Optimization for Production and Processing of Low Grade Iron Ores
Keywords:low grade iron ore, processibility indexes, transportation work, concentrate control, big M algorithm, ore blending model
The purpose of this paper is to maximize the utilization of low grade iron ores. The production technology of iron ores in Anqian Mining Company was introduced and the ore mass distribution in different production location was analyzed firstly. The processibility indexes for different grade ore, such as grinding time, concentrate grade and the concentrate yield were obtained in the laboratory magnetic tube tests. On the basis of digital ore deposit model which integrates ore natural attributes with processing attributes, the ore blending optimization model containing two stages were established using big M simplex algorithm. The first stage model is to minimize the ore transportation cost under the restriction of output ore grade and pit production conditions. At the second stage, a system optimization model aims at the furthest use of resources. This model meets not only the production constraints of mining and processing field, but also ore beneficiability and the system output requirements of the concentrate ore grade.
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