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Discovery of an optimum selective mining unit for a high quality selective deposit.

机译:发现了用于高质量选矿的最佳选矿单元。

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摘要

Quality of the product is crucial for any business. Quality whether it is providing services or goods, describe characteristics that customer is willing exchange his money or services for. It is the ability to provide quality services and products that keep the company afloat and spell out difference between profit and bankruptcy. In mining quality is usually quantified by specific characteristics of excavated product and governed by customer quality specifications.; In mining of selective orebodies the quality of the excavated product is directly related to the size of the selective mining unit. Selection of the proper size contributes not only in creation of proper quality of the product, by limiting of dilution of the product, but also allow for better utilization of the orebody through selective excavation. This research will deal with creation of methodology that will aid in selection of Selective Mining Unit through firstly creation of the model of the orebody of interest and subsequent optimization of the Selective Mining Unit size to improve recovery and eliminate dilution.; The research is done using an example of a hard rock deposit; however the results can be applied to any selective orebody. The result of the research: a selectivity model is a representation of the optimum Selective Mining Units optimized to maximize orebody recovery and minimum dilution for particular areas of deposit of interest.
机译:产品的质量对任何企业都至关重要。无论是提供服务还是商品,质量都描述了客户愿意为之交换金钱或服务的特征。提供优质服务和产品的能力使公司得以持续发展,并阐明了利润与破产之间的区别。在采矿中,质量通常由挖掘产品的特定特征来量化,并由客户质量规范来控制。在选择性矿体的开采中,挖掘产品的质量与选择性采矿单元的大小直接相关。适当尺寸的选择不仅通过限制产品的稀释,不仅有助于创造适当的产品质量,而且还可以通过选择性挖掘更好地利用矿体。这项研究将致力于通过首先建立目标矿体模型和随后优化选择性采矿单元尺寸以提高采收率并消除稀释的方法的创建,从而有助于选择选择性采矿单元的选择。这项研究以硬岩矿床为例。但是,该结果可应用于任何选择性矿体。研究的结果:选择性模型代表了最佳选择性采矿单元的表示形式,该单元经过优化,可以最大程度地提高矿体回收率,并减少特定目标矿床的稀释率。

著录项

  • 作者

    Szmigiel, Piotr.;

  • 作者单位

    University of Missouri - Rolla.;

  • 授予单位 University of Missouri - Rolla.;
  • 学科 Engineering Mining.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 130 p.
  • 总页数 130
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 矿业工程;
  • 关键词

  • 入库时间 2022-08-17 11:41:46

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