Determination method of particle size coefficient

Abstract

The present application provides a method for determining particle size coefficient, which belongs to the field of process mineralogy. The method comprises selecting a block sample for an in-situ leaching test, cutting it to a preset size, and screening it using X-ray fluorescence to ensure that the target element content deviation is less than 5%. The sample is then coarsely ground and solidified to obtain an automatic mineralogical analysis sample. The automatic mineralogical analysis sample is then subjected to automatic mineralogical analysis to measure the target mineral content, target mineral particle size, and target element content, and calculate the target mineral particle size coefficient. The particle size distribution of associated minerals and other minerals at the edge of the target mineral is measured, and the content of minerals larger than the boundary particle size is calculated, thereby calculating the particle size coefficients of other minerals. The ore particle size coefficient is calculated based on the target mineral particle size coefficient and the other mineral particle size coefficients. The present application scientifically predicts the feasibility of in-situ leaching from the perspective of the particle size characteristics of the ore or ore body through quantitative analysis of the classification of the particle sizes of specific target minerals and other minerals.

Description

Technical Field

[0001] The invention relates to the technical field of process mineralogy, and in particular to a method for determining a particle size coefficient. Background Art

[0002] In-situ leaching is a green mining technology that requires no excavation of the ore body. Its core approach involves injecting a leaching agent into the target ore layer through a drill hole, dissolving valuable elements (such as uranium, copper, and rare earth elements) in situ underground. The metal-rich solution is then pumped to the surface for separation and purification. This technology avoids the ore extraction, transportation, crushing, and tailings accumulation steps of traditional mining, significantly reducing environmental impact and production costs while significantly improving resource utilization of low-grade, deep, or difficult-to-mine ores. In-situ leaching is particularly suitable for sandstone-type uranium deposits, secondary copper deposits, and ion-adsorption rare earth deposits. In the future, intelligent monitoring and numerical simulation will enable further precise leaching control, promoting the development of green mining.

[0003] Particle size analysis is crucial in in-situ leaching, directly influencing the kinetics of the leaching reaction. This is reflected in the permeability of the ore reagent and the reaction rate of the target mineral. For example, too fine a particle size can cause reagent clogging, reducing permeability, while too coarse a particle size can reduce the reaction area, affecting leaching efficiency. Particle size analysis is also crucial for optimizing the flow path of the leachate. By measuring and analyzing particle size, it is possible to design an optimized leaching path, avoid "short circuits" and "dead zones," and improve the recovery rate of the target mineral. In practical applications, when uranium is used in situ leaching, since uranium is often found in sandstone, a target particle size of 0.1-2.0 mm is the most effective balance between permeability and leaching efficiency. Similarly, in copper leaching, secondary sulfide ores (such as chalcocite) require a finer particle size to accelerate the reaction, while oxide ores (such as malachite) leach better with coarser particle sizes. These factors place high demands on particle size analysis.

[0004] Currently, there is little research on the particle size characteristics of in-situ leaching. A method for measuring the particle size characteristics of ores is needed to fill this gap and quantitatively determine the expected effect of in-situ leaching technology on specific ores from the perspective of particle size analysis.

[0005] In view of this, it is necessary to design an improved method for measuring the particle size coefficient to solve the above problems. Summary of the Invention

[0006] In view of the technical problems existing in the background technology, this application provides a method for determining the particle size coefficient, which aims to solve the technical problems that the existing measurement methods cannot evaluate the impact of particle size on leaching effect, making it difficult to optimize the leaching process and predict the leaching performance of specific ores.

[0007] The present application provides a method for determining a particle size coefficient, comprising the following steps:

[0008] S1. Select bulk samples for in-situ leaching experiments, cut them into pre-set sizes, and screen them using X-ray fluorescence to ensure that the target element content deviation is less than 5%. After coarse grinding and solidification, the samples are prepared for automated mineralogical analysis.

[0009] S2. Perform automatic mineralogy analysis on the sample to measure the target mineral content A. mi Target mineral particle size D mi , the target element content in the mth target mineral h m , calculate the target mineral particle size coefficient M1;

[0010] Where, M1=1-0.1*∑(B m *MD m );

[0011] B m is the target mineral particle size distribution coefficient;

[0012] B m =A m *h m / ∑(A m *h m );

[0013] D m is the boundary particle size value;

[0014] MD m The content is greater than the dividing particle size;

[0015] MD m =∑D mi / i;

[0016] A m is the average content of target minerals, A m =∑A mi / i;

[0017] m is I, II, III, ..., indicating the target mineral species;

[0018] i is 1, 2, 3, ..., indicating the number of samples;

[0019] S3. Measure the particle size distribution of the associated minerals at the edge of the target mineral and calculate the content of minerals larger than the boundary particle size C1;

[0020] Where C1=∑D i / D 总 ;

[0021] D iIt is the measured value of the edge associated mineral particle size that is larger than the boundary particle size;

[0022] D 总 It is the sum of all the measured values of the particle size of the edge-associated minerals;

[0023] S4. Measure the particle size distribution of other minerals and calculate the content of minerals larger than the cutoff particle size, C2;

[0024] Where, C2=∑(a'*A' / ∑A');

[0025] a' is the percentage of particles larger than the dividing particle size;

[0026] A' is the relative content of other minerals;

[0027] Calculate the particle size coefficient M2 of other minerals;

[0028] Among them, M2=1-C1*C2;

[0029] S5. Calculate the ore particle size coefficient M; where M=M1*M2.

[0030] As a further improvement of the present application, in step S1, the preset size is a sample particle size ≤ 30 mm and a thickness of 0.3~0.8 cm.

[0031] As a further improvement of the present application, the curing treatment includes: placing the roughly ground sample horizontally in a grinding tool, injecting epoxy resin glue to a height of 0.8 to 1.2 cm, and curing by gradient heating, with the porosity of the cured body being less than 0.3%.

[0032] As a further improvement of the present application, the gradient heating method is: first heating to 45-55°C, keeping warm for 40-60 minutes, and then heating to 75-85°C, keeping warm for 20-40 minutes.

[0033] As a further improvement of the present application, in step S2, the coverage area of the automatic mineralogical analysis is more than 80% of the total area of the sample exposure surface, and a fixed step scanning mode is used to perform a serpentine path analysis on the sample surface.

[0034] As a further improvement of the present application, the minimum particle size of the target mineral in a two-dimensional plane is measured, and the boundary particle size is set according to the mineral type for particle size classification.

[0035] As a further improvement of the present application, in step S3, the edge associated mineral is a mineral that is directly connected to the target mineral and does not contain the target element.

[0036] As a further improvement of the present application, the edge associated minerals are divided into inclusion-type edge associated minerals and contiguous-type edge associated minerals.

[0037] As a further improvement of the present application, the minimum outer diameter value of the encapsulated edge associated minerals is directly measured; the maximum particle size of the exposed two-dimensional plane of the contiguous edge associated minerals is measured.

[0038] As a further improvement of the present application, in step S4, the other minerals are minerals with a relative content greater than 10%.

[0039] The beneficial effects of this application are:

[0040] The present application provides a method for determining the particle size coefficient, which is to select block samples for in-situ leaching tests, cut them into preset sizes, and use X-ray fluorescence for screening to ensure that the deviation of the target element content is less than 5%. After the samples are coarsely ground and solidified, automatic mineralogical analysis samples are obtained; automatic mineralogical analysis is performed on the automatic mineralogical analysis samples to measure the target mineral content, target mineral particle size, and target element content, and calculate the target mineral particle size coefficient; the particle size distribution of associated minerals and other minerals at the edge of the target mineral is measured, and the content of minerals larger than the boundary particle size is calculated respectively, and the particle size coefficients of other minerals are calculated; the ore particle size coefficient is calculated based on the target mineral particle size coefficient and the other mineral particle size coefficients. The present application scientifically predicts the feasibility of in-situ leaching from the perspective of the particle size characteristics of the ore or ore body through quantitative analysis of the classification of specific target minerals and other mineral particle sizes. The present application standardizes operations from sample preparation to data analysis to ensure the comparability of results, break through the limitations of qualitative analysis of traditional methods, and provide key parameter support for the design of in-situ leaching processes for low-grade ore bodies.

[0041] The particle size coefficient determination method provided in this application is mainly a particle size coefficient determination technology based on automatic mineralogical analysis, which is used to evaluate the suitability of in situ leaching of ore. The particle size coefficient M (0~1.00) is calculated by quantitatively analyzing the particle size characteristics of the target mineral, associated minerals and other minerals. The closer the value is to 1.00, the more suitable the particle size characteristics of the ore are for in situ leaching, and the higher the expected leaching efficiency.

[0042] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] To more clearly illustrate the technical solution of this application, the following is a brief introduction to the drawings used in this application. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be derived from these drawings without inventive effort.

[0044] Figure 1 This is a flow chart of the method for determining the particle size coefficient in the examples of this application. DETAILED DESCRIPTION

[0045] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0047] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0048] The existing technology lacks a method for measuring the particle size characteristics of in-situ leaching ores, making it impossible to quantitatively evaluate the impact of particle size on leaching results, making it difficult to optimize the leaching process and predict the leaching performance of specific ores.

[0049] In order to solve the technical problem of limitations of traditional analysis methods, the present application provides a method for determining the particle size coefficient, wherein the particle size coefficient is calculated by quantitatively analyzing the particle size characteristics of the target mineral, associated minerals and other minerals, thereby achieving the technical effect of quantitatively judging the expected effect of in-situ leaching technology for a specific ore from the perspective of particle size analysis.

[0050] Please refer to Figure 1 The present invention provides a method for determining the particle size coefficient, comprising the following steps:

[0051] S1. Select bulk samples for in-situ leaching experiments, cut them into pre-set sizes, and screen them using X-ray fluorescence to ensure that the target element content deviation is less than 5%. After coarse grinding and solidification, the samples are prepared for automated mineralogical analysis.

[0052] S2. Perform automatic mineralogy analysis on samples to measure the target mineral content A mi Target mineral particle size D mi , the target element content in the mth target mineral hm , calculate the target mineral particle size coefficient M1;

[0053] Where, M1=1-0.1*∑(B m *MD m );

[0054] B m is the target mineral particle size distribution coefficient;

[0055] B m =A m *h m / ∑(A m *h m );

[0056] D m is the boundary particle size value;

[0057] MD m The content is greater than the dividing particle size;

[0058] MD m =∑D mi / i;

[0059] A m is the average content of target minerals, A m =∑A mi / i;

[0060] m is I, II, III, ..., indicating the target mineral species;

[0061] i is 1, 2, 3, ..., indicating the number of samples, and the total number of samples is ≥10 to increase data reliability;

[0062] S3. Measure the particle size distribution of the associated minerals at the edge of the target mineral and calculate the content of minerals larger than the boundary particle size C1;

[0063] Where C1=∑D i / D 总 ;

[0064] D i It is the measured value of the edge associated mineral particle size that is larger than the boundary particle size;

[0065] D 总 It is the sum of the particle size measurements of all the edge-associated minerals;

[0066] S4. Measure the particle size distribution of other minerals and calculate the content of minerals larger than the cutoff particle size, C2;

[0067] Where, C2=∑(a'*A' / ∑A');

[0068] a' is the percentage of particles larger than the dividing particle size;

[0069] A' is the relative content of other minerals;

[0070] Calculate the particle size coefficient M2 of other minerals;

[0071] Among them, M2=1-C1*C2;

[0072] S5. Calculate the ore particle size coefficient M; where M=M1*M2.

[0073] In the technical solution of the embodiment of the present application, X-ray fluorescence (XRF) screening is used to ensure that the sample is representative, and combined with subsequent automatic mineralogical analysis, the accuracy of the analysis is improved; by combining the particle size characteristics of the target mineral and the particle size distribution of the edge associated minerals and other minerals, the particle size coefficient can more comprehensively reflect the particle size characteristics of the ore.

[0074] Furthermore, in some embodiments, in step S1, the preset size is that the sample particle size is ≤30 mm and the thickness is 0.3-0.8 cm.

[0075] In the technical solution of the embodiment of the present application, representative bulk samples of the in-situ leaching test are selected, and a three-dimensional size-controlled cutting process is adopted to ensure that the sample particle size is ≤30 mm, thereby reducing the impact of possible composition and structural heterogeneity within the bulk sample on subsequent analysis. The length and width dimensions are adapted to the diameter of the sample preparation mold (with a 5% tolerance reserved), and the thickness is precisely controlled in the range of 0.3~0.8 cm to achieve the preservation of the integrity of the mineral phase structure.

[0076] Furthermore, in some embodiments, the curing process includes: placing the roughly ground sample horizontally in a grinding tool, injecting epoxy resin glue to a height of 0.8-1.2 cm, and curing by gradient heating, wherein the porosity of the cured body is less than 0.3%.

[0077] In the technical solution of the present embodiment, the lower surface of the sample is coarsely ground with a 100-240 mesh abrasive until it is flat. The sample is then placed horizontally in a grinding tool with the ground surface facing downward. Epoxy resin glue is then injected using vacuum injection to a vacuum level of -0.1 MPa. This eliminates bubbles and is combined with programmed temperature curing to produce a high-density solid. The epoxy resin glue is injected until the total height of the sample and the glue is 0.8-1.2 cm, ensuring that the dimensions of the final solid meet the requirements of subsequent analytical equipment.

[0078] Furthermore, in some embodiments, the gradient heating method is: first heating to 45-55° C., keeping warm for 40-60 minutes, and then heating to 75-85° C., keeping warm for 20-40 minutes.

[0079] In the technical solution of the embodiment of the present application, the internal stress generated during the curing process is reduced by gradient temperature increase, the sample is prevented from cracking due to uneven thermal expansion and contraction, the epoxy resin glue is promoted to cure more thoroughly and evenly, the overall performance of the cured body is improved, and at the same time it helps to discharge the small amount of gas that may be generated during the curing process and provide density.

[0080] Furthermore, in some embodiments, in step S2, the coverage area of the automatic mineralogical analysis is more than 80% of the total area of the sample exposure surface, and a fixed step scanning mode is used to perform a serpentine path analysis on the sample surface.

[0081] In the technical solution of the embodiment of the present application, the automatic mineralogical analysis analyzes at least 80% of the total area of the sample surface, adopts a serpentine analysis path, preferably the same test area for each sample, and adopts a measurement mode preferably with fixed distance point analysis mode, that is, a fixed step size is set, and the test analysis is performed point by point in sequence. Specifically, the target element content h m To automatically measure multiple values, take the average.

[0082] Furthermore, in some embodiments, the minimum particle size of the target mineral in a two-dimensional plane is measured, and the boundary particle size is set according to the type of mineral to perform particle size classification.

[0083] In the technical solution of the embodiment of the present application, the particle size D mi It is the minimum particle size of the target mineral particles exposed in a two-dimensional plane; the particle size classification is based on the particle size determined by the mineral's own characteristics and is divided into two levels, namely, greater than or equal to a certain fixed value particle size, and less than a certain fixed value particle size; different types of target minerals use different values, which can be determined by single mineral analysis or empirical values.

[0084] Furthermore, in some embodiments, in step S3, the edge associated minerals are minerals that are directly connected to the target mineral and do not contain the target element; the edge associated minerals are divided into inclusion-type edge associated minerals and contiguous-type edge associated minerals.

[0085] In the technical solution of the embodiment of the present application, the inclusion-type edge associated minerals are other associated minerals that encapsulate the target minerals, and the contiguous-type edge associated minerals are other associated minerals that are contiguous with the target minerals. By clarifying the definition and classification of edge associated minerals, the spatial relationship between these minerals and the target minerals can be more accurately identified and analyzed, thereby improving the accuracy of automatic mineralogical analysis.

[0086] Furthermore, in some embodiments, the minimum outer diameter value of the inclusion-type edge associated minerals is directly measured; the maximum particle size of the exposed two-dimensional plane of the contiguous-type edge associated minerals is measured.

[0087] In the technical solution of the present application, by distinguishing between inclusion-type and concatenated edge-associated minerals and using different measurement indicators to determine particle size, the calculation of the particle size coefficient is more refined and more consistent with mineralogical practice. The particle size classification values for edge-associated minerals are determined empirically. The particle size characteristics of edge-associated minerals are unique measurement parameters that are inconsistent with the target mineral measurements and are a secondary factor affecting the penetration of the reagent.

[0088] Furthermore, in some embodiments, in step S4, other minerals are minerals with a relative content greater than 10%.

[0089] In the technical solution of the embodiment of the present application, other minerals are minerals whose mass accounts for more than 10%, and their particle size is the diameter converted from the circle of equal area on the two-dimensional plane where the particles are exposed. By limiting the content of other minerals, the particle size characteristics of the mineral components that have a significant impact on the overall properties of the ore can be more accurately reflected, while minerals below this content have little effect on the processing of the overall ore. The particle size classification values of other minerals are determined by empirical values. The particle size characteristics of other minerals are special measurement parameters that are different from those of target minerals and edge minerals and are the main factors affecting the penetration of reagents.

[0090] Specifically, the closer the value of the ore particle size coefficient M is to 1.00, the better the expected effect of in-situ leaching based on the particle size characteristics of the ore. Conversely, the lower the value, the worse the expected effect.

[0091] M≈1.0: The ore particle size characteristics are very suitable for in-situ leaching, and the expected leaching rate is high;

[0092] M<1.0: The crushing or leaching process needs to be optimized to improve efficiency.

[0093] Some specific examples are listed below. It should be noted that the examples described below are exemplary and are only used to explain the present application, and should not be construed as limiting the present application. Where specific techniques or conditions are not specified in the examples, the techniques or conditions described in the literature in this area or the product specifications are used. Reagents or instruments used without manufacturer's indication are all commercially available conventional products.

[0094] Example

[0095] This embodiment provides a method for determining the particle size coefficient, which is applicable to the determination of the particle size coefficient in a copper ore in-situ leaching process, and specifically includes the following steps:

[0096] S1. Select representative bulk samples from the in-situ leaching test and cut them in three dimensions to a size ≤30 mm, with length and width smaller than the diameter of the sample preparation tool. Precisely control the thickness within the range of 0.6-0.8 cm to preserve the integrity of the mineral structure. Rapid X-ray fluorescence screening is performed on the cut samples to ensure that the deviation of the target element content is less than 5%, ensuring the representativeness of the test and analytical data. Screening confirmed that the copper grade of the selected samples met the standard and was representative, with an average copper content of 12.24% (tested, the copper grade of the ore was 12.67%, indicating that this ore sample is representative).

[0097] The samples were subjected to rough grinding, resin curing and subsequent treatment, as follows:

[0098] Rough grinding: The lower surface of the sample is coarsely ground with 100 mesh abrasive until it is flat, and the ground surface is placed horizontally in the grinding tool with the ground surface facing downward.

[0099] Resin curing: Inject epoxy resin to a height of approximately 1.0 cm. Use vacuum injection (-0.1 MPa) to eliminate bubbles. Combined with programmed temperature curing, first heat to 45-55°C and hold for 40-60 minutes. Then, heat to 75-85°C and hold for 20-40 minutes at a heating rate of 5°C / min. Prepare 10 samples, labeled a. i , i is 1, 2, 3...10.

[0100] S2. For sample a i Perform automated mineralogical analysis to measure the target mineral content A to be recovered mi (m is I, II, II..., indicating the type of target mineral), measure the particle size D of the target mineral to be recovered mi , the target element content in the mth target mineral is h m , calculate the target mineral particle size coefficient M1;

[0101] Where, M1=1-0.1*∑(B m *MD m );

[0102] B m is the target mineral particle size distribution coefficient;

[0103] B m =A m *h m / ∑(A m *h m );

[0104] D m is the boundary particle size value;

[0105] MD m The content is greater than the boundary particle size;

[0106] MD m =∑D mi / i;

[0107] A m is the average content of target minerals, A m =∑A mi / i;

[0108] Example calculation: B I *MD I =A I *h I / (∑Am*hm)*MD I =4.05*34.55% / (4.05*34.55%+2.82*63.23%+16.52*57.44%)*61.55%=0.1104*61.55%=0.0680;

[0109] M1=1-0.1*∑(B m *MD m )=1-0.1*(0.0680+0.0264 +0.3843)=0.9521.

[0110] Detailed results are shown in Tables 1 and 2. Only a subset of the data is included in these tables. Ellipses (…) indicate data from other samples. All samples underwent the same test. Due to space limitations, only a subset of sample data is shown as an example.

[0111] Table 1 Measurement results of main target mineral contents

[0112]

[0113] Table 2 Test results of particle size of main target minerals

[0114]

[0115] In the automatic mineralogical analysis, more than 90% of the total area of the sample exposure surface is analyzed, and a serpentine analysis path is adopted, and the test area of each sample is the same; the measurement mode preferably adopts the fixed distance point analysis mode, that is, a fixed step size of 3 microns is set, and each point is scanned and tested and analyzed in turn.

[0116] S3. Measure the particle size characteristics of the associated minerals at the edge of the target mineral and calculate the content of minerals larger than the boundary particle size as C1; specifically C1 = ∑D i / D 总 , where D i D is the measured value of the edge associated mineral particle size that is larger than the boundary particle size. 总 It is the sum of the particle size measurements of all the edge-associated minerals;

[0117] Among them, the particle size classification of the edge associated minerals is determined by empirical value, which is 0.150mm;

[0118] C1=∑D i / D 总 =7795.13mm / 66852.48mm=0.1166.

[0119] S4. Measure the particle size characteristics of other minerals. The content of minerals larger than the cutoff particle size is C2.

[0120] Among them, C2=∑(a'*A' / ∑A'), a' is the percentage of particles larger than the dividing size, and A' is the relative content of other minerals;

[0121] C2=∑(a'*A' / ∑A')=(41.40%*53.63%+31.97%*24.82%+12.11%*12.22%) / (53.63%+24.82%+12.22%)=0.3487.

[0122] The specific results are shown in Table 3.

[0123] Table 3 Main mineral particle size test results

[0124]

[0125] Calculate the particle size coefficient M2 of other minerals;

[0126] M2=1-C1*C2=1-0.1166*0.3487=0.9593;

[0127] Among them, the particle size classification of other minerals is determined by empirical values, which is 0.074mm.

[0128] S5. Calculate the ore particle size coefficient M, where M = M1*M2 = 0.9521*0.9593 = 0.9133.

[0129] The M value is close to 1.0, indicating that the ore particle size characteristics are suitable for in situ leaching and a high leaching rate is expected.

[0130] It should be noted that the present application is not limited to the above-mentioned embodiments. The above-mentioned embodiments are merely examples, and any embodiments having substantially the same structure and effect as the technical concept within the scope of the present application are all included in the technical scope of the present application. In addition, without departing from the scope of the present application, any other embodiments that can be conceived by those skilled in the art and that combine some of the constituent elements in the embodiments are also included in the scope of the present application.

Claims

1. A method for determining a particle size coefficient, characterized in that: The following steps are involved: S1. Select bulk samples for in-situ leaching experiments, cut them into pre-set sizes, and screen them using X-ray fluorescence to ensure that the target element content deviation is less than 5%. After coarse grinding and solidification, the samples are prepared for automated mineralogical analysis. S2. Perform automatic mineralogy analysis on the sample to measure the target mineral content A. mi Target mineral particle size D mi , the target element content in the mth target mineral h m , calculate the target mineral particle size coefficient M1; Where, M1=1-0.1*∑(B m *MD m ); B m is the target mineral particle size distribution coefficient; B m =A m *h m / ∑(A m *h m ); D m is the boundary particle size value; MD m The content is greater than the boundary particle size; MD m =∑D mi / i; A m is the average content of target minerals, A m =∑A mi / i; m is I, II, III, ..., indicating the target mineral species; i is 1, 2, 3, ..., indicating the number of samples; S3. Measure the particle size distribution of the associated minerals at the edge of the target mineral and calculate the content of minerals larger than the boundary particle size C1; Where C1=∑D i / D 总 ; D i It is the measured value of the edge associated mineral particle size that is larger than the boundary particle size; D 总 It is the sum of the particle size measurements of all the edge-associated minerals; S4. Measure the particle size distribution of other minerals and calculate the content of minerals larger than the cutoff particle size, C2; Where, C2=∑(a'*A' / ∑A'); a' is the percentage of particles larger than the dividing particle size; A' is the relative content of other minerals; Calculate the particle size coefficient M2 of other minerals; Among them, M2=1-C1*C2; S5. Calculate the ore particle size coefficient M; where M=M1*M2.

2. The method for measuring the particle size coefficient according to claim 1, wherein In step S1, the preset size is that the sample particle size is ≤30 mm and the thickness is 0.3-0.8 cm.

3. The method for measuring the particle size coefficient according to claim 2, wherein: The curing process includes: placing the roughly ground sample horizontally in a grinding tool, injecting epoxy resin glue to a height of 0.8-1.2 cm, and curing by gradient heating, with the porosity of the cured body being less than 0.3%.

4. The method for measuring the particle size coefficient according to claim 3, wherein: The gradient heating method is: first heating to 45-55° C., keeping warm for 40-60 minutes, then heating to 75-85° C., keeping warm for 20-40 minutes.

5. The method for measuring the particle size coefficient according to claim 1, wherein In step S2, the coverage area of the automatic mineralogical analysis is more than 80% of the total area of the sample exposure surface, and a serpentine path analysis is performed on the sample surface using a fixed step scanning mode.

6. The method for measuring the particle size coefficient according to claim 5, wherein: Measure the minimum particle size of the target mineral in two dimensions and set the boundary particle size according to the mineral type for particle size classification.

7. The method for measuring the particle size coefficient according to claim 1, wherein In step S3, the edge associated minerals are minerals that are directly connected to the target mineral and do not contain the target element.

8. The method for measuring the particle size coefficient according to claim 7, wherein: The edge associated minerals are divided into inclusion type edge associated minerals and contiguous type edge associated minerals.

9. The method for measuring the particle size coefficient according to claim 8, wherein: The minimum outer diameter value of the said inclusion-type edge associated minerals is directly measured; the maximum particle size of the said contiguous crystal edge associated minerals is measured on the exposed two-dimensional plane.

10. The method for measuring the particle size coefficient according to claim 1, wherein: In step S4, the other minerals are minerals with a relative content greater than 10%.

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