Detailed Modeling of an HPGR/HRC for Prediction of Plant Scale Unit Performance

- Organization:
- Canadian Institute of Mining, Metallurgy and Petroleum
- Pages:
- 21
- File Size:
- 1049 KB
- Publication Date:
- Jan 1, 2012
Abstract
Professor Klaus Schönert and his students used fundamental physics to develop many of the principles required for the design and scale-up of "Gutt Bett Zerkleinern" devices such as the high pressure grinding roll (HPGR) or the high pressure roll crusher (HPRC). As the equipment evolved so have the tools used for its selection and analysis. In the current paper discrete element modeling (DEM), Metso's proprietary Fast Breakage simulations, and Schönert's packed bed piston test are combined with energy based population balance models (PBM) to yield an alternative to ore characterization and equipment selection by pilot plant testing. The resulting methodology is used to take the next step in understanding these devices with a view toward predicting plant performance. This paper describes a journey beginning with precise modeling of a small HPGR including stud geometry and system hydraulics. A key to predicting performance is the accurate modeling of individual particles, their motion in the machine, the probability of breakage and redistribution of fragments, and the inter-particle breakage events that occur between the rolls at different pressures, speeds and moisture levels. Advanced DEM simulations and particle breakage characterization methods provide the necessary technology. The resulting combined models were validated using a small diameter laboratory scale unit. The validated physics based model was used then used to predict the performance of plant scale units using a specific energy based scale-up method. Scale-up results are analyzed in terms of power draw, throughput, and discharge product size distribution.
Citation
APA:
(2012) Detailed Modeling of an HPGR/HRC for Prediction of Plant Scale Unit PerformanceMLA: Detailed Modeling of an HPGR/HRC for Prediction of Plant Scale Unit Performance. Canadian Institute of Mining, Metallurgy and Petroleum, 2012.