Assessing the dependency of selection function parameters with batch mill design
| Autor: | Sajjad Chehreghani, Hojjat Hosseinzadeh Gharehgheshlagh, François K. Mulenga |
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| Rok vydání: | 2019 |
| Předmět: |
business.industry
High Energy Physics::Lattice General Chemical Engineering 02 engineering and technology Function (mathematics) 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Grinding General Relativity and Quantum Cosmology High Energy Physics::Theory Breakage Mechanics of Materials Batch processing Mill Parameter 0210 nano-technology Process engineering business Ball mill Selection (genetic algorithm) Mathematics |
| Zdroj: | Advanced Powder Technology. 30:2042-2051 |
| ISSN: | 0921-8831 |
| DOI: | 10.1016/j.apt.2019.06.017 |
| Popis: | The scale-up of laboratory grinding data to industrial milling operations generally relies on tests carried out in cylindrical ball mills run in batch mode. This approach imposes no restriction on the diameter and length of the laboratory mill. In this work, the breakage characteristics of a copper ore were measured using two batch mills of different designs. For each mill, a number of feed samples of similar size distributions were prepared for testing under various conditions. Product size distributions were then measured after predefined milling time intervals. Finally, the selection function and breakage function parameters of the copper ore were back-calculated from the milling data. Results showed that the breakage function parameters from the two mills are statistically similar indicative of a normalisable copper ore. It was also found that the scale-up equations for batch grinding data described well the effect of mill diameter on the selection function parameters. |
| Databáze: | OpenAIRE |
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