2016-Sustainable Industrial Processing Summit
SIPS 2016 Volume 5: Starkey Intl. Symp. / Mineral Processing
| Editors: | Kongoli F, Kumar P, Senchenko A, Klein B, Silva A.C., Sun C, Mingan W |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2016 |
| Pages: | 270 pages |
| ISBN: | 978-1-987820-44-7 |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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HPGR Performance: Laboratory to Plant operations
Nikhil Dhawan1;1IIT-ROORKEE, roorkee, India;
Type of Paper: Regular
Id Paper: 249
Topic: 5
Abstract:
HPGR technology is considered as a prerequisite step for cement, diamond industry and is now making inroads in copper, gold and iron ores also. The use of HPGR depends mainly upon the cost considerations, downstream benefits and safe practice. However, the HPGR performance is predominantly dependent on its precise working practice which is indeed quite complex. This study reveals the performance of lab-scale HPGR and its comparison to industrial scale. The comminution principle for HPGRs is all about stressing a bed of particles so that each particle breaks its neighboring ones. HPGR modeling is more empirical rather than fundamental primarily due to a scarcity of lab-scale units. The slow adoption of HPGR in the mineral industry is due to uncertainties regarding the reliability of modeling-scale-up from a laboratory to commercial installations. In the present study, numerous experiments on different ores were conducted in a lab-scale HPGR and piston and die set up. The data reveals the effect of operating conditions on specific throughput, specific energy, and product size distribution. The data shows that rolls speed had a considerable effect on the fines generation, reduction ratio, and power draw since it has the direct effect on the throughput. It is observed that self-similar spectra of product size distributions of HPGR are independent of the operating conditions. The collected data shows that scale-up factors obtained in lab-scale HPGR and the industrial machine confirmed the applicability of lab-scale machines for tradeoff studies.