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Development of a comprehensive HPGR model using large experimental data sets

University of British Columbia

Mining activities, particularly the crushing and grinding process, are energy intensive and energy inefficient. To meet the increasing demand in raw materials, mining companies need to focus more on energy efficiency that can enhance the operating profitability and meet the society demands for reduced carbon footprint. The High Pressure Grinding Roll (HPGR) is an important energy-efficient comminution technology with potential to significantly reduce energy consumption in the mining industry. However, a wider adoption of the HPGR is considered slow. The goal of this research is to increase the accessibility of HPGR technology for all mining companies and their projects. A key outcome is the development of a comprehensive simulator incorporating empirical and semi-empirical models for HPGR equipment sizing, circuit design, and process simulation. Empirical models for predicting key HPGR sizing parameters were developed based on large pilot HPGR tests conducted at the University of British Columbia (UBC). The predictions are primarily driven by feed material characteristics and HPGR operating conditions. This approach enables the sizing and selection of HPGR for cases with no specific HPGR characterization test work. Typically, mining projects would undergo different study phases for project evaluation. A framework incorporating empirical models and small scale Piston-die Press Testing (PPT) data was proposed, which aimed at providing a low-cost option for HPGR evaluation while meeting the specific requirements per each study phase. Case studies were presented to demonstrate the use of empirical models and some specific HPGR characterization test work under the proposed framework to support different stage of studies. Advances have also been made in addition to the semi-empirical model developed by Davaanyam (2015) that enhanced the capacity of HPGR modeling and simulation. At last, a comprehensive HPGR simulator was developed for HPGR evaluation integrating HPGR empirical models, semi-empirical models and phenomenological models. Overall, the development of a comprehensive and reliable HPGR model and simulator provides an easier access to mining companies who may benefit from the HPGR technology. Ultimately, it is hopeful that increased number of HPGR installations can be promoted and greater energy savings can be realized.

Text

2021-04-14

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/77760

Mining Engineering

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/