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

Abstract

The invention provides a method for measuring the zinc mineral content and the zinc metal distribution characteristic in copper-zinc-iron skarn ore associated with gold and silver, and belongs to the technical field of process mineralogy. A to-be-measured sample is subjected to crushing, fine grinding and flotation to obtain zinc concentrate, the type and the relative content Mi'of the zinc mineral are obtained through MLA testing, a first correction coefficient L is introduced, and the relative content Mi 'of the copper-zinc-iron skarn ore associated with gold and silver is obtained; and calculating to obtain the actual relative content Mi of the zinc mineral. Then, the zinc concentrate is treated to obtain calamine, sphalerite, marmatite and smithsonite respectively, MLA polished sections are prepared respectively, a scanning electron microscope is adopted for analysis and calculation to obtain the zinc content Zn ', a second correction coefficient K is introduced, and the distribution amount Zn of zinc in the zinc concentrate in the calamine, the sphalerite, the marmatite and the smithsonite is calculated, the zinc metal distribution in the zinc concentrate is obtained. By introducing the correction coefficients L and K, the accuracy of testing the zinc mineral relative content and the zinc metal distribution characteristic is improved, selection of the process in mineral separation is facilitated, and waste of zinc resources in smelting is reduced.

Description

Technical Field

[0001] The 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] Metallic zinc is an important industrial material with good calendering, wear resistance and corrosion resistance. It can not only be made into alloys with various metals, but also can be treated with zinc on the surface of materials that need to be protected by hot-dip galvanizing, electroplating, coating galvanizing, etc. to play an anti-corrosion role. It plays an important role in metallurgy, chemical industry, electronics, agriculture and other fields. With the continuous development of technology, zinc is still being tried in new fields. 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 metals in ores, especially to develop more efficient, accurate and reasonable detection methods to assist the smelting and recycling of zinc minerals.

[0003] 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 are also different. The methods in the prior art are difficult to accurately determine the actual relative content of different zinc minerals in the ore and the actual zinc metal distribution characteristics. It is impossible to select the most suitable mineral processing process according to the type of zinc mineral and the distribution of zinc metal, resulting in a waste of zinc resources in smelting. The error of zinc metal determination in the prior art is mainly related to the mineral paragenesis and the impurities present in the minerals. The same mineral may differ in crystallinity, particle size, color, transparency, internal structure and crystal form of the mineral, and trace chemical components. The mutual influence between different crystal structures and the slight difference in chemical composition during the test will interfere with the test.

[0004] In view of this, it is necessary to design 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, so as to solve the technical problem that the detection results of the relative content of different zinc minerals and the distribution characteristics of zinc metal 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 application 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: 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 by an automatic mineral analyzer (MLA) i '; 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 Zn i , that is, the distribution of zinc metal in zinc concentrate is obtained.

[0007] 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.

[0008] 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 、Fe-Sphalerite M Cn 、Schneitzite M Dn Then, the four samples were uniformly mixed to obtain a mixed sample, and the relative content M of zinc minerals in the mixed sample was obtained by MLA test. in ', respectively, hemimorphite M An '、Sphalerite M Bn '、Fe-Sphalerite M Cn '、Schneitzite 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 calculate L n.

[0009] 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.

[0010] 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.

[0011] 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.

[0012] Further, in step S6, Zn i =M i '×L×Zn i '×K, where K is the second correction coefficient.

[0013] Further, the calculation method of K is to take p hemimorphite samples obtained in step S3 and assay them to obtain the zinc grade Zn 品位1 、Zn 品位2 、...、Zn 品位p , and then through the formula K = (∑ Zn 品位p ) / (n×M A '×L×Zn A ') K is calculated, 2≤p≤20.

[0014] Furthermore, in step S1, 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.

[0015] Furthermore, in step S2, the specific method of flotation to obtain zinc concentrate 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.

[0016] The beneficial effects of this application are as follows: 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 type of zinc mineral and the relative content M are obtained by MLA test. i ', introduce the first correction coefficient L, calculate the actual relative content of zinc minerals M iThen, the zinc concentrate was processed to obtain hemimorphite, sphalerite, sphalerite and smithsonite, and MLA optical slices were prepared respectively. The zinc content Zn was calculated by scanning electron microscopy. i ', introduce the second correction coefficient K, and 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.

[0017] (1) The present 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 samples 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 calculates the first correction coefficient L to eliminate the influence of paragenetic minerals as much as possible, correct the test results and reduce errors.

[0018] (2) The present 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 , and then through the formula K = (∑ Zn 品位p ) / (n×M A '×L×Zn A ') K is calculated. Hemimorphite is a silicate mineral. It can be treated with nitric acid to obtain high-purity hemimorphite. The zinc grade obtained by testing hemimorphite samples is more accurate and representative. Correcting the zinc content using the zinc grade of hemimorphite samples can further reduce the test errors caused by paragenetic minerals and impurities.

[0019] 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

[0020] The following is a detailed description of the embodiments of the technical solution of the present application. 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.

[0021] 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 description and claims of this application and any variations thereof are intended to cover non-exclusive inclusions.

[0022] 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.

[0023] 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.

[0024] In the description of the embodiments of the present application, the term "and / or" is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0025] 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).

[0026] 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 are also different. The methods in the existing technology are difficult to accurately determine the actual relative content of different zinc minerals in the ore and the actual zinc metal distribution characteristics. It is impossible to select the most suitable mineral processing process according to the type of zinc mineral and zinc metal distribution, resulting in a waste of zinc resources in smelting.

[0027] In order to solve the technical problem that the detection results of the relative content of different zinc minerals and the distribution characteristics of zinc metal in the ore are not accurate enough, 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, wherein the test accuracy of the relative content of zinc minerals is improved by introducing a first correction coefficient L, and the test accuracy of the zinc metal content is improved by introducing a second correction coefficient K. The correction coefficients provided in the present application can eliminate the influence of paragenetic minerals as much as possible, correct the test results, reduce the test errors caused by paragenetic minerals and impurities, and finally obtain a more accurate zinc metal distribution.

[0028] The present application embodiment 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: S1, take the sample to be tested, crush and finely grind it.

[0029] 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.

[0030] S2, flotation of the ore obtained by crushing and fine grinding in step S1 to obtain zinc concentrate.

[0031] The specific method of obtaining zinc concentrate by flotation is to firstly float out the copper concentrate through a roughing stage and a fine cleaning stage to obtain tailings, and then send the tailings to the flotation equipment for floatation of zinc concentrate after two-stage copper scavenging.

[0032] S3, taking a sample from the zinc concentrate obtained in step S1, and testing the type and relative content of zinc minerals by 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 M B ', the relative content of sphalerite is M C ', the relative content of smithsonite is M D '.

[0033] 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.

[0034] Where L = 1 / n × ∑L n =(L 1 +L 2 +L 3 +...+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 to obtain the relative content M of zinc minerals in the four samples. in , respectively, hemimorphite M An 、Sphalerite M Bn 、Fe-Sphalerite M Cn 、Schneitzite 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 uniformly mixed to obtain a mixed sample, and the relative content M of zinc minerals in the mixed sample was obtained by MLA test. in ', respectively, hemimorphite M An '、Sphalerite M Bn '、Fe sphalerite M Cn '、Schneitzite 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 '<100,L n=(M An / M An '+M Bn / M Bn '+M Cn / M Cn '+M Dn / M Dn ') / 16.

[0035] That is L 1 =(M A1 / M A1 '+M B1 / M B1 '+M C1 / M C1 '+M D1 / M D1 ') / 16; L 2 =(M A2 / M A2 '+M B2 / M B2 '+M C2 / M C2 '+M D2 / M D2 ') / 16; L 3 =(M A3 / M A3 '+M B3 / M B3 '+M C3 / M C3 '+M D3 / M D3 ') / 16; ...and so on.

[0036] S5, the zinc concentrate obtained in step S1 is processed to obtain hemimorphite, sphalerite, sphalerite and smithsonite, and MLA optical slices are prepared. A scanning electron microscope is used to select multiple points for analyzing the zinc content and calculating the average value Zn i Preferably, the number of analysis points selected by the scanning electron microscope is 2-10.

[0037] The treatment method of the zinc concentrate in step S3 includes treating with nitric acid to obtain hemimorphite, treating with hydrochloric acid to obtain sphalerite and sphalerite, and artificially reselecting to obtain smithsonite. Among them, 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 sphalerite is to treat the zinc concentrate with 28-32% hydrochloric acid at 60-80°C for 2-3h to obtain a mixture of sphalerite and sphalerite, and then separate the two by magnetic separation (speckle is magnetic, sphalerite is non-magnetic).

[0038] S6, introduce the second correction coefficient K, 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.

[0039] Specifically, the calculation method of K is to take p hemimorphite samples obtained in step S3 and test 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.

[0040] The zinc mineral content and zinc metal distribution characteristics calculated in this application are shown in the following table: 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.

[0041] Example 1 Example 1 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: S1, take the sample to be tested (copper-zinc-iron skarn ore with associated gold and silver from a mining company, with a sample grade of Au0.33g / t, Ag59.20g / t, Cu0.815%, Zn5.65%, Fe28.94%), process the sample to be tested by jaw crushing until the ore particle size is less than 2mm, then sieve the crushed ore, take the ore with a particle size greater than 0.074mm for further fine grinding, then mix and re-sieve, repeat the fine grinding-screening steps until the ore with a particle size less than 0.074mm accounts for 80% of the total ore weight.

[0042] S2, flotation of the ore crushed and finely ground in step S1 to obtain zinc concentrate. First, copper concentrate is preferentially floated out through a first-stage roughing and a second-stage concentrating to obtain tailings, and then the tailings are subjected to two-stage copper scavenging and sent to a flotation device to float out zinc concentrate.

[0043] S3, taking a sample from the zinc concentrate obtained in step S1, and testing the type and relative content of zinc minerals by an automatic mineral analyzer (MLA) i ', MLA parameters are set as beam size 300kps, gray value 21, brightness 79, the gray value of the measured mineral 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%).

[0044] 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 uniformly 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 =(L 1 +L 2 +L 3 +...+L n ) / n to calculate the first correction coefficient L is 0.89, and L is introduced into the formula M i =M i '×L Calculate the actual relative content of zinc minerals M i It is: hemimorphite 0.41%, sphalerite 2.41%, sphalerite 6.31%, and smithsonite 0.18%.

[0045] Table 1 Calculation data of the first correction coefficient L 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 sphalerite, and artificially 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 sphalerite and sphalerite, and then separate the two by magnetic separation. MLA optical slices were prepared with hemimorphite, sphalerite, sphalerite, 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%, and the SEM energy spectrum component analysis data can be found in Table 2-4.

[0046] Table 2 SEM energy spectrum analysis data of hemimorphite Table 3 SEM energy spectrum composition analysis data of sphalerite and marmatite Table 4 SEM energy spectrum analysis data of smithsonite Since the C content in minerals cannot be quantified by scanning electron microscopy, the average zinc content of smithsonite obtained in Table 4 needs to be calculated based on the molecular formula ZnCO 3 The mass fraction of C in the ore was further corrected, and the zinc content of smithsonite was calculated to be 52.62%.

[0047] 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 factor into the zinc metal distribution Zn in the zinc concentrate iIn the calculation, the distribution of zinc in hemimorphite is 0.20%, the distribution in sphalerite is 1.53%, the distribution in marmatite is 3.58%, and the distribution in smithsonite is 0.09%.

[0048] The zinc mineral content and zinc metal distribution characteristics obtained by testing in Example 1 are shown in Table 5.

[0049] Table 5 Zinc mineral content and zinc metal distribution characteristics Example 2 The difference between Example 2 and Example 1 is that in step S1, the sample to be tested is a mine sample, the sample grade is Au1.16g / t, Ag42.50g / t, Cu0.67%, Zn6.11%, Fe3.18%, the test method and test 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 the test in Example 2 are shown in Table 6 (L=0.86, K=1.04).

[0050] Table 6 Zinc mineral content and zinc metal distribution characteristics Example 3 The difference between Example 3 and Example 1 is that in step S1, the sample to be tested is a mine sample in Tibet, and the sample grade is Au0.13g / t, Ag38.60g / t, Cu2.55%, Zn7.21%, Fe6.72%. The test method and test steps are the same as those in Example 1, which will not be repeated here. The zinc mineral content and metal distribution characteristics of zinc obtained by the test in Example 3 are shown in Table 7 (L=0.86, K=1.04).

[0051] Table 7 Zinc mineral content and zinc metal distribution characteristics Example 4 The difference between Example 4 and Example 1 is that in step S1, the sample to be tested is a mine sample in Liaoning Province, and the sample grade is Au0.09g / t, Ag56.66g / t, Cu3.10%, Zn6.86%, Fe10.23%. The test method and test steps are the same as those in Example 1, which will not be repeated here. The zinc mineral content and metal distribution characteristics of zinc obtained by the test in Example 4 are shown in Table 8 (L=0.86, K=1.04).

[0052] Table 8 Zinc mineral content and zinc metal distribution characteristics Example 5 The difference between Example 5 and Example 1 is that in step S1, the sample to be tested is a mine sample in Tibet, and the sample grade is Au0.16g / t, Ag44.36g / t, Cu2.80%, Zn5.16%, Fe8.41%. The test method and test steps are the same as those in Example 1, which will not be repeated here. The zinc mineral content and metal distribution characteristics of zinc obtained by the test in Example 5 are shown in Table 9.

[0053] Table 9 Zinc mineral content and zinc metal distribution characteristics Example 6 The difference between Example 6 and Example 1 is that in step S4, 8 sets of data are used to calculate the first correction coefficient L, that is, n=8, as shown in Table 10, and L is calculated to be 0.88. The other steps are the same as those in Example 1 and are not described in detail 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.

[0054] Table 10 Calculation data of the first correction coefficient L Table 11 Zinc mineral content and zinc metal distribution characteristics Example 7 The difference between Example 7 and Example 1 is that in step S4, 10 sets of data are used to calculate the first correction coefficient L, that is, n=10, as shown in Table 12, and L is calculated to be 0.89. The other steps are the same as those 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 will not be repeated here.

[0055] Table 12 Calculation data of the first correction coefficient L Generally, the larger n is, the higher the data accuracy is, but when n is large enough, its influence on data accuracy is no longer significant. The values ​​of the first correction coefficient L obtained in Example 1 and Examples 6-7 are very close. It can be inferred that when n is greater than 10, its influence on the first correction coefficient L is already very small and can be ignored. From the perspective of saving test 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.

[0056] In summary, the present 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. The test accuracy of the relative content of zinc minerals is improved by introducing the first correction coefficient L, and the test accuracy of the zinc metal content is improved by introducing the second correction coefficient K, and finally a more accurate zinc metal distribution is obtained.

[0057] 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 determining the zinc mineral content and the metal distribution characteristics of zinc in a copper-zinc-iron skarn ore 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 '; 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 Zn i , that is, the distribution of zinc metal in zinc concentrate is obtained.

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: 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.

3. 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 2, characterized in that: 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 、Fe-Sphalerite M Cn 、Schneitzite M Dn Then, the four samples were uniformly mixed to obtain a mixed sample, and the relative content M of zinc minerals in the mixed sample was obtained by MLA test. in ', respectively, hemimorphite M An '、Sphalerite M Bn '、Fe sphalerite M Cn '、Schneitzite 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 calculate L n .

4. 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.

5. 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: 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.

6. 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: In step S3, the parameters of the automatic mineral analyzer are set to beam spot size 300 kps, gray value 21, brightness 79, and the gray value of the measured mineral is 18-30.

7. 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: In step S6, Zn i =M i '×L×Zn i '×K, where K is the second correction coefficient.

8. 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 7, characterized in that: The calculation method of K is to take p hemimorphite samples obtained in step S3 and test them to obtain the zinc grade Zn 品位1 、Zn 品位2 、...、Zn 品位p , and then through the formula K = (∑Zn 品位p ) / (n×M A '×L×Zn A ') K is calculated, 2≤p≤20.

9. 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: In step S1, 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.

10. 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: In step S2, the specific method of flotation to obtain zinc concentrate 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 stages of copper scavenging and then sent to a flotation device to float out zinc concentrate.

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