Prediction method for yield and recovery rate of pyrrhotite and application thereof

A technology of pyrrhotite and prediction methods, which is applied in the direction of prediction, data processing applications, instruments, etc., can solve the problems of no process parameters, process condition parameters are not given, and influencing factors are not considered, so as to reduce the prediction error , improve accuracy, and efficiently separate the effect

Pending Publication Date: 2022-07-05
BEIJING MINING & METALLURGICAL TECH GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] (1) The existing disclosed technical methods are basically technological process methods, but for how to evaluate (or predict) the index according to the actual situation of the sample, what range should be considered reasonable, and the recovery rate has reached (or is close to) the maximum The relevant research and methods are still blank
[0005] (2) Not taking into account that there

Method used

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  • Prediction method for yield and recovery rate of pyrrhotite and application thereof
  • Prediction method for yield and recovery rate of pyrrhotite and application thereof
  • Prediction method for yield and recovery rate of pyrrhotite and application thereof

Examples

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Embodiment 1

[0082] This embodiment provides a method for predicting the yield and recovery rate of pyrrhotite in a pyrite concentrate, wherein the main minerals in the pyrite concentrate are pyrrhotite and chalcopyrite, and also contain a small amount of pyrrhotite. Zinc ore and galena, so it is necessary to separate the pyrrhotite in it to achieve the purpose of desulfurization. The prediction method includes the following steps:

[0083] (1) Judging the crystal structure type of pyrrhotite in the pyrite concentrate: X-ray diffraction analysis is performed on the pyrite concentrate sample, and the X-ray diffraction pattern is obtained, such as figure 1 shown. from figure 1 It can be seen that the characteristic peak at about 2θ=44° is a single peak and has small bifurcations, that is, there are two types of monoclinic pyrrhotite and hexagonal pyrrhotite in the sulfur concentrate sample.

[0084] Then, calculate the mass percentage content M of monoclinic pyrrhotite in the ore to be pr...

Embodiment 2

[0112] The present embodiment provides a method for sorting pyrrhotite, comprising the following steps:

[0113] (1) sulphur concentrate sample (this sample is the same as the sample adopted in Example 1) processing:

[0114] The samples were subjected to grinding treatment based on the grinding fineness established by the actual ore feeding. When the grinding fineness is less than 0.074mm accounting for 80%, the dissociation degree of chalcopyrite monomer in the sulphur concentrate sample is 92%, the monomer dissociation degree of pyrrhotite is 95%, valuable minerals and magnetic The pyrite has basically been completely dissociated.

[0115] (2) X-ray diffraction analysis of sulphur concentrate samples:

[0116] According to the X-ray diffraction pattern obtained in Example 1, it can be known that the pyrite concentrate sample contains both monoclinic pyrrhotite and hexagonal pyrrhotite.

[0117] (3) Perform magnetic separation according to the crystal structure type: it c...

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Abstract

The invention relates to the technical field of mineral processing, in particular to a prediction method for the yield and recovery rate of pyrrhotite and application of the prediction method. The prediction method comprises the following steps: judging the crystal structure type of pyrrhotite in to-be-treated ore, and calculating the content Md of monoclinic pyrrhotite and/or the content M1 of hexagonal pyrrhotite in the to-be-predicted ore; counting the number of monoclinic pyrrhotite and/or hexagonal pyrrhotite particles in the to-be-predicted ore in different particle size ranges, counting the maximum particle size value and the minimum particle size value in each particle size range, and then calculating a variable D according to the counting result; the content Kd of monoclinic pyrrhotite with the particle size smaller than 0.02 mm and/or the content K1 of hexagonal pyrrhotite with the particle size smaller than 0.02 mm in the to-be-predicted ore are/is calculated; and respectively calculating the maximum yield and the maximum recovery rate of the pyrrhotite. The error of the theoretical maximum yield and the theoretical maximum recovery rate calculated by the prediction method is small.

Description

technical field [0001] The invention relates to the technical field of mineral processing, in particular, to a method for predicting the yield and recovery rate of pyrrhotite and its application, and more particularly, to a method for predicting the yield and recovery rate of pyrrhotite, a magnetic Pyrite beneficiation method and beneficiation method. Background technique [0002] Pyrrhotite is a sulfide mineral widely distributed in various non-ferrous metal deposits. It can be used to extract sulfur and produce sulfuric acid; it can also be used to purify wastewater containing heavy metals. Therefore, the research on the separation method of pyrrhotite has always been one of the hot research issues in the field of mineral processing. [0003] In this regard, the prior art provides methods for pyrrhotite separation including magnetic separation, flotation and the like. However, these methods generally suffer from one or more of the following problems: [0004] (1) The ex...

Claims

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Application Information

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IPC IPC(8): G16C20/20G16C20/70G06Q10/04G06Q10/00G06Q50/02
CPCG16C20/20G16C20/70G06Q10/04G06Q10/30G06Q50/02
Inventor 叶小璐肖仪武武若晨刘娟赵明
Owner BEIJING MINING & METALLURGICAL TECH GRP CO LTD
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