Blending effect computing method applicable to blending operation of iron ore powder

Abstract

The invention belongs to the technical field of blast furnace ironmaking, and discloses a blending effect computing method applicable to the blending operation of iron ore powder. The blending effect computing method comprises the following steps: 1, finding iron ore content P(A) in blended material by mathematically modeling the blending operation process of the iron ore powder; 2, determining that probability of iron ore discrete type random variable X valuing around E(X) is more than or equal to Po; 3, finding the percent of pass P of continuous type random variable normal distribution of the testing ingredient in the blended material; 4, obtaining a blending efficiency computational formula applied to managing the blending operation by setting [eta] to be equal to P/Po, wherein, when [eta] is equal to 1, the blending effect is the best, when [eta] is more than 1, the more the [eta], the better the blending effect is, and when [eta] is less than 1, the less the [eta], the poor the blending effect is. According to the blending effect computing method, influence factors to the production of blending stock piles in a stock ground are comprehensively taken into consideration, thus being more accurately accordant with actual situation of the blending effect of the modern stock ground blending operation.

Description

technical field [0001] The invention belongs to the technical field of blast furnace ironmaking, in particular to a method for calculating the mixing effect suitable for iron ore powder mixing operation production. Background technique [0002] In the field of blast furnace ironmaking technology, there is currently no calculation method for the mixing efficiency of iron ore powder specially applied to the production of mixing operations. In the prior art, the calculation method used in the design of the mixing stockyard to estimate the design effect of the stockyard is used. , the core of this calculation method is the traditional standard deviation method, which consists of the following calculation steps: [0003] 1) Calculate the total standard deviation of various raw materials before the iron ore powder mixing operation: [0004] σE = 1 N Σ i = ...

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Problems solved by technology

[0022] The biggest problem with the traditional standard deviation method is that its calculation results are generally far from the facts in practical applications. In on-site production, it is found that there are many factors that affect the mixing efficiency of iron ore powder, for example: 1) the number of layers The problem: under certain conditions and within a certain range, the more layers of material, the better, but after a certain level, the effect tends to zero, and may even cause negative effects; 2) The type of raw material, the absolute value of the raw material composition and the deviation value; 3) Stacking equipment, stacking method, stockpile specifications; 4) Human factors such as operation and sampling

[0023] Therefore, the facts reflected in the on-site production show that the mixing effect of iron ore powder is related to numerous operating parameters in the production of the mixed material, while the calculation method of the prior art is only expressed as a function of the number of layers of the material, which obviously does not meet the requirements of the mixed material. Therefore, it is necessary to propose a calculation method for the mixing effect of the mixing operation process that is suitable for the entire mixing operation production process.

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