A methodology to predict the HPGR operational gap by using piston press tests
| Autor: | Bern Klein, G. Pamparana |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Mechanical Engineering Size reduction Mechanical engineering 02 engineering and technology General Chemistry 010501 environmental sciences Geotechnical Engineering and Engineering Geology 01 natural sciences Copper ore Energy requirement Sizing 020501 mining & metallurgy Grinding law.invention Piston 0205 materials engineering Control and Systems Engineering law Throughput (business) 0105 earth and related environmental sciences |
| Zdroj: | Minerals Engineering. 166:106875 |
| ISSN: | 0892-6875 |
| Popis: | High-Pressure Grinding Rolls (HPGR) sizing requires conducting several pilot-scale tests with a large quantity of material and is costly for new projects. The University of British Columbia has developed a piston press test and models to predict the energy requirements and the size reduction capabilities for an HPGR. However, there is no small-scale test to predict either the throughput or the operational gap of the HPGR. For a given roll size, the throughput is a function of the gap between the rollers and the roll speed. This paper aims to present the concept for a novel gap-calibrated methodology that was developed to predict the operating gap by calibrating the piston press compressed bed thickness with the HPGR operational gap. On average, less than ±0.4% prediction errors have been obtained for the HPGR operating gap when validating using iron and copper ore. It is possible to predict the HPGR throughput with further calculations using the predicted gap. The proposed test and methodology are a first step towards calculating the HPGR throughput using small ore quantities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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