# A Method of Ore Blending Based on the Quality of Benefication and Its Application in a Concentrator
## 1 Introduction  
Ore blending generally refers to the blending of existing ore according to the production index before ore dressing. The purpose is to make the mixed ore properties more convenient for production, thus improving production efficiency and reducing production cost [1]. Ore blending can also ensure that the feed is uniform during ore processing, which guarantees normal production in the subsequent links. This is because the parameters such as the grinding time and the beneficiation reagent are all designed. In the process of ore blending, the model should be established according to the actual situation. Due to the diverse nature of raw ore used in different concentrators, the same model cannot be applied in other places. [PERSON] et al. [2] proved that good mixed ore properties have a significant impact on flotation production. Some studies have applied the SIP (Stochastic Integer Programming) model to the ore dressing [3, 4, 5, 6, 7, 8]. In order to make rational use of resources and increase the life of mines, operators often need to balance the use of high-grade ore and low-grade ore as much as possible, avoiding the occurrence of a decline in the mine's overall quality due to excessive mining of high-grade ore. It requires the operator to make a reasonable ore allocation based on each mining area's material composition report before deciding on the mining plan. Some studies use integer dynamic programming to calculate ore blending schemes [9, 10]. Some scholars use metaheuristics to solve the problem of ore blending [11, 12, 13, 14, 15, 16]. Some scholars research from the perspective of path planning. Based on the MCNFP (Minimum Cost Network Flow Problem) model, this paper designed a set of scheduling methods that can cover all areas [17]. [PERSON], [PERSON] et al. [18] proposed that geometallurgy is an essential addition to any evaluation project or mining operation. This method can achieve net present value optimization and effective ore body management while minimizing technical and operational risks. [PERSON], [PERSON], etc. [19], applied the stochastic mine planning algorithm to different geometallurgical units and realized the quantification of the net present value (NPV) of the optional operation modes of theconcentrator under the conditions of geological uncertainty, and then evaluated the operation mode of the concentrator. These methods have solved some practical problems in the industry, but they have some limitations. They assume that the original ore's nature is constant at each block or that the change is weak. They believe that each block is processed independently of others, which is often an unrealistic assumption for mining complexes that require blending and homogenization before processing. Moreover, for the concentrator, the most critical indicator is the total concentrate recovery rate. The ore blending is also serving this indicator. Therefore, it is more in line with the manufacturers' interests to combine the requirements of ore blending and dressing to produce a blending scheme. One blending is an essential step in the daily production of the concentrator. A good ore blending scheme can improve grinding production workload, reasonably allocate the amount of ore into flotation, gravity separation, etc., and improve the concentrator's production efficiency and economic efficiency [20]. Therefore, in the process of ore blending, the material balance and various indicators of the ore must be considered, and attention must be paid to the impact of the blending product on the quality of the comprehensive concentrate. If the low-quality content in the mixed ore is too high, the hardness becomes higher, which will increase the grinding time and consume more grinding balls. When the content of magnetic substance is insufficient, the effect of magnetic separation will be poor, which will affect the quality of magnetic separation concentrate. When the high-quality content is too high, it will consume more imported raw ore and increase the production cost.