首页> 外文学位 >Assessment of hyperspectral features and damage modeling in bitumen flotation process.
【24h】

Assessment of hyperspectral features and damage modeling in bitumen flotation process.

机译:沥青浮选过程中的高光谱特征评估和损伤建模。

获取原文
获取原文并翻译 | 示例

摘要

Flotation process is mineral processing technique used for separating valuable minerals from the gangue. The research presented in this thesis deals with assessing features that can help in measuring the performance (observing) bitumen flotation process and modeling damage in flotation units.;A timely measure of oilsands and process stream contents can be used to observe and control the separation performance. To this end, flotation experiments were conducted and hyperspectral images of the ore and the process stream were taken to determine whether spectral information can predict the bitumen and fines content of ore samples and establish relationship a between these variables and the froth colour. Several features that appear to correspond to clay and quartz were present.;Flotation cells are prone to wear damage by particles entrained in the slurry. A wear damage model was developed to predict the damage accumulated over a period of time. Particle image velocimetry experiments were conducted on physical flotation model to understand the flow behavior of the solid particles near the wall of the flotation unit. A preliminary wear test was conducted for qualitative assessment of wear. Recommendations were made for validating the damage model.
机译:浮选工艺是用于从脉石中分离出有价值的矿物的矿物加工技术。本文提出的研究旨在评估有助于评估沥青浮选过程的性能(观察)和对浮选单元的破坏进行建模的特征。;可以及时测量油砂和过程物流的含量,以观察和控制分离性能。为此,进行了浮选实验并拍摄了矿石和工艺流的高光谱图像,以确定光谱信息是否可以预测矿石样品的沥青和细粉含量,并确定这些变量与泡沫颜色之间的关系。存在一些似乎与粘土和石英相对应的特征。浮选池容易受到夹带在泥浆中的颗粒的磨损破坏。开发了磨损损坏模型以预测一段时间内累积的损坏。在物理浮选模型上进行了颗粒图像测速实验,以了解固体颗粒在浮选单元壁附近的流动行为。进行了初步磨损测试,以对磨损进行定性评估。提出了验证损坏模型的建议。

著录项

  • 作者

    Bhushan, Vivek.;

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Engineering Mechanical.
  • 学位 M.Eng.
  • 年度 2011
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号