Design Optimization Methodologies for Multi-stage Samplers in Mining Applications

采矿应用中多级采样器的设计优化方法

• 批准号: 485184-2015
• 负责人: Amon, Cristina
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=584780
• 关键词: Design; Optimization; Methodologies; Multi; stage

In the mining industry, reliable accounting of mineral production is essential to sound corporate governance, particularly as the figures generated by metal accounting systems feed directly into the financial accounts of mining companies. In many instances, metal accounting requires accurate measurement of metal content in slurry flows, which are fluid mixtures of solid particles in a liquid medium (e.g. water) found in many mineral processing plants as a convenient way of transporting and handling solid particles (e.g. extracted minerals) in bulk. The goal of this research project is to develop methods and algorithms to optimize the design of slurry sampling systems to improve their precision and reduce sampling bias, thus providing more accurate and cost-effective accounting of mineral content in slurry flows. The potential impact of these developments on the mining industry is astounding, as just a fraction of a percent improvement in the accuracy of the sampling system can impact millions of dollars in revenues. Successful completion of the project would also help Canadian firms to develop and/or maintain their leadership in the global market for mining services and equipment.

在采矿业，可靠的矿物生产会计对健全的公司管理是必不可少的，特别是因为金属会计系统产生的数字直接进入矿业公司的财务帐目。在许多情况下，金属核算需要准确测量泥浆流中的金属含量，泥浆流是许多矿物加工厂中液体介质（例如水）中固体颗粒的流体混合物，是散装运输和处理固体颗粒（例如提取的矿物）的方便方法。本研究项目的目标是开发方法和算法来优化矿浆取样系统的设计，以提高其精度和减少取样偏差，从而提供更准确和更具成本效益的矿浆流矿物含量核算。这些发展对采矿业的潜在影响是惊人的，因为采样的准确性仅仅提高了百分之几