Prediction of particle size distribution in milling process using discrete element method

Sho Fukui, Yuki Tsunazawa, Chiharu Tokoro

    研究成果: Conference contribution

    抜粋

    A milling process is one of the important unit processes in mineral processing. In the milling process, the control of particle size distribution is necessary for the later physical separation process. Since the milling process is strongly affected by the equipment designs, operation conditions and raw materials, the control for particle size distribution of milling products is mainly based on empirical rules. Recently, the discrete element method (DEM) has been widely used as an effective tool to investigate the behavior of grinding media. Although the behavior of grinding media can be accurately simulated, it is not well-established the way to predict particle size distribution after milling by the DEM simulation. The objective of this study was to develop a new method to predict particle size distribution in ball milling using the DEM simulation. To predict particle size reduction, a correlation between experiments and the simulation was investigated in various operation conditions, that is, wide range of the rotation speed and the filling ratio of grinding media. In experiments, after lime stone was ground, the average and variance of particle size distribution were evaluated using some kinds of distribution equations. In the DEM simulation, direct simulation of particle disintegration in milling process is generally very difficult because of huge computational load. Therefore, collision energy between grinding media balls or grinding media ball and wall was used as a factor of particle disintegration. As a result, a good correlation between experiments and simulation was obtained. In addition, the particle size distribution in ball milling could be predicted using this correlation. Therefore, these results indicated that the use of the correlation between experiments and the DEM simulation was an effective approach of predicting the particle size distribution in milling process.

    元の言語English
    ホスト出版物のタイトルIMPC 2016 - 28th International Mineral Processing Congress
    出版者Canadian Institute of Mining, Metallurgy and Petroleum
    2016-September
    ISBN(電子版)9781926872292
    出版物ステータスPublished - 2016 1 1
    イベント28th International Mineral Processing Congress, IMPC 2016 - Quebec City, Canada
    継続期間: 2016 9 112016 9 15

    Other

    Other28th International Mineral Processing Congress, IMPC 2016
    Canada
    Quebec City
    期間16/9/1116/9/15

    ASJC Scopus subject areas

    • Geochemistry and Petrology
    • Geotechnical Engineering and Engineering Geology
    • Mechanical Engineering
    • Earth-Surface Processes

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  • これを引用

    Fukui, S., Tsunazawa, Y., & Tokoro, C. (2016). Prediction of particle size distribution in milling process using discrete element method. : IMPC 2016 - 28th International Mineral Processing Congress (巻 2016-September). Canadian Institute of Mining, Metallurgy and Petroleum.