A parametric model for predicting cut point of hydraulic classifiers | ||
| Journal of Mining and Environment | ||
| مقاله 5، دوره 5، شماره 1، فروردین 2014، صفحه 47-54 اصل مقاله (480.35 K) | ||
| نوع مقاله: Case Study | ||
| شناسه دیجیتال (DOI): 10.22044/jme.2014.270 | ||
| نویسنده | ||
| Hamid Khoshdast* | ||
| Mining Engineering Department, College of Mining and Industry, Shahid Bahonar University | ||
| چکیده | ||
| A new parametric model was developed for predicting cut point of hydraulic classifiers. The model directly uses operating parameters including pulp flowrate, feed particle size characteristics, pulp solids content, solid density 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 then, validated at industrial scale for a coal classifier. 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. | ||
| کلیدواژهها | ||
| modeling؛ operating parameters؛ Cut Point؛ hydraulic classifier | ||
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آمار تعداد مشاهده مقاله: 2,808 تعداد دریافت فایل اصل مقاله: 2,053 |
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