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Use of Parallel Inclined Channels to Enhance Foam Drainage in Ion Flotation

Use of Parallel Inclined Channels to Enhance Foam Drainage in Ion Flotation
利用平行倾斜通道增强离子浮选泡沫滤水
批准号:
DP0879594
负责人:
Prof Kevin Galvin
金额:
$18.49万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2008
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2008-01-01 至 2011-01-31

项目摘要

项目成果

Prof Kevin Galvin的其他基金

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中文摘要
翻译
本研究是关于提高浮选过程中泡沫的排出率。这一发现将在离子浮选领域产生直接效益,并将与每年价值数百亿美元的高价值矿物的浮选高度相关。回流分类器,一种利用抵制效应实现容器有效面积显著增加的装置,将被使用。该装置已在选矿重力浓缩领域获得三项国家级奖项。考虑到该领域对澳大利亚的重要性,该研究非常适合培养新的研究人员,尤其是博士水平的研究人员。
英文摘要
This study is concerned with increasing the rates of foam drainage in flotation processes. The findings will have direct benefit in the field of ion flotation, and will be highly relevant to the flotation of high value minerals worth tens of billions of dollars annually. The Reflux Classifier, a device that employs the Boycott Effect to achieve a significant increase in the effective area of the vessel, will be used. This device has already attracted three national awards in the area of gravity concentration in mineral processing. The study is ideal for training new researchers, especially at the PhD level, given the importance of the field to Australia.
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会议论文
Enhanced Fractionation of Mineral Particles According to Density
  • 批准号:
    DP200102122
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $36.47万
  • 财政年份:
    2021
  • 负责人:
    Prof Kevin Galvin
  • 依托单位:
ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals
  • 批准号:
    CE200100009
  • 项目类别:
    ARC Centres of Excellence
  • 资助金额:
    $2450.12万
  • 财政年份:
    2020
  • 负责人:
    Prof Kevin Galvin
  • 依托单位:
Hydrophobic particle recovery using permeable hydrophobic media
  • 批准号:
    DP180101617
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $15.86万
  • 财政年份:
    2018
  • 负责人:
    Prof Kevin Galvin
  • 依托单位:
Three-dimensional flotation of fine particles
  • 批准号:
    LP160100847
  • 项目类别:
    Linkage Projects
  • 资助金额:
    $15.03万
  • 财政年份:
    2016
  • 负责人:
    Prof Kevin Galvin
  • 依托单位:
国内基金
海外基金
强流低能加速器束流损失机理的Parallel PIC/MCC算法与实现