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

Sho Fukui, Yuki Tsunazawa, Chiharu Tokoro

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationIMPC 2016 - 28th International Mineral Processing Congress
    PublisherCanadian Institute of Mining, Metallurgy and Petroleum
    Volume2016-September
    ISBN (Electronic)9781926872292
    Publication statusPublished - 2016 Jan 1
    Event28th International Mineral Processing Congress, IMPC 2016 - Quebec City, Canada
    Duration: 2016 Sep 112016 Sep 15

    Other

    Other28th International Mineral Processing Congress, IMPC 2016
    CountryCanada
    CityQuebec City
    Period16/9/1116/9/15

    Fingerprint

    discrete element method
    Finite difference method
    Particle size analysis
    particle size
    grinding
    prediction
    simulation
    Disintegration
    Ball milling
    Experiments
    Ore treatment
    experiment
    Lime
    mineral processing
    Chemical reactions
    Raw materials
    Particle size
    lime
    collision

    Keywords

    • Ball mill
    • Discrete element simulation
    • Grinding
    • Milling process
    • Particle size distribution

    ASJC Scopus subject areas

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

    Cite this

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

    Prediction of particle size distribution in milling process using discrete element method. / Fukui, Sho; Tsunazawa, Yuki; Tokoro, Chiharu.

    IMPC 2016 - 28th International Mineral Processing Congress. Vol. 2016-September Canadian Institute of Mining, Metallurgy and Petroleum, 2016.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Fukui, S, Tsunazawa, Y & Tokoro, C 2016, Prediction of particle size distribution in milling process using discrete element method. in IMPC 2016 - 28th International Mineral Processing Congress. vol. 2016-September, Canadian Institute of Mining, Metallurgy and Petroleum, 28th International Mineral Processing Congress, IMPC 2016, Quebec City, Canada, 16/9/11.
    Fukui S, Tsunazawa Y, Tokoro C. Prediction of particle size distribution in milling process using discrete element method. In IMPC 2016 - 28th International Mineral Processing Congress. Vol. 2016-September. Canadian Institute of Mining, Metallurgy and Petroleum. 2016
    Fukui, Sho ; Tsunazawa, Yuki ; Tokoro, Chiharu. / Prediction of particle size distribution in milling process using discrete element method. IMPC 2016 - 28th International Mineral Processing Congress. Vol. 2016-September Canadian Institute of Mining, Metallurgy and Petroleum, 2016.
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