Method for determining zinc mineral content and metal distribution characteristics in copper-zinc-iron skarn ores associated with gold and silver

Abstract

The present application provides a method for determining the zinc mineral content and the metal distribution characteristics of zinc in copper-zinc-iron skarn-type ores associated with gold and silver, belonging to the technical field of process mineralogy. The method comprises crushing, fine grinding, and flotation of the sample to be tested to obtain zinc concentrate, and using MLA test to obtain the type of zinc minerals and the relative content M i ', introduce the first correction coefficient L to calculate the actual relative content of zinc minerals M i Then, the zinc concentrate was processed to obtain hemimorphite, sphalerite, sphalerite and smithsonite, and MLA optical sections were prepared for each of them. The zinc content Zn was calculated by scanning electron microscopy. i ', introduce the second correction coefficient K, calculate the distribution of zinc in zinc concentrate in hemimorphite, sphalerite, sphalerite and smithsonite Zn i , that is, the distribution of zinc metal in the zinc concentrate is obtained. This application improves the accuracy of the test of the relative content of zinc minerals and the zinc metal distribution characteristics by introducing correction coefficients L and K, which is beneficial to the selection of mineral processing processes and reduces the waste of zinc resources in smelting.

Description

Technical Field

[0001] The present invention relates to the technical field of process mineralogy, and in particular to a method for determining the zinc mineral content and the metal distribution characteristics of zinc in a copper-zinc-iron skarn-type ore associated with gold and silver. Background Art

[0002] Zinc metal is an important industrial material with excellent ductility, wear resistance, and corrosion resistance. It can not only be made into high-performance alloys with a variety of metals, but can also be applied to the surface of materials requiring protection through hot-dip galvanizing, electroplating, and coating galvanizing to provide corrosion protection. Zinc plays a vital role in metallurgy, chemical engineering, electronics, agriculture, and other fields. With the continuous development of technology, zinc is constantly being explored for use in new fields, and the market demand for new mineral resources will continue to increase in the future. In order to rationally utilize zinc ore resources, it is necessary to further improve the detection technology of zinc minerals and zinc metal in ores, especially to develop more efficient, accurate, and reasonable detection methods to assist in the smelting and recovery of zinc minerals.

[0003] Zinc minerals in mineral resources come in different categories. Due to the varying physical and chemical properties of these minerals, different recovery processes are required. Existing methods struggle to accurately determine the actual relative content and distribution of zinc metal in ore, making it difficult to select the most appropriate beneficiation process based on the type of zinc mineral and its distribution. This results in a waste of zinc resources during smelting. Errors in zinc metal determination in existing techniques are primarily related to mineral paragenesis and impurities within the minerals. The same mineral can vary in crystallinity, particle size, color, transparency, internal structure and crystal form, and trace chemical composition. The interactions between different crystal structures and slight differences in chemical composition can interfere with the test.

[0004] In view of this, it is necessary to design a method for determining the zinc mineral content and zinc metal distribution characteristics in copper-zinc-iron skarn-type ores associated with gold and silver, so as to solve the technical problem that the detection results of the relative content of different zinc minerals and the zinc metal distribution characteristics in the ore are not accurate enough. Summary of the Invention

[0005] In view of the technical problems existing in the background technology, the present application provides a method for determining the zinc mineral content and the metal distribution characteristics of zinc in copper-zinc-iron skarn-type ores associated with gold and silver, aiming to solve the technical problem that the detection results of the relative content of different zinc minerals and the zinc metal distribution characteristics in the ore are not accurate enough.

[0006] The present invention provides a method for determining the zinc mineral content and the metal distribution characteristics of zinc in a copper-zinc-iron skarn ore associated with gold and silver, comprising the following steps:

[0007] S1, taking the sample to be tested, crushing and fine grinding the sample to be tested;

[0008] S2, flotation of the ore obtained by crushing and fine grinding in step S1 to obtain zinc concentrate;

[0009] S3, taking a sample from the zinc concentrate obtained in step S1, and testing the type and relative content of zinc minerals M using an automatic mineral analyzer (MLA) i ';

[0010] S4, calculate the actual relative content M of zinc minerals i , that is, the zinc mineral content is obtained;

[0011] S5, the zinc concentrate obtained in step S1 is processed to obtain hemimorphite, sphalerite, sphalerite and smithsonite, and then MLA optical slices are prepared respectively, and the zinc content Zn is calculated by scanning electron microscopy analysis. i ';

[0012] S6, calculate the distribution of zinc in zinc concentrate in hemimorphite, sphalerite, sphalerite and smithsonite i , that is, the distribution of zinc metal in zinc concentrate is obtained.

[0013] Furthermore, M i =M i '×L, where L is the first correction coefficient, and the calculation formula of the first correction coefficient is L=1 / n×∑L n , n is an integer between 1 and 10.

[0014] Furthermore, L n The calculation method is to take four samples of hemimorphite mixed with quartz, sphalerite mixed with quartz, sphalerite mixed with quartz, and smithsonite mixed with quartz, and use an automatic mineral analyzer to test the relative content of zinc minerals in the four samples M. in , respectively hemimorphite M An 、Sphalerite M Bn , sphalerite M Cn 、smithsonite M Dn Then, the four samples were uniformly mixed to obtain a mixed sample, and the relative content of zinc minerals in the mixed sample was obtained by MLA test. in ', respectively hemimorphite M An '、Sphalerite M Bn '、Fe-sphalerite M Cn '、smithsonite M Dn ', finally, through the formula L n =(M An / M An '+M Bn / M Bn '+M Cn / MCn '+M Dn / M Dn ') / 16 calculates L n .

[0015] Furthermore, the zinc concentrate contains at least two of hemimorphite, sphalerite, sphalerite and smithsonite; i=A, B, C, D refer to hemimorphite, sphalerite, sphalerite and smithsonite respectively.

[0016] Furthermore, in step S5, the zinc concentrate is treated by nitric acid to obtain hemimorphite, hydrochloric acid to obtain sphalerite, hydrochloric acid to obtain ferrosphalerite, and artificial gravity separation to obtain smithsonite.

[0017] Furthermore, in step S3, the parameters of the automatic mineral analyzer are set to a beam spot size of 300 kps, a grayscale value of 21, a brightness of 79, and a measured mineral grayscale value of 18-30.

[0018] Furthermore, in step S6, Zn i =M i '×L×Zn i '×K, where K is the second correction coefficient.

[0019] Furthermore, the calculation method of K is to take p hemimorphite samples obtained in step S3 and analyze them to obtain the zinc grade Zn 品位1 、Zn 品位2 、...、Zn 品位p , then by the formula K=(∑Zn 品位p ) / (n×M A '×L×Zn A ') K is calculated, 2≤p≤20.

[0020] Furthermore, in step S1, the process of crushing and fine grinding the sample to be tested is as follows: first, the sample to be tested is crushed to an ore particle size of less than 2 mm, then the crushed ore is screened, and the ore with a particle size greater than 200 mesh is further finely ground, and then mixed and re-screened, and the fine grinding-screening steps are repeated until the ore with a particle size less than 200 mesh accounts for 80% or more of the total ore weight.

[0021] Furthermore, in step S2, the specific method of obtaining zinc concentrate by flotation is to firstly float out copper concentrate through a first-stage roughing and a second-stage cleaning to obtain tailings, and then the tailings are subjected to two-stage copper scavenging and then sent to a flotation device to float out zinc concentrate.

[0022] The beneficial effects of this application are as follows:

[0023] The present application provides a method for determining the zinc mineral content and the metal distribution characteristics of zinc in copper-zinc-iron skarn-type ores associated with gold and silver. The sample to be tested is crushed, finely ground, and floated to obtain zinc concentrate. The MLA test is used to obtain the type of zinc minerals and the relative content M. i ', introduce the first correction coefficient L to calculate the actual relative content of zinc minerals M i Then, the zinc concentrate was processed to obtain hemimorphite, sphalerite, sphalerite and smithsonite, and MLA optical sections were prepared for each of them. The zinc content Zn was calculated by scanning electron microscopy. i ', introduce the second correction coefficient K, calculate the distribution of zinc in zinc concentrate in hemimorphite, sphalerite, sphalerite and smithsonite Zn i , that is, the distribution of zinc metal in zinc concentrate is obtained.

[0024] (1) This application improves the test accuracy of the relative content of zinc minerals by introducing the first correction coefficient L. First, hemimorphite, sphalerite, sphalerite and smithsonite are mixed with quartz to obtain the relative content M of the four zinc minerals. in , then the four samples were mixed and the relative content of zinc minerals in the mixed sample was tested. in ', through the formula L=1 / n×∑L n and L n =(M An / M An '+M Bn / M Bn '+M Cn / M Cn '+M Dn / M Dn ') / 4 to calculate the first correction coefficient L, so as to eliminate the influence of paragenetic minerals as much as possible, correct the test results and reduce the error.

[0025] (2) This application improves the test accuracy of zinc metal content by introducing the second correction coefficient K. Take p hemimorphite samples obtained in step S3 and analyze them to obtain the zinc grade Zn 品位1 、Zn 品位2 、...、Zn 品位p , then by the formula K=(∑Zn 品位p ) / (n×M A '×L×Zn A K is calculated using the nitric acid '). Hemimorphite is a silicate mineral that can be treated with nitric acid to produce a higher-purity hemimorphite. Zinc grades obtained from hemimorphite samples are more accurate and representative. Correcting the zinc content using the zinc grade of the hemimorphite sample can further reduce testing errors caused by paragenetic minerals and impurities.

[0026] 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. DETAILED DESCRIPTION

[0027] The following embodiments of the technical solution of the present application are described in detail. 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 are not intended to limit the scope of protection of the present application.

[0028] 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 description and claims of this application are intended to cover non-exclusive inclusions.

[0029] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0030] 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.

[0031] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0032] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0033] There are different types of zinc minerals in mineral resources. Due to the different physical and chemical properties of different zinc minerals, the corresponding recovery processes used are also different. The methods in the existing technology are difficult to accurately determine the actual relative content of different zinc minerals and the actual zinc metal distribution characteristics in the ore. It is impossible to select the most suitable mineral processing process based on the type of zinc mineral and zinc metal distribution, resulting in waste of zinc resources in smelting.

[0034] To address the technical problem of inaccurate test results for the relative content of different zinc minerals and the distribution characteristics of zinc metal in ores, the present application provides a method for determining the zinc mineral content and the distribution characteristics of zinc metal in copper-zinc-iron skarn-type ores associated with gold and silver. The method improves the test accuracy of the relative content of zinc minerals by introducing a first correction coefficient, L, and improves the test accuracy of the zinc metal content by introducing a second correction coefficient, K. The correction coefficients provided in the present application can minimize the influence of paragenetic minerals, correct test results, reduce test errors caused by paragenetic minerals and impurities, and ultimately obtain a more accurate zinc metal distribution.

[0035] The present invention provides a method for determining the zinc mineral content and the metal distribution characteristics of zinc in a copper-zinc-iron skarn ore associated with gold and silver, which specifically comprises the following steps:

[0036] S1, take the sample to be tested, crush it and grind it finely.

[0037] Among them, the process of crushing and fine grinding the sample to be tested is to first crush the sample to be tested to an ore particle size of less than 2 mm, then screen the crushed ore, take the ore with a particle size greater than 200 mesh for further fine grinding, then mix and re-screen, and repeat the fine grinding-screening steps until the ore with a particle size less than 200 mesh accounts for 80% or more of the total ore weight.

[0038] S2, flotation of the ore obtained by crushing and fine grinding in step S1 to obtain zinc concentrate.

[0039] The specific method of obtaining zinc concentrate by flotation is to first float out the copper concentrate through a roughing stage and a cleaning stage to obtain tailings, and then send the tailings to the flotation equipment for flotation of zinc concentrate after two-stage copper scavenging.

[0040] S3, taking a sample from the zinc concentrate obtained in step S1, and testing the type and relative content of zinc minerals M using an automatic mineral analyzer (MLA) i '. Among them, the MLA parameters are set to beam size 300kps, gray value 21, brightness 79, and the measured mineral gray value is 18-30. The relative content of zinc minerals obtained by the test is M i ', i = A, B, C, D refer to hemimorphite, sphalerite, sphalerite, and smithsonite respectively. That is, the relative content of hemimorphite obtained by the test is M A ', the relative content of sphalerite is MB ', the relative content of sphalerite is M C ', the relative content of smithsonite is M D '.

[0041] S4, introduce the first correction coefficient L, and calculate the actual relative content of zinc minerals to be M i , M i =M i '×L. That is, the actual relative content of hemimorphite is calculated to be M A =M A '×L, the actual relative content of sphalerite is M B =M B '×L, the actual relative content of sphalerite is M C =M C '×L, the actual relative content of smithsonite is M D =M D '×L.

[0042] Where L = 1 / n × ∑L n =(L1+L2+L3+...+L n ) / n. Preferably, n is an integer between 1 and 10 (including 1 and 10), that is, n=1, 2, 3, ..., 10. L n The calculation method is to take four samples of hemimorphite mixed with quartz, sphalerite mixed with quartz, sphalerite mixed with quartz, and smithsonite mixed with quartz, and use MLA to test the relative content of zinc minerals in the four samples. in , respectively hemimorphite M An 、Sphalerite M Bn , sphalerite M Cn 、smithsonite M Dn , where 0≤M An ≤100%, 0≤M Bn ≤100%, 0≤M Cn ≤100%, 0≤M Dn ≤100%, and 0<M An +M Bn +M Cn +M Dn Then, the above four samples were evenly mixed to obtain a mixed sample, and the relative content of zinc minerals in the mixed sample was obtained by MLA test. in ', respectively hemimorphite M An '、Sphalerite M Bn '、Fe-sphalerite M Cn '、smithsonite M Dn ', where 0≤M An '≤100%,0≤M Bn '≤100%,0≤MCn '≤100%,0≤M Dn '≤100%, and 0<M An '+M Bn '+M Cn '+M Dn '<100,L n =(M An / M An '+M Bn / M Bn '+M Cn / M Cn '+M Dn / M Dn ') / 16.

[0043] That is, L1=(M A1 / M A1 '+M B1 / M B1 '+M C1 / M C1 '+M D1 / M D1 ') / 16;

[0044] L2=(M A2 / M A2 '+M B2 / M B2 '+M C2 / M C2 '+M D2 / M D2 ') / 16;

[0045] L3=(M A3 / M A3 '+M B3 / M B3 '+M C3 / M C3 '+M D3 / M D3 ') / 16;

[0046] ...and so on.

[0047] S5, the zinc concentrate obtained in step S1 is processed to obtain hemimorphite, sphalerite, sphalerite and smithsonite, and MLA optical slices are prepared. The zinc content is analyzed at multiple points using a scanning electron microscope and the average value Zn is calculated. i Preferably, the number of analysis points selected by the scanning electron microscope is 2-10.

[0048] In step S3, the zinc concentrate is treated with nitric acid to obtain hemimorphite, treated with hydrochloric acid to obtain sphalerite and ferro-sphalerite, and manually re-selected to obtain smithsonite. The method of treating the zinc concentrate with nitric acid to obtain hemimorphite is specifically to treat the zinc concentrate with 100% nitric acid at a liquid-solid ratio of 200mL:50g at 80-100°C for 2-3h. The method of treating the zinc concentrate with hydrochloric acid to obtain sphalerite and ferro-sphalerite is to treat the zinc concentrate with 28-32% hydrochloric acid at 60-80°C for 2-3h to obtain a mixture of ferro-sphalerite and sphalerite, and then separate the two by magnetic separation (ferro-sphalerite is magnetic, while sphalerite is non-magnetic).

[0049] S6, introduce the second correction coefficient K to calculate the distribution of zinc in zinc concentrate in hemimorphite, sphalerite, sphalerite and smithsonite Zn i , Zn i =M i '×L×Zn i '×K, that is, the distribution of zinc metal in zinc concentrate is obtained.

[0050] Specifically, the calculation method of K is to take p hemimorphite samples obtained in step S3 and analyze them to obtain the zinc grade Zn 品位1 、Zn 品位2 、...、Zn 品位p ,K=(∑Zn 品位p ) / (n×M A '×L×Zn A '). Preferably, 2≤p≤20.

[0051] The zinc mineral content and zinc metal distribution characteristics calculated in this application are shown in the following table:

[0052]

[0053] 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.

[0054] Example 1

[0055] Example 1 provides a method for determining the zinc mineral content and the metal distribution characteristics of zinc in a copper-zinc-iron skarn-type ore associated with gold and silver, which specifically comprises the following steps:

[0056] S1. Take the sample to be tested (copper-zinc-iron skarn-type ore with associated gold and silver from a mining company, with a sample grade of Au 0.33 g / t, Ag 59.20 g / t, Cu 0.815%, Zn 5.65%, Fe 28.94%), and crush it by jaw crusher until the ore particle size is less than 2 mm. Then, sieve the crushed ore, take the ore with a particle size greater than 0.074 mm, further grind it, mix it, re-sieve it, and repeat the fine grinding-screening steps until the ore with a particle size less than 0.074 mm accounts for 80% of the total ore weight.

[0057] In step S2, the ore crushed and finely ground in step S1 is subjected to flotation to obtain zinc concentrate. The copper concentrate is first floated out through a first-stage roughing and a second-stage cleaning process to obtain tailings. The tailings are then subjected to two stages of copper scavenging before being sent to a flotation facility to flotate out the zinc concentrate.

[0058] S3, taking a sample from the zinc concentrate obtained in step S1, and testing the type and relative content of zinc minerals M using an automatic mineral analyzer (MLA) i ', MLA parameters are set as beam size 300kps, gray value 21, brightness 79, the measured mineral gray value is 21, and the relative content of hemimorphite is 0.46% (i.e. M A '=0.46%), the relative content of sphalerite is 2.71% (i.e. M B '=2.71%), the relative content of sphalerite is 7.09% (i.e. M C '=7.09%), the relative content of smithsonite is 0.2% (i.e. M D '=0.2%).

[0059] S4, four samples were obtained by mixing hemimorphite with quartz, sphalerite with quartz, sphalerite with quartz, and smithsonite with quartz. The relative content of zinc minerals in the four samples was obtained by MLA test. in Then, the above four samples were evenly mixed to obtain a mixed sample, and the relative content of zinc minerals in the mixed sample was obtained by MLA test. in Repeat the above steps to obtain 6 sets of data, that is, n=6, as shown in Table 1. According to the formula L=1 / n×∑L n =(L1+L2+L3+...+L n ) / n to calculate the first correction coefficient L is 0.89, L is introduced into the formula M i =M i '×L calculates the actual relative content of zinc minerals M i The content is: hemimorphite 0.41%, sphalerite 2.41%, sphalerite 6.31%, and smithsonite 0.18%.

[0060] Table 1 Calculation data of the first correction coefficient L

[0061]

[0062] S5, take four samples of the zinc concentrate obtained in step S1, treat them with nitric acid to obtain hemimorphite, treat them with hydrochloric acid to obtain sphalerite, treat them with hydrochloric acid to obtain ferrosphalerite, and manually reselect to obtain smithsonite. Among them, the method of treating zinc concentrate with nitric acid to obtain hemimorphite is specifically to treat the zinc concentrate with 100% nitric acid at a liquid-solid ratio of 200mL:50g at 100°C for 2h. The method of treating zinc concentrate with hydrochloric acid to obtain sphalerite is specifically to treat the zinc concentrate with 30% hydrochloric acid at 80°C for 2h to obtain a mixture of ferrosphalerite and sphalerite, and then separate the two by magnetic separation. MLA optical slices were prepared with hemimorphite, sphalerite, ferrosphalerite, and smithsonite respectively, and 3-4 points were selected by scanning electron microscopy to analyze the zinc content and calculate the average value Zn i ', where the zinc content of hemimorphite is Zn A ' is 48.40%, the zinc content of sphalerite is Zn B ' is 63.25%, the zinc content of sphalerite is Zn C ' is 56.50%, the zinc content of smithsonite is Zn D ' is 52.62%. The scanning electron microscope energy spectrum component analysis data can be found in Table 2-4.

[0063] Table 2 SEM energy spectrum analysis data of hemimorphite

[0064]

[0065] Table 3 SEM EDS composition analysis data of sphalerite and ferrosphalerite

[0066]

[0067] Table 4 SEM energy spectrum analysis data of smithsonite

[0068]

[0069] Since the C content in the mineral cannot be quantified using a scanning electron microscope, the average zinc content of smithsonite obtained in Table 4 needs to be further corrected based on the mass fraction of C in the molecular formula ZnCO3. The calculated zinc content of smithsonite is 52.62%.

[0070] S6, take the four hemimorphite samples obtained in step S3 and test them to obtain zinc grades of 0.226, 0.180, 0.187, and 0.210. According to the formula K=(∑Zn 品位p ) / (n×M A '×L×Zn A ') calculated K = 1.04, K is introduced as the second correction coefficient into the zinc metal distribution Zn in zinc concentratei In the calculation, the distribution of zinc in hemimorphite is 0.20%, the distribution in sphalerite is 1.53%, the distribution in sphalerite is 3.58%, and the distribution in smithsonite is 0.09%.

[0071] The zinc mineral content and zinc metal distribution characteristics obtained from the test in Example 1 are shown in Table 5.

[0072] Table 5 Zinc mineral content and zinc metal distribution characteristics

[0073]

[0074] Example 2

[0075] Example 2 differs from Example 1 in that, in step S1, the sample to be tested is a mine sample with a grade of 1.16 g / t Au, 42.50 g / t Ag, 0.67% Cu, 6.11% Zn, and 3.18% Fe. The testing method and steps are the same as those in Example 1 and are not further described here. The zinc mineral content and metal distribution characteristics of zinc obtained in Example 2 are shown in Table 6 (L = 0.86, K = 1.04).

[0076] Table 6 Zinc mineral content and zinc metal distribution characteristics

[0077]

[0078] Example 3

[0079] Example 3 differs from Example 1 in that, in step S1, the sample to be tested is a sample from a mine in Tibet, with a grade of 0.13 g / t Au, 38.60 g / t Ag, 2.55% Cu, 7.21% Zn, and 6.72% Fe. The testing method and testing steps are the same as those in Example 1 and are not further described here. The zinc mineral content and metal distribution characteristics of zinc obtained in Example 3 are shown in Table 7 (L=0.86, K=1.04).

[0080] Table 7 Zinc mineral content and zinc metal distribution characteristics

[0081]

[0082] Example 4

[0083] Example 4 differs from Example 1 in that, in step S1, the sample to be tested is a mine sample from Liaoning Province, with a grade of Au 0.09 g / t, Ag 56.66 g / t, Cu 3.10%, Zn 6.86%, and Fe 10.23%. The testing method and testing steps are the same as those in Example 1 and are not repeated here. The zinc mineral content and zinc metal distribution characteristics obtained by testing in Example 4 are shown in Table 8 (L=0.86, K=1.04).

[0084] Table 8 Zinc mineral content and zinc metal distribution characteristics

[0085]

[0086] Example 5

[0087] Example 5 differs from Example 1 in that, in step S1, the sample to be tested is a sample from a mine in Tibet, with a grade of 0.16 g / t Au, 44.36 g / t Ag, 2.80% Cu, 5.16% Zn, and 8.41% Fe. The testing method and steps are the same as those in Example 1 and are not further described here. The zinc mineral content and metal distribution characteristics of zinc obtained in Example 5 are shown in Table 9.

[0088] Table 9 Zinc mineral content and zinc metal distribution characteristics

[0089]

[0090] Example 6

[0091] Example 6 differs from Example 1 in that, in step S4, eight sets of data are used to calculate the first correction coefficient L, i.e., n=8. As shown in Table 10, the calculated L is 0.88. The remaining steps are the same as in Example 1 and are not further described here. In Example 6, the second correction coefficient K=1.04, and the calculated zinc mineral content and zinc metal distribution characteristics are shown in Table 11.

[0092] Table 10 Calculation data of the first correction coefficient L

[0093]

[0094] Table 11 Zinc mineral content and zinc metal distribution characteristics

[0095]

[0096] Example 7

[0097] Example 7 differs from Example 1 in that, in step S4, 10 sets of data are used to calculate the first correction coefficient L, i.e., n=10. As shown in Table 12, the calculated L is 0.89. The other steps are the same as in Example 1, and the second correction coefficient K=1.04. The zinc mineral content and zinc metal distribution characteristics obtained in Example 7 are the same as those in Example 1 and are not further described here.

[0098] Table 12 Calculation data of the first correction coefficient L

[0099]

[0100] Generally, the larger n is, the higher the data accuracy is. However, when n is sufficiently large, its impact on data accuracy is no longer significant. The values of the first correction coefficient L obtained in Examples 1 and 6-7 are very similar. It can be inferred that when n is greater than 10, its impact on the first correction coefficient L is already very small and can be ignored. From the perspective of saving testing cost and time, it is sufficient to test no more than 10 groups of data when calculating the first correction coefficient L, that is, 1≤n≤10.

[0101] In summary, this application provides a method for determining the zinc mineral content and zinc metal distribution characteristics in copper-zinc-iron skarn-type ores associated with gold and silver. By introducing a first correction factor, L, the accuracy of the relative zinc mineral content is improved, while by introducing a second correction factor, K, the accuracy of the zinc metal content is improved, ultimately resulting in a more accurate zinc metal distribution.

[0102] 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 the zinc mineral content and the metal distribution characteristics of zinc in copper-zinc-iron skarn-type ores associated with gold and silver, characterized in that: The steps include: S1, taking the sample to be tested, crushing and fine grinding the sample to be tested; S2, flotation of the ore obtained by crushing and fine grinding in step S1 to obtain zinc concentrate; S3, taking a sample from the zinc concentrate obtained in step S1, and testing the type and relative content of zinc minerals M using an automatic mineral analyzer i ';M i =M i '×L, where L is the first correction coefficient, and the calculation formula of the first correction coefficient is L=1 / n×∑L n , n is an integer between 1 and 10; L n The calculation method is to take four samples of hemimorphite mixed with quartz, sphalerite mixed with quartz, sphalerite mixed with quartz, and smithsonite mixed with quartz, and use an automatic mineral analyzer to test the relative content of zinc minerals in the four samples M. in , respectively hemimorphite M An 、Sphalerite M Bn , sphalerite M Cn 、smithsonite M Dn Then, the four samples were uniformly mixed to obtain a mixed sample, and the relative content of zinc minerals in the mixed sample was obtained by MLA test. in ', respectively hemimorphite M An '、Sphalerite M Bn '、Fe-sphalerite M Cn '、smithsonite M Dn ', finally, through the formula L n =(M An / M An '+M Bn / M Bn '+M Cn / M Cn '+M Dn / M Dn ') / 16 calculates L n ; S4, calculate the actual relative content M of zinc minerals i , that is, the zinc mineral content is obtained; S5, the zinc concentrate obtained in step S1 is processed to obtain hemimorphite, sphalerite, sphalerite and smithsonite, and then MLA optical slices are prepared respectively, and the zinc content Zn is calculated by scanning electron microscopy analysis. i '; S6, calculate the distribution of zinc in zinc concentrate in hemimorphite, sphalerite, sphalerite and smithsonite i , that is, the distribution of zinc metal in zinc concentrate is obtained; Zn i =M i '×L×Zn i '×K, where K is the second correction coefficient; K is calculated by taking p hemimorphite samples obtained in step S3 and analyzing them to obtain the zinc grade Zn 品位1 、Zn 品位2 、...、Zn 品位p , then by the formula K=(∑Zn 品位p ) / (n×M A '×L×Zn A ') K is calculated, 2≤p≤20.

2. The method for determining the zinc mineral content and the metal distribution characteristics of zinc in the copper-zinc-iron skarn-type ore associated with gold and silver according to claim 1, characterized in that: The zinc concentrate contains at least two of hemimorphite, sphalerite, sphalerite and smithsonite; i=A, B, C, D refer to hemimorphite, sphalerite, sphalerite and smithsonite respectively.

3. The method for determining the zinc mineral content and the metal distribution characteristics of zinc in copper-zinc-iron skarn-type ores associated with gold and silver according to claim 1, characterized in that: In step S5, the zinc concentrate is treated by nitric acid to obtain hemimorphite, hydrochloric acid to obtain sphalerite, hydrochloric acid to obtain ferrosphalerite, and manual gravity separation to obtain smithsonite.

4. The method for determining the zinc mineral content and the metal distribution characteristics of zinc in copper-zinc-iron skarn-type ores associated with gold and silver according to claim 1, characterized in that: In step S3, the parameters of the automatic mineral analyzer are set to a beam spot size of 300 kps, a grayscale value of 21, a brightness of 79, and a measured mineral grayscale value of 18-30.

5. The method for determining the zinc mineral content and the metal distribution characteristics of zinc in copper-zinc-iron skarn-type ores associated with gold and silver according to claim 1, characterized in that: In step S1, the process of crushing and fine grinding the sample to be tested is as follows: first, the sample to be tested is crushed to an ore particle size of less than 2 mm, then the crushed ore is screened, and the ore with a particle size greater than 200 mesh is further finely ground, then mixed and re-screened, and the fine grinding-screening steps are repeated until the ore with a particle size less than 200 mesh accounts for 80% or more of the total ore weight.

6. The method for determining the zinc mineral content and the metal distribution characteristics of zinc in copper-zinc-iron skarn-type ores associated with gold and silver according to claim 1, characterized in that: In step S2, the specific method of obtaining zinc concentrate by flotation is to firstly float out copper concentrate through a first-stage roughing and a second-stage cleaning to obtain tailings, and then the tailings are subjected to two-stage copper scavenging and then sent to a flotation device to float out zinc concentrate.

Images