Validation of High Fidelity Simulation Wear Predictions in Various Types of Mineral Processing Equipment

Canadian Institute of Mining, Metallurgy and Petroleum
John A. Herbst Xiangjun Qiu
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
14
File Size:
1638 KB
Publication Date:
Jan 1, 2007

Abstract

"Prediction of wear on a microscale level in mineral processing equipment turns out to be a challenging undertaking. This is particularly true for cases in which the objective is to use such predictions for wear parts design. The key to obtaining such predictions has turned out to be the use of physics based models along with phenomenological constitutive equations. In this paper, two components of the HFS tool set, one for particles (DEM) and one for slurry (MPF), are used for modeling. These tools are applied to the simulation of wear of SAG/AG shell lifters/plates and wear in slurry pumps. In each case wear predictions are validated with plant measurements.INTRODUCTIONHigh Fidelity Simulation (HFS) has emerged as an important tool set for mineral processing plant equipment design and optimization (Herbst and Potapov, 2003; Herbst and Nordell, 2002; Herbst and Lichter, 2006). This tool set consists of Discrete Element Modeling (DEM) of particle motion, Multi-Phase Flow (MPF) for liquid motion, discrete grain breakage (DGB) for particle fragmentation and discrete grain liberation (DGL) for mineral liberation (Campbell, Potapov and Tsuji, 1997; Ferzinger and Peric, 1997; Potapov and Campbell, 1996; Herbst and Potapov, 2005).Three sample snapshots of basic HFS illustrating the use of each of the various types of mineral processing equipment are shown below.Figure 1 shows a snapshot of a DEM simulation of ball charge motion in a commercial scale Vertimill. DEM simulation involves simultaneous solution of Newton’s Laws of Motion for 400,000 balls."
Citation

APA: John A. Herbst Xiangjun Qiu  (2007)  Validation of High Fidelity Simulation Wear Predictions in Various Types of Mineral Processing Equipment

MLA: John A. Herbst Xiangjun Qiu Validation of High Fidelity Simulation Wear Predictions in Various Types of Mineral Processing Equipment. Canadian Institute of Mining, Metallurgy and Petroleum, 2007.

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