The Evolution of Grinding Mill Power Models

Raj Rajamani, Pramod Kumar, Nicolin Govender

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Mill power models have been used in a variety of ways in industrial practice since power directly equates to throughput and fineness of ground product. We first start with Hogg-Fuerstenau Power Model and show how this model successfully predicted the power draw of many grinding mills in several mining operations. Then, we show how this model was on the verge of being able to predict the influence of lifter design on power draw. Next, we describe the discrete element model and how it overcame the issues faced by the previous power model. Using a DEM software known as Millsoft, we show the influence of lifter design geometry on power draw and analyze the power draw of rubber lifters versus the steel lifters via several case studies. As years passed, the two-dimensional discrete element model imbedded in Millsoft is superseded by three-dimensional discrete element method. Due to the gigantic computational power of graphic processing units, new computational codes that can do the tumbling motion along the entire length of the mill has come about. Here, we show the predictive capability of Blaze-DEM for ball and SAG mills.

Original languageEnglish
Pages (from-to)151-157
Number of pages7
JournalMining, Metallurgy and Exploration
Volume36
Issue number1
DOIs
Publication statusPublished - 1 Feb 2019
Externally publishedYes

Keywords

  • Discrete element method
  • Grinding
  • Mill
  • Power

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Chemistry
  • Geotechnical Engineering and Engineering Geology
  • Mechanical Engineering
  • Metals and Alloys
  • Materials Chemistry

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