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Performance prediction for the Carajás grinding circuit.
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| Author(s): |
Bianca Foggiatto
Total Authors: 1
|
| Document type: | Master's Dissertation |
| Press: | São Paulo. |
| Institution: | Universidade de São Paulo (USP). Escola Politécnica (EP/BC) |
| Defense date: | 2009-04-01 |
| Examining board members: |
Homero Delboni Júnior;
Arthur Pinto Chaves;
Roberto Galéry
|
| Advisor: | Homero Delboni Júnior |
| Abstract | |
Originally designed for sinter feed grinding, the Carajas grinding circuit includes two ball mills in parallel lines in a closed configuration with cyclones. The ground product is further deslimed in hydrocyclone for achieving the final specifications regarding size distribution and surface area. In this process, there is a significant amount of high grade material, not recovered due to overgrind. Ore characterization was here selected for predicting the grinding circuit performance, which in turn was the basis for optimization. The aim of this work is the characterization of the main Carajas ore types as well as the development of a method that includes these characteristics for predicting the grinding circuit performance. Laboratory grinding tests and samplings in the industrial circuit were carried out to predict the grinding circuit performance. The grinding test results were used to set operational conditions in which the laboratory better represented the industrial circuit. Results from industrial sampling and characterization were the basis for fitting the mathematical models. The fitted model was an excellent resource for the prediction of the grinding circuit performance as well as for the grinding test. To assess the grinding performance, products size distribution and surface area were evaluated. Moreover, simulations of the grinding circuit indicated the potential of some ore types. The derived methods were validated as tools for predicting the grinding circuit performance and for operational optimization. (AU) | |
| FAPESP's process: | 06/01736-7 - Simulation method of milling adapted for Brazilian ores |
| Grantee: | Bianca Foggiatto |
| Support Opportunities: | Scholarships in Brazil - Master |