A method for preparing collophanite reverse flotation demagnetizing raw ore

Abstract

The application discloses a collophanite reverse flotation magnesium removal raw ore blending method and relates to the technical field of collophanite flotation ore blending. Based on the process mineralogy properties, mineral enrichment rules and concentrate quality of different types of collophanite, the mathematical model is constructed by taking the concentrate P2O5 grade and MER value as dependent variables and the raw ore P2O5, MgO, Fe2O3 and Al2O3 grades as independent variables, so as to output the raw ore blending scheme. The concentrate grade simulation accuracy of the model reaches 99%, and the concentrate MER value simulation accuracy reaches more than 94%. The application can obviously improve the raw ore blending accuracy, improve the operation stability of a concentrator, guarantee the concentrate product quality and has high application characteristics.

Description

Technical Field

[0001] This invention relates to the field of flotation and blending technology for collophane, specifically to a method for blending raw collophane ore for magnesium removal via reverse flotation. Background Technology

[0002] During the mining process, ore grades vary across different mining areas, different ore layers within the same mining area, and different regions within the same ore layer. Typically, a first-stage blending process is required after ore extraction. The concentrator performs a second-stage blending process based on the properties of the ore in the raw ore stockpile and the newly arrived ore to ensure the stability of the quality of the raw ore output from the mine, as well as the stability of the raw ore and concentrate quality in the concentrator. Previously, concentrator blending relied heavily on the experience of engineers, which introduced a degree of subjectivity and often resulted in fluctuations in the quality of the raw ore and concentrate, particularly in the reverse flotation demagnesification process for collophane. Collophane is classified into various types based on its composition, with mixed and carbonate types being more common in Yunnan. The main gangue mineral in this type of ore is dolomite. Reverse flotation, involving a roughing, cleaning, and scavenging process, can effectively remove dolomite, achieving phosphorus enrichment and yielding a concentrate. However, due to the complex composition of this type of ore, it is difficult to control the quality of the raw ore by relying on the experience of technicians to blend the ore, which ultimately leads to large fluctuations in the grade of the concentrate. Therefore, it is urgent to develop a reasonable raw ore blending scheme to improve the stability of the grade of the flotation concentrate. Summary of the Invention

[0003] The purpose of this invention is to provide a method for blending raw ore for magnesium removal by reverse flotation of collophane, which solves the problem of large fluctuations in the grade of collophane concentrate caused by relying on manual experience in ore blending.

[0004] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: a method for blending raw ore for magnesium removal by reverse flotation of collophane, characterized by comprising the following steps:

[0005] S1. Collection Receipt: According to the type of raw ore, obtain the grade of P2O5, MgO, Fe2O3 and Al2O3 in each raw ore;

[0006] S2. Based on the ore blending mathematical model, output the raw ore blending scheme after calculation;

[0007] The mathematical model for ore blending is as follows:

[0008] β(P2O5)=M1(P2O5)X1+M2(P2O5)X2+……M n (P2O5)X n +(M1(MgO)X1+M2(MgO)X2+……+M n (MgO)X n -0.9%*f≥28%;

[0009] βMER =((M1(Fe2O) 3+ Al2O3)X1+M2(Fe2O 3+ Al2O3)X2+……M n (Fe2O 3+ Al2O3)X n )*1.08+0.9%) / β(P2O5)≤0.12;

[0010] Wherein: β(P2O5): P2O5 grade of concentrate; β MER MER value of concentrate, its actual value = (Fe2O3 grade of concentrate + Al2O3 grade of concentrate + MgO grade of concentrate) / P2O5 grade of concentrate; M1(P2O5), M2(P2O5) 5) ...M n (P2O5) represents the P2O5 grade in the first to nth types of raw ore; M1(MgO), M2(MgO), ... M n (MgO) represents the MgO grade in the first to nth types of raw ore, with 0.9% being the highest permissible MgO grade in the concentrate; M1(Fe2O) 3+ Al2O3), M2(Fe2O) 3+ Al2O3), ... M n (Fe2O 3+ Al2O3) is the sum of the grades of Fe2O3 and Al2O3 in the first to nth types of raw ore; X1, X2, ... X n denoted as the mass percentage of the first to nth types of raw ore; f is the demagnesification and phosphorus grade improvement coefficient, which is a value in the range of 1.4 to 1.6.

[0011] A further technical solution is to use the ore blending mathematical model in the reverse flotation demagnesification process of collophane ore for raw ore blending.

[0012] Compared with existing technologies, the beneficial effects of this invention are as follows: Based on the mineralogical properties, mineral enrichment patterns, and concentrate quality of different types of phosphate rock, and aiming to meet the concentrate grade requirements of reverse flotation demagnesification, this invention constructs a precise synergistic homogenization mathematical model for phosphorus, magnesium, iron, and aluminum using the grades of P2O5, MgO, Fe2O3, and Al2O3 in the raw ore as independent variables and the P2O5 grade and MER value in the concentrate as dependent variables. This model outputs a raw ore blending scheme, achieving a concentrate grade simulation accuracy of 99% and a concentrate MER value simulation accuracy of over 94%. This invention can significantly improve the accuracy of raw ore blending, enhance the operational stability of the beneficiation plant, and ensure the quality of concentrate products, demonstrating high application potential. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0014] Example 1

[0015] For several types of carbonate-type and mixed-type collophane ores with relatively high beneficiation difficulty (raw ore grades are shown in Table 1), the ore blending was carried out according to the model of this invention, with an f value of 1.4 selected. The simulated and actual values ​​of concentrate P2O5 grade and MER value are shown in Table 2.

[0016] Table 1. Multi-element analysis (%) of different types of collophane ore and raw ore after blending

[0017] raw ore P2O5 MgO Fe2O3 Al2O3 SiO2 M1 (carbonate type collophanite) 22.31 6.39 0.6 0.71 10.34 M2 (mixed type collophanite) 19.84 3.69 1.36 2.17 26.98 M3 (mixed type collophanite) 18.7 2.19 1.71 2.91 35.72 [M1:M2 = 7.5:2.5 (mass ratio)] 21.69 5.72 0.79 1.08 14.50 [M1:M2:M3 = 7.5:2:0.5 (mass ratio)] 21.64 5.64 0.81 1.11 14.94

[0018] Table 2 Application Effects of Ore Blending Model

[0019] Homogenization ratio (mass ratio) actual beta (P2O5) [CATALYZING BETA (P205)] beta (P2O5) difference actual beta MER ]]> Calculating β MER ]]> beta MER difference [M1:M2 = 7.5:2.5] 28.26 28.43 -0.170 0.102 0.100 0.002 [M1:M2:M3 = 7.5:2:0.5] 28.38 28.27 -0.110 0.111 0.105 0.006

[0020] As can be seen from Tables 1 and 2, when the two ores are blended according to the model of this invention, the simulated values ​​of P2O5 grade and MER value of the concentrate are close to the actual values, indicating that the constructed model has good practicality.

[0021] Example 2

[0022] For two types of medium-difficulty carbonate-type collophane and mixed-type collophane (raw ore grades are shown in Table 3), the ore blending was carried out according to the model of this invention, with an f value of 1.5 selected. The simulated and actual values ​​of concentrate P2O5 grade and MER value are shown in Table 4.

[0023] Table 3. Multi-element analysis (%) of different types of collophane and blended raw ore.

[0024] raw ore P2O5 MgO Fe2O3 Al2O3 SiO2 [M1 (carbonate type collophanite)] 23.96 6.12 0.52 0.81 11.34 M2 (mixed type collophanite) 18.7 2.19 1.71 2.91 35.72 M1:M2 = 7:3 (Mixed type phosphate rock) 22.38 4.94 0.88 1.44 18.65

[0025] Table 4 Application Effects of Ore Blending Model

[0026] Homogenization ratio (mass ratio) actual beta (P2O5) [Calculate β (P2O5)] beta (P2O5) difference actual beta MER ]]> Calculating β MER ]] beta MER difference [M1:M2 = 7:3] 28.52 28.44 +0.08 0.118 0.120 -0.002

[0027] As can be seen from Tables 3 and 4, when two ores with medium beneficiation difficulty were blended according to the model of this invention, the simulated values ​​of P2O5 grade and MER value of the resulting concentrate were close to the actual values, indicating that the constructed model has good practicality.

[0028] Example 3

[0029] For two easily selectable carbonate-type collophane and mixed-type collophane (raw ore grades are shown in Table 5), the ore blending was carried out according to the model of this invention, with an f value of 1.6 selected. The simulated and actual values ​​of concentrate P2O5 grade and MER value are shown in Table 6.

[0030] Table 5. Multi-element analysis (%) of different types of collophane ore and raw ore after blending

[0031] raw ore [P2O5] MgO Fe2O3 Al2O3 SiO2 [M1 (carbonate type collophanite)] 22.96 6.12 0.52 0.81 13.34 M2 (low grade weathered ore) 17.12 2.67 1.18 1.76 37.72 M1:M2 = 7.5:2.5 (mass ratio) 21.50 5.26 0.69 1.05 19.44

[0032] Table 6 Application Effects of Ore Blending Model

[0033] Homogenization ratio (mass ratio) actual beta (P2O5) [Calculate β (P2O5)] [CATALOGUE] difference in β (P2O5) actual beta MER ]]> Calculating β MER ]]> <![CDATA[β MER Difference <![CDATA[M1:M2=8:2]]> 28.66 28.47 +0.19 0.104 0.098 0.006

[0034] As can be seen from Tables 5 and 6, when the two easily beneficiated ores were blended according to the model of this invention, the simulated values ​​of P2O5 grade and MER value of the resulting concentrate were close to the actual values, indicating that the constructed model has good practicality.

[0035] Although the invention has been described herein with reference to several illustrative embodiments, it should be understood that many other modifications and implementations can be devised by those skilled in the art, which will fall within the scope of this disclosure. More specifically, various modifications and improvements can be made to the components or layouts within the scope of this disclosure and the claims. Besides modifications and improvements to the components or layouts, other uses will be apparent to those skilled in the art.

Claims

1. A method for blending raw ore for magnesium removal by reverse flotation of phosphate rock, characterized in that... Includes the following steps: S1. Collection Receipt: According to the type of raw ore, obtain the grade of P2O5, MgO, Fe2O3 and Al2O3 in each raw ore; S2. Based on the ore blending mathematical model, output the raw ore blending scheme after calculation; The mathematical model for ore blending is as follows: β(P2O5)=M1(P2O5)X1+M2(P2O5)X2+……M n (P2O5)X n +(M1(MgO)X1+M2(MgO)X2+……+M n (MgO)X n -0.9%)*f≥28%; β MER (M1(Fe2O) 3+ Al2O3)X1+M2(Fe2O 3+ Al2O3)X2+……M n (Fe2O 3+ Al2O3)X n )*1.08+0.9%) / β(P2O5)≤0.12; Wherein: β(P2O5): P2O5 grade of concentrate; β MER MER value of concentrate, its actual value = (Fe2O3 grade of concentrate + Al2O3 grade of concentrate + MgO grade of concentrate) / P2O5 grade of concentrate; M1(P2O5), M2(P2O5) 5) ...M n (P2O5) represents the P2O5 grade in the first to nth types of raw ore; M1(MgO), M2(MgO), ... M n (MgO) represents the MgO grade in the first to nth types of raw ore, with 0.9% being the highest permissible MgO grade in the concentrate; M1(Fe2O) 3+ Al2O3), M2(Fe2O) 3+ Al2O3), ... M n (Fe2O 3+ Al2O3) is the sum of the grades of Fe2O3 and Al2O3 in the first to nth types of raw ore; X1, X2, ... X n denoted as the mass percentage of the first to nth types of raw ore; f is the demagnesification and phosphorus grade improvement coefficient, which is a value in the range of 1.4 to 1.

6.

2. The method for blending raw phosphate rock through reverse flotation demagnesification according to claim 1, characterized in that: The ore blending mathematical model is used for raw ore blending in the reverse flotation demagnesification process of collophane.