Methods for measuring particle size of metal minerals

Through the method of grinding and automatic mineralogical analysis combined with correction coefficient, the problem of low accuracy in measuring metal minerals is solved, and more efficient and accurate particle size distribution measurement is achieved, supporting more scientific mineral resource evaluation and ore processing technology design.

CN118937169BActive Publication Date: 2025-04-04CHANGCHUN GOLD RES INST
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Patent Information

Application Number
CN202411434851.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-15
Publication Date
2025-04-04
Estimated Expiration
2044-10-15

AI Technical Summary

Technical Problem

The existing metal mineral particle size measurement methods have low accuracy. Manual microscopic identification is time-consuming and labor-intensive and data accuracy is not high. Automatic mineralogical analysis can only measure particle size information after grinding and cannot provide the original state of the ore.

Method used

The powder was obtained by grinding, and the automatic mineralogical analysis samples were prepared evenly. Automatic mineralogical analysis was carried out to detect the percentage content and particle size distribution characteristic data of the target metal mineral. Introduce correction coefficients to correct errors in sample preparation and analysis to improve measurement accuracy.

Benefits of technology

It improves the accuracy of metal mineral particle size distribution measurement, provides mineral percentage content data in multiple particle size ranges, obtains comprehensive particle size distribution characteristics, supports ore processing and ore dressing process design, and improves laboratory work efficiency and data reliability.

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Abstract

The present application provides a method for measuring the particle size of metal minerals, which belongs to the technical field of process mineralogy, and includes steps such as grinding, sample cutting, automatic mineralogical analysis and data correction. The present application can correct the errors caused by sample preparation and automatic mineralogical analysis by introducing a correction coefficient, thereby improving the accuracy of the measurement of the particle size distribution of metal minerals. Since the differences between different samples are taken into account and these differences are quantitatively corrected, the final particle size distribution results are more reliable by measuring the material composition and target mineral particle size of multiple different samples. The present application can simultaneously provide the percentage content of minerals in multiple particle size ranges, thereby obtaining a comprehensive particle size distribution feature. This method is suitable for the particle size measurement of a variety of metal minerals, has good versatility, and can be widely used in the analysis of different types of ore samples.
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Description

Technical Field

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

[0002] In the fields of geology and metallurgical technology, the study of the particle size of metal minerals in ores is a vital basic work. The field of geology focuses on the natural particle size distribution of metal minerals in ores, while the field of metallurgical technology focuses more on the particle size characteristics of metal minerals after grinding. Mineral particle size is very important for flotation. For example, metal sulfides that are too coarse (greater than 0.100mm) or too fine (less than 0.010mm) are difficult to recover completely through flotation. Therefore, the particle size of the target mineral in the ore needs to be supported by accurate data for subsequent research work. It not only affects the amount of grinding dissociation and co-generation, but also the target minerals that are too fine are easily completely wrapped by the gangue, making it difficult to float and leach and recover. It can be seen that the particle size of metal minerals in ores is of great significance to the fields of geology and metallurgy.

[0003] In the existing technology, there are certain limitations in the measurement methods of metal mineral particle size in ores. The manual microscopic identification method is currently widely used, which has the following disadvantages: large workload, manual microscopic identification requires a lot of manpower and time, and the amount of data that can be processed is limited, which is difficult to meet the requirements of statistical analysis; low data accuracy, due to the subjectivity of manual identification, the statistical results are easily affected by the operator's personal factors, resulting in low data accuracy. Although automatic mineralogical analysis and detection technology can measure the metal mineral particle size of the product after grinding to a certain extent, this method can only provide particle size information after grinding, rather than the original state of the ore. Although a certain range can be inferred, it loses the preliminary guidance significance of process mineralogy.

[0004] Therefore, there is an urgent need for a method that can accurately and efficiently measure the particle size of metal minerals in ores, so as to provide more precise data support for the fields of geology and metallurgy technology. Summary of the invention

[0005] In view of the technical problems existing in the background technology, the present application provides a method for measuring the particle size of metal minerals, aiming to solve the technical problem of low accuracy in measuring the particle size of metal minerals.

[0006] The present application provides a method for measuring the particle size of metal minerals, comprising the following steps:

[0007] S1. Grind the sample to be tested to obtain powder;

[0008] S2. The powder obtained in step S1 is mixed evenly to prepare an automatic mineralogical analysis sample, and then an automatic mineralogical analysis is performed to detect the percentage of the target metal mineral to be measured, which is recorded as b;

[0009] S3. After the sample to be tested is sampled and cut, it is directly mounted to prepare the sample for automatic mineralogical analysis, denoted as c i , i is 1, 2, 3, 4, ..., corresponding to the serial number of the samples;

[0010] S4. For sample c i Carry out automatic mineralogical analysis to detect the percentage of target metal minerals to be measured, recorded as d i , detect the particle size distribution characteristic data A of the target metal mineral i , B i , C i , D i 、E i , A, B, C, D, and E represent the percentage content of different particle size ranges;

[0011] S5. Calculate the correction factor, recorded as N i , then N i = e i / ∑e i , where e i =1-|(d i -b) / ( b+∑d i )|; i is 1, 2, 3, 4, etc., corresponding to the serial number of the samples;

[0012] S6. Correction sample c i Particle size distribution characteristic data A i , B i , C i , D i 、E i , respectively denoted as A i , , B i , , C i , , D i , 、E i , ,but

[0013] A i , =A i *N i ;

[0014] B i , = B i *N i ;

[0015] C i , = C i *N i ;

[0016] D i , = D i *N i ;

[0017] E i , = E i *N i ;

[0018] S7. Calculate the particle size distribution range of the metal minerals in the ore, denoted as M, then

[0019] M A =∑A i , ;

[0020] M B =∑B i , ;

[0021] M C =∑C i , ;

[0022] M D =∑D i , ;

[0023] M E =∑E i , .

[0024] In the technical solution of the present application, by introducing a correction coefficient, the errors caused by sample preparation and automatic mineralogical analysis can be corrected, thereby improving the accuracy of metal mineral particle size distribution measurement. Since the differences between different samples are taken into account and these differences are quantitatively corrected, the final particle size distribution results are more reliable by measuring the material composition and target mineral particle size of multiple different samples. The present application can simultaneously provide the percentage content of minerals in multiple particle size ranges, thereby obtaining a comprehensive particle size distribution feature, which is crucial for ore processing and mineral processing process design. This method is suitable for the particle size measurement of a variety of metal minerals, has good versatility, and can be widely used in the analysis of different types of ore samples.

[0025] This application combines automatic mineralogical analysis technology to improve the speed of sample analysis, reduce the cumbersome manual operations in traditional particle size analysis, improve laboratory work efficiency, avoid subjective factors in manual identification, and provide accurate data. By quantifying particle size distribution data, it provides a scientific basis for mineral resource assessment and ore processing. Accurate particle size distribution data can help optimize process parameters such as crushing, grinding and flotation, improve metal recovery and production efficiency, reduce costs, and reduce resource waste and environmental pollution.

[0026] In some embodiments, in step S1, the ore is ground to a fineness of -0.074 mm and a content of 65-85%.

[0027] In this embodiment, grinding the ore to a fineness of -0.074 mm and a content of 65-85% helps to improve the degree of dissociation of the mineral, so that the mineral particles are fully released from the ore, which is convenient for detection by analytical instruments. Samples with uniform fineness can reduce deviations in the analysis process.

[0028] In some embodiments, in step S2, the method for preparing the sample for automatic mineralogical analysis includes rolling, mixing, degassing, precipitation, side cutting, secondary mounting, grinding and polishing, and carbon spraying. In step S3, the method for preparing the sample for automatic mineralogical analysis by direct mounting includes direct mixing, mounting, grinding and polishing, and carbon spraying.

[0029] In this embodiment, by precisely controlling the operating steps, high-quality mineralogical analysis samples can be obtained, providing a reliable basis for subsequent mineralogical research and resource assessment.

[0030] In some embodiments, A, B, C, D, and E represent the percentage of particle size ranges greater than 0.300 mm, greater than 0.100 mm and less than or equal to 0.300 mm, greater than 0.053 mm and less than or equal to 0.100 mm, greater than 0.010 mm and less than or equal to 0.053 mm, and less than or equal to 0.010 mm, respectively.

[0031] In this embodiment, the particle size distribution data are obtained through automatic mineralogical analysis technology to obtain the particle size characteristics of the ore, thereby optimizing the processing flow of the ore, improving the metal recovery rate, and reducing production costs.

[0032] 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

[0033] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings used in the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 Schematic diagram of the method for measuring the particle size of metal minerals provided in this application.

[0035] Figure 2 This is a diagram of the automatic mineralogical analysis results of sample a in the examples of this application.

[0036] Figure 3 This is the pyrite particle size analysis diagram of the automatic mineralogical analysis of sample c2 in the embodiment of this application.

[0037] Figure 4 This is a partial enlarged view of the test analysis of sample c2 in the embodiment of this application. DETAILED DESCRIPTION

[0038] The following embodiments of the technical solution of the present application are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field 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" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions.

[0040] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0041] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0042] In the existing technology, there are certain limitations in the measurement method of metal mineral particle size in ores. At present, the manual microscopic identification method is generally used, which has the following disadvantages: large workload, manual microscopic identification requires a lot of manpower and time, and the amount of data that can be processed is limited, which is difficult to meet the requirements of statistical analysis; low data accuracy, due to the subjectivity of manual identification, the statistical results are easily affected by the operator's personal factors, resulting in low data accuracy.

[0043] In order to solve the technical problem of low accuracy in metal mineral particle size measurement, the present application provides a method for measuring metal mineral particle size. By introducing a correction coefficient, it is possible to correct the errors caused by sample preparation and automatic mineralogical analysis, thereby improving the accuracy of metal mineral particle size distribution measurement.

[0044] Please refer to Figure 1 The present invention provides a method for measuring the particle size of metal minerals, comprising the following steps:

[0045] S1. Grind the sample to be tested to obtain powder;

[0046] S2. The powder obtained in step S1 is mixed evenly to prepare an automatic mineralogical analysis sample, and then an automatic mineralogical analysis is performed to detect the percentage of the target metal mineral to be measured, which is recorded as b;

[0047] S3. After the sample to be tested is sampled and cut, it is directly mounted to prepare the sample for automatic mineralogical analysis, denoted as c i , i is 1, 2, 3, 4, ..., corresponding to the serial number of the samples;

[0048] S4. For sample c i Carry out automatic mineralogical analysis to detect the percentage of target metal minerals to be measured, recorded as d i , detect the particle size distribution characteristic data A of the target metal mineral i , B i , C i , D i 、E i , A, B, C, D, and E represent the percentage content of different particle size ranges;

[0049] S5. Calculate the correction factor, recorded as N i , then N i = e i / ∑e i , where e i =1-|(d i -b) / ( b+∑d i )|; i is 1, 2, 3, 4, etc., corresponding to the serial number of the samples;

[0050] S6. Correction sample c i Particle size distribution characteristic data A i , B i , C i , D i 、E i , respectively denoted as A i , , B i , , C i , , D i , 、E i , ,but

[0051] A i , =A i *N i ;

[0052] B i , = B i *N i ;

[0053] C i , = C i *N i ;

[0054] D i , = D i *N i ;

[0055] E i , = E i *N i ;

[0056] S7. Calculate the particle size distribution range of the metal minerals in the ore, denoted as M, then

[0057] M A =∑A i , ;

[0058] M B =∑B i , ;

[0059] M C =∑C i , ;

[0060] M D =∑D i ,;

[0061] M E =∑E i , .

[0062] The samples to be tested are ground to obtain powder with smaller particle size, ensuring that the minerals in the samples can be fully exposed for subsequent automatic mineralogical analysis. The ground powder is mixed evenly and prepared into samples for automatic mineralogical analysis, and then subjected to automatic mineralogical analysis. The percentage of the target metal mineral is detected as the basis for the subsequent calculation of the correction coefficient. The samples to be tested are sampled and cut, and directly inlaid to prepare samples for automatic mineralogical analysis, and the particle size distribution characteristic data of different samples are obtained. The calculation of the correction coefficient is based on the difference between the percentage of the target metal mineral of each sample and the percentage of the metal mineral of the powder after grinding. This difference reflects the error that may be introduced during the sample preparation process. By calculating the correction coefficient, the influence of these errors on the measurement results can be reduced. The correction coefficient is used to correct the particle size distribution characteristic data of the sample to obtain more accurate particle size distribution data. The corrected particle size distribution data of all samples are summed to obtain the particle size distribution range of the ore metal minerals.

[0063] Furthermore, in some embodiments, in step S1, the ore is ground to a fineness of -0.074 mm and a content of 65-85%.

[0064] In the technical solution of the embodiment of the present application, the sampling amount of the sample to be tested is preferably 5 kg, which can appropriately reduce the sample mass, the main purpose of which is to make the sampling uniform and representative; grinding the ore to an appropriate fineness can ensure that the analytical instrument can accurately identify and measure the mineral particle size and reduce deviations in the analysis process.

[0065] Furthermore, in some embodiments, in step S2, the method for preparing samples for automatic mineralogical analysis includes rolling, mixing, degassing, precipitation, side cutting, secondary mounting, grinding and polishing, and carbon spraying operations.

[0066] In the technical solution of the embodiment of the present application, the error in the analysis process can be reduced and the reliability of the results can be improved through careful sample preparation.

[0067] Furthermore, in some embodiments, in step S3, the method for preparing samples for automatic mineralogical analysis by direct mounting includes direct glue mixing mounting, grinding and polishing, and carbon spraying operations.

[0068] In the technical solution of the embodiment of the present application, ore samples are sampled, and representative ore samples containing target metal minerals are selected; the horizontal plane size of the sample after cutting is as large as possible and smaller than the size of the sample preparation mold so that the sample can be placed therein; by directly mixing and inlaying the sample after sampling and cutting, the loss of the sample during the processing can be reduced, the original state of the ore can be maintained, the analysis results can better reflect the true composition and content of the ore, and the analysis accuracy can be improved.

[0069] Further, in some embodiments, A, B, C, D, and E respectively represent the percentage of particle size ranges greater than 0.300 mm, greater than 0.100 mm and less than or equal to 0.300 mm, greater than 0.053 mm and less than or equal to 0.100 mm, greater than 0.010 mm and less than or equal to 0.053 mm, and less than or equal to 0.010 mm.

[0070] In the technical solution of the embodiment of the present application, different particle size ranges have different effects on the processing and extraction of ore. These particle size distribution data are obtained through automatic mineralogical analysis technology to obtain the particle size characteristics of the ore, thereby optimizing the processing flow of the ore.

[0071] Some specific embodiments are listed below. It should be noted that the embodiments described below are exemplary and are only used to explain the present application, and should not be construed as limiting the present application. If specific techniques or conditions are not specified in the embodiments, the techniques or conditions described in the literature in this area or the product specifications are used. The reagents or instruments used without specifying the manufacturer are all conventional products that can be obtained commercially.

[0072] Example

[0073] This embodiment provides a method for measuring the particle size of a metal mineral, wherein the metal mineral is pyrite in a certain ore, such as Figure 1 As shown, the following steps are included:

[0074] S1. Take 5kg of the sample to be tested and grind it to a grinding fineness of -0.074mm and a content of 70% to obtain a powder;

[0075] S2. The powder obtained in step S1 is mixed evenly, 2 g of sample is taken to prepare automatic mineralogical analysis sample a, and then automatic mineralogical analysis is performed. The analysis results are as follows Figure 2 As shown, the percentage of pyrite was measured as b = 5.00%;

[0076] S3. Take samples of ore, cut them into appropriate sizes, mount them directly, and prepare samples for automatic mineralogical analysis, denoted as ci (i is 1, 2, 3, 4);

[0077] S4. For sample c iCarry out automatic mineralogy analysis, magnify the scale of the sample to be tested and select the measurement area to take the same parameter settings, and detect the percentage of the target metal mineral to be measured, recorded as d i , detect the particle size distribution characteristic data A of the target metal mineral i , B i , C i , D i 、E i , A, B, C, D, E represent the percentage content of particle size ranges greater than 0.300 mm, greater than 0.100 mm and less than or equal to 0.300 mm, greater than 0.053 mm and less than or equal to 0.100 mm, greater than 0.010 mm and less than or equal to 0.053 mm, and less than or equal to 0.010 mm, respectively. The brightness lower than the target mineral is deducted as the background value. The results are shown in Table 1; Sample c2 automatic mineralogy analysis pyrite particle size analysis as shown in Figure 3 As shown, the local enlarged picture is as follows Figure 4 shown.

[0078] S5. Calculate the correction factor, recorded as N i , then N i = e i / ∑e i , where e i =1-|(d i -b) / ( b+∑d i )|; the results are shown in Table 2; taking N1 as an example, the specific calculation process is as follows: e1=1-|(d1-b) / (b+∑d i )|=1-|(0.0456-0.05) / ( 0.05+0.0456+0.0811+0.2106+0.1623)|=1-0.008006=0.991994;

[0079] N1= e1 / ∑e i =0.991994 / (0.991994+0.943413+0.707787+0.79567)=0.288466;

[0080] S6. Correction sample c i Particle size distribution characteristic data A i , B i , C i , D i 、E i , respectively denoted as A i , , B i , , C i , , D i , 、Ei , ,but

[0081] A i , =A i *N i ;

[0082] B i , = B i *N i ;

[0083] C i , = C i *N i ;

[0084] D i , = D i *N i ;

[0085] E i , = E i *N i ;

[0086] The calculation results are shown in Table 3. Taking i=1 as an example, the calculation results are as follows:

[0087] A1 , =A1*N1=5.23%*0.288466=1.51%;

[0088] B1 , = B1*N1=6.14%*0.288466=1.77%;

[0089] C i , = C i *N i =7.56%*0.288466=2.18%;

[0090] D1 , = D1*N=9.88%*0.288466=2.85%;

[0091] E1 , = E1*N1=71.19%*0.288466=20.54%;

[0092] S7. Calculate the particle size distribution range of the metal minerals in the ore, denoted as M, then

[0093] M A =∑A i ,;

[0094] M B =∑B i , ;

[0095] M C =∑C i , ;

[0096] M D =∑D i , ;

[0097] M E =∑E i , ;

[0098] The calculation results are shown in Table 3. A For example, the calculation results are as follows:

[0099] M A =∑A i , =1.51%+2.89%+0.32%+0=4.72%.

[0100]

[0101]

[0102]

[0103] It can be seen from the test results that the measurement method of the present application is practical, the data is accurate, and it can accurately measure the particle size distribution characteristics of pyrite in a certain ore, providing more accurate data support for the fields of geology and metallurgy technology.

[0104] It should be noted that the present application is not limited to the above-mentioned embodiments. The above-mentioned embodiments are only examples, and the embodiments having the same structure as the technical idea and exerting the same effect within the scope of the technical solution of the present application are all included in the technical scope of the present application. In addition, without departing from the scope of the main purpose of the present application, various modifications that can be thought of by those skilled in the art to the embodiments and other methods of combining some of the constituent elements in the embodiments are also included in the scope of the present application.

Claims

1. A method for measuring the particle size of metal minerals, characterized in that: The following steps are involved: S1. Grind the sample to be tested to obtain powder; S2. The powder obtained in step S1 is mixed evenly to prepare an automatic mineralogical analysis sample, and then an automatic mineralogical analysis is performed to detect the percentage of the target metal mineral to be measured, which is recorded as b; S3. After the sample to be tested is sampled and cut, it is directly mounted to prepare the sample for automatic mineralogical analysis, denoted as c i , i is 1, 2, 3, 4, ..., corresponding to the serial number of the samples; S4. For sample c i Carry out automatic mineralogical analysis to detect the percentage of target metal minerals to be measured, recorded as d i , detect the particle size distribution characteristic data A of the target metal mineral i , B i , C i , D i 、E i , A, B, C, D, and E represent the percentage content of different particle size ranges; S5. Calculate the correction factor, recorded as N i , then N i = e i / ∑e i , where e i =1-|(d i -b) / ( b+∑d i )|; i is 1, 2, 3, 4, etc., corresponding to the serial number of the samples; S6. Correction sample c i Particle size distribution characteristic data A i , B i , C i , D i 、E i , respectively denoted as A i , , B i , , C i , , D i , 、E i , ,but A i , =A i *N i ; B i , = B i *N i ; C i , = C i *N i ; D i , = D i *N i ; AND i , = And i *N i ; S7. Calculate the particle size distribution range of the metal minerals in the ore, denoted as M, then M A =∑A i , ; M B =∑B i , ; M C =∑C i , ; M D =∑D i , ; M E =∑E i , 。 2. The method for measuring the particle size of metal minerals according to claim 1, characterized in that: In step S1, the ore is ground to a fineness of -0.074 mm and a content of 65-85%.

3. The method for measuring the particle size of metal minerals according to claim 1, characterized in that: In step S2, the method for preparing samples for automatic mineralogical analysis includes rolling, mixing, degassing, precipitation, side cutting, secondary mounting, grinding and polishing, and carbon spraying operations.

4. The method for measuring the particle size of metal minerals according to claim 1, characterized in that: In step S3, the method for preparing samples for automatic mineralogical analysis by direct mounting includes direct glue mixing mounting, grinding and polishing, and carbon spraying operations.

5. The method for measuring the particle size of metal minerals according to claim 1, characterized in that: A, B, C, D, and E represent the percentage of particle size ranges greater than 0.300 mm, greater than 0.100 mm and less than or equal to 0.300 mm, greater than 0.053 mm and less than or equal to 0.100 mm, greater than 0.010 mm and less than or equal to 0.053 mm, and less than or equal to 0.010 mm, respectively.

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