feed while being least sensitive to the particles retention time.

نویسندگان

H Khoshdast

Mining Engineering Department, College of Mining and Industry, Shahid Bahonar University, Zarand