CN113607611A - Coupling evaluation method for mixing uniformity of powder material - Google Patents

Coupling evaluation method for mixing uniformity of powder material Download PDF

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CN113607611A
CN113607611A CN202110776101.8A CN202110776101A CN113607611A CN 113607611 A CN113607611 A CN 113607611A CN 202110776101 A CN202110776101 A CN 202110776101A CN 113607611 A CN113607611 A CN 113607611A
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coefficient
density
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甘万贵
徐先锋
龚伟
王念
周晟明
余益鸣
陈少聪
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Baowu Huanke Wuhan Metal Resources Co ltd
Hubei Polytechnic University
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Hubei Polytechnic University
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Abstract

The invention discloses a coupling evaluation method for the mixing uniformity of powder materials, which comprises the following steps: performing grid division sampling on a powder material to be detected to obtain N sample numbers; selecting 2-4 factors of water content value, pH value, density and granularity, and respectively measuring each sample; the corresponding water content variation coefficient is obtained by processing N groups of measurement data of the selected factors
Figure DDA0003155367980000011
Coefficient of variation of pH value CVpHCoefficient of variation of density CVMCoefficient of variation of particle size CVn(ii) a The variation coefficient of all the selected factors is within the range of less than or equal to 5 percent, and the mixture is determined to be uniformly mixed. The invention selects 2-4 factors of water content value, pH value, density and granularity for coupling evaluation, and the mixture is uniformly mixed when the CV values of the variation coefficients of the selected factors are all in the range of 5%. Compared with a single variation coefficient mixing degree judgment mode, the method has the advantages that multiple variation coefficients are coupledThe method for judging the degree of mixing is more reliable, and the degree of mixing of the mixed materials can be more truly reflected.

Description

Coupling evaluation method for mixing uniformity of powder material
Technical Field
The invention belongs to the technical field of materials, and particularly relates to a coupling evaluation method for the mixing uniformity of powder materials.
Background
The mixing of powder materials is a common process in industrial production and has very wide application in the fields of chemical industry, pharmacy, food, construction and the like. The powder material mixing refers to the operation process that powder particles with various different components are randomly and uniformly distributed in a mixer due to the change of the movement speed or direction of the powder particles in the mixer. The quality of the mixing effect directly determines the quality of the product, so that the high-efficiency mixing of the powder materials is very important. Because the movement of the powder is very complex in the mixing process, how to accurately and efficiently evaluate the mixing effect of the materials becomes a hotspot and a difficulty of research.
In the iron and steel smelting process, the sintering process is that various powdered iron-containing raw materials are mixed with proper amount of fuel and flux, proper amount of water is added, after mixing and pelletizing, the materials are subjected to a series of physical and chemical changes on sintering equipment, and the mineral powder particles are bonded into blocks. Generally speaking, the quality of the raw material mixing effect directly influences the quality of the sintered ore product. Because the granularity of the sintering raw material is small, the components are complex, the proportion of partial raw materials is low, and the method of electron microscopy, element content determination and the like is not suitable for evaluating the mixing degree, a corresponding rapid evaluation method of the mixing degree is lacked. The sintering precursor is used as one of sintering raw materials, the source of the sintering precursor is iron ore and the like, the components are complex, the particle sizes are different, and the moisture content is different, so that a blending degree evaluation method matched with the material characteristics is needed.
The performance factors of the powder material mainly comprise: composition, density, particle size, ph, moisture value, and the like. Wherein, the accurate measurement of the components generally adopts a titration method, and the measurement is difficult; the measurement of components such as energy spectrum, XRD and the like is a semi-quantitative method, the accuracy is not high, and the practical significance is not great.
Disclosure of Invention
The invention aims to provide a method for accurately judging the mixing uniformity of powder materials, which adopts density, granularity, pH value and moisture value as measuring factors to judge the variation coefficient of the mixed powder materials to be detected in multiple angles and evaluates the mixing uniformity of the powder materials by a coupling measuring method.
In order to achieve the purpose, the technical scheme is as follows:
a coupling evaluation method for mixing uniformity of powder materials comprises the following steps:
(1) performing grid division sampling on a powder material to be detected to obtain N sample numbers;
(2) selecting 2-4 factors of water content value, pH value, density and granularity, and respectively measuring each sample;
(3) the corresponding water content variation coefficient is obtained by processing N groups of measurement data of the selected factors
Figure BDA0003155367970000011
Coefficient of variation of pH value CVpHCoefficient of variation of density CVMCoefficient of variation of particle size CVn
(4) The variation coefficient of all the selected factors is within the range of less than or equal to 5 percent, and the mixture is determined to be uniformly mixed.
According to the scheme, the powder material is an ironmaking sintering mixture, a cement raw material mixture, a ceramic raw material mixture, a refractory material mixture and other similar multiphase mixtures.
According to the scheme, the water content value variation coefficient
Figure BDA0003155367970000021
Obtained in the following way:
(1) initial net weight of the sampled sample is W1The weight of the dried sample is W2And measuring the moisture value of the sample as follows:
Figure BDA0003155367970000022
(2) the water content values of the N samples respectively measured are respectively X1,X2,X3…XN
(3) The average moisture content was:
Figure BDA0003155367970000023
(4) the standard deviation of the moisture content was:
Figure BDA0003155367970000024
(5) coefficient of variation of the moisture value
Figure BDA0003155367970000025
Figure BDA0003155367970000026
According to the scheme, the pH value variation coefficient CVpHThe following is obtained:
1) the pH values of the N samples are respectively measured to be pH1,pH2,pH3,…,pHN
2) The average pH values were:
Figure BDA0003155367970000027
3) standard deviation of pH:
Figure BDA0003155367970000028
4) the coefficient of variation of pH value CVpH
Figure BDA0003155367970000029
According to the scheme, the density variation coefficient CVMThe following is obtained:
(1) the density values of the N samples are respectively M1,M2,M3…MN
(2) The average of the densities was:
Figure BDA0003155367970000031
(3) the standard deviation of the density values is:
Figure BDA0003155367970000032
(4) coefficient of variation of density CVM
Figure BDA0003155367970000033
According to the scheme, the coefficient of variation CV of the granularitynThe following is obtained:
(1) the obtained N samples are measured to have particle size values of N respectively1,n2,n3…nN
(2) The average of the particle sizes of the N samples is then:
Figure BDA0003155367970000034
(3) the standard deviation of the particle size values was:
Figure BDA0003155367970000035
(4) the coefficient of variation of particle size CVn
Figure BDA0003155367970000036
According to the scheme, the moisture value is measured by using a powder moisture tester. After the power supply is switched on for preheating, taking a proper amount of sample and putting the sample into a sample tray; covering a heating chamber cover, and pressing a start key; the powder moisture tester automatically dries and heats, after a few minutes, the tester sounds an alarm to indicate that heating is finished, the screen directly displays the moisture value, and data is recorded.
According to the scheme, the method for measuring the pH value comprises the following steps:
the sample was made into a 5% suspension, stirred well to wet it completely, dispersed in water and then measured at ambient temperature using pH meter readings.
According to the scheme, the density measuring method comprises the following steps:
the method for measuring the tap density of the metal powder in GB/T21354-2008 or the method for measuring the apparent density of the metal powder in GB/T1479.1-2011 is adopted.
According to the scheme, the particle size determination method comprises the following steps:
and selecting a sieving method, a sedimentation method, a laser method or a microscopic method according to the characteristics of the powder material to be detected. The screen analysis method is used for measuring the granularity of the material of 0.038-250 mm, and the measuring range of the standard screen set in the laboratory is 0.038-6 mm; the microscopic method can measure the projection area of the particles one by one to determine the particle size of the particles, the range of the optical microscope measurement is 0.4-150 μm, and the lower limit particle size of the electron microscope measurement can reach 0.001 μm or less. Commonly used particle size analyzers include laser particle size analyzers, ultrasonic particle size analyzers, extinction method optical sedimentometers, X-ray sedimentometers, and the like. The method and the instrument for measuring the granularity value are selected according to actual conditions.
The particle size is a geometric parameter used for representing the size of powder particles, the definition and the representation method of the particle size are different due to different shapes, sizes and compositions of the particles, and are closely related to the forming process, the testing method and the industrial application of the particles, and the particle size can be accurately measured by adopting modern microscopic equipment and configured particle size analysis software. The density measurement can adopt bulk density, tap density, loose packed density and the like, and can be accurately measured. The pH value, the water content value and the like can be accurately measured. The invention adopts density, granularity, pH value and moisture value as measuring factors and evaluates the mixing uniformity of the powder material by a coupling measurement method.
The invention uses the coefficient of variation of the water content value
Figure BDA0003155367970000041
Coefficient of variation CV of density (tap density or loose density)MCoefficient of variation of pH value CVpHAnd coefficient of variation of particle size CVnAs the judgment basis of the uniformity of the powder material, the measurement method is simple and easy. The problem that in the prior art, judgment errors or measurement inaccuracy exists due to measurement singleness is solved.
In order to accurately judge the uniformity of the powder material, 2-4 factors of moisture value, pH value, density and granularity are selected for coupling evaluation so as to judge the uniformity of the powder material. And if the CV values of the variation coefficients of all the selected factors are within the range of less than or equal to 5%, determining that the mixture is uniformly mixed. Compared with a single variation coefficient mixing degree judging mode, the method for judging the mixing degree by coupling multiple variation coefficients is more reliable and can reflect the mixing degree of the mixed materials more truly.
Detailed Description
The following examples further illustrate the technical solutions of the present invention, but should not be construed as limiting the scope of the present invention.
Because the sintering precursor is only premixed and homogenized, and is further homogenized with materials such as iron ore concentrate and the like in the subsequent step, the requirement on the homogenization is not very high, so that the method is suitable for a simple and quick determination method for research and detection, the experiment for judging the degree of homogenization of the iron ore concentrate and the bentonite is carried out through the water variation coefficient, and the data detection of the moisture value and the degree of homogenization is accurate through operation and observation for a period of time. Therefore, the mixing degree of the steel dust and mud can be judged according to the water variation coefficient. Meanwhile, the mixing degree of the iron ore concentrate and the bentonite can be judged by using the variation coefficient of the pH value. Meanwhile, the density of each raw material is different before and after the materials are mixed and sintered, so that the mixing degree of the iron ore concentrate and the bentonite can be judged according to the variation coefficient of the material density.
Example 1
And selecting the variation coefficients of three factors of moisture, density (tap density) and pH to judge the mixing degree of the iron ore concentrate and the bentonite.
The experiment for judging the blending degree of the iron ore concentrate and the bentonite by utilizing the water variation coefficient comprises the following steps:
1) the sample is gridded in accordance with the space,
2) 10 samples were taken from 10 grids at the same intervals, and the initial net weight of the sampled samples was W, excluding the weight of the sampling vessel1(100g) The weight of the dried sample is W2Then the moisture value for one sample is:
Figure BDA0003155367970000051
3) measuring the water content of 10 samples, wherein the water content of the 10 samples is X1,X2,X3…X10
4) The average of the moisture content of the 10 samples is then:
Figure BDA0003155367970000052
5) the standard deviation of the moisture content was:
Figure BDA0003155367970000053
6) coefficient of variation of degree of mixing of moisture quality index of material
Figure BDA0003155367970000054
The value:
Figure BDA0003155367970000055
the experiment for judging the blending degree of the iron ore concentrate and the bentonite by a pH value variation coefficient method comprises the following steps:
1) the sample is gridded according to the space;
2) selecting 10 grids according to the same distance and sampling 10 grids respectively;
3) the pH value of 10 samples was measured as pH1,pH2,pH3,…,pH10
4) The average of the pH values for 10 samples was calculated as:
Figure BDA0003155367970000056
5) standard deviation of pH:
Figure BDA0003155367970000057
6) material pH index mixing degree variation coefficient CVpHThe value:
Figure BDA0003155367970000058
an experiment for judging the blending degree of the iron ore concentrate and the bentonite by using a density (tap density) variation coefficient method:
1) the sample is gridded according to the space;
2) selecting 10 grids according to the same distance and sampling 10 grids respectively;
3) measuring the density values of 10 samples, wherein the density values of the 10 samples are respectively M1,M2,M3…MN
4) The average of the densities of the 10 samples is then:
Figure BDA0003155367970000061
5) the standard deviation S of the density values is:
Figure BDA0003155367970000062
6) coefficient of variation CV of material density index and degree of mixingMThe value:
Figure BDA0003155367970000063
from the values of the three coefficients of variation:
Figure BDA0003155367970000064
the coupling evaluation method can show that the three kinds of variation coefficients are less than 5 percent, and meet the technical requirement that the mixing uniformity is less than 5 percent, so that the mixing degree of the iron ore concentrate and the bentonite obtained through evaluation is relatively uniform.
Example 2
The variation coefficients of four factors of moisture, density (loose density), granularity and pH are selected to judge the mixing degree of the cement raw meal in a coupling way.
The experiment for judging the mixing degree of the cement raw materials by utilizing the water variation coefficient is as follows:
1) the sample is gridded in accordance with the space,
2) 10 samples were taken from 10 grids at the same intervals, and the initial net weight of the sampled samples was W, excluding the weight of the sampling vessel1The weight of the dried sample is W2Then the moisture value for one sample is:
Figure BDA0003155367970000065
3) measure 10 samplesThe water content of the product and the water content of 10 samples are respectively X1,X2,X3…X10
4) The average of the moisture content of the 10 samples is then:
Figure BDA0003155367970000066
5) the standard deviation of the moisture content was:
Figure BDA0003155367970000067
6) coefficient of variation of degree of mixing of moisture quality index of material
Figure BDA0003155367970000068
The value:
Figure BDA0003155367970000069
the experiment for judging the mixing degree of the cement raw materials by using a density (apparent density) variation coefficient method comprises the following steps:
1) the sample is gridded according to the space;
2) selecting 10 grids according to the same distance and sampling 10 grids respectively;
3) measuring the density values of 10 samples, wherein the density values of the 10 samples are respectively M1,M2,M3…MN
4) The average of the densities of the 10 samples is then:
Figure BDA0003155367970000071
5) the standard deviation S of the density values is:
Figure BDA0003155367970000072
6) coefficient of variation CV of material density index and degree of mixingMThe value:
Figure BDA0003155367970000073
the experiment for judging the mixing degree of the cement raw materials by a particle size variation coefficient method comprises the following steps:
1) the sample is gridded according to the space;
2) selecting 10 grids according to the same distance and sampling 10 grids respectively;
3) the particle size values of 10 samples were measured, the particle size values of 10 samples being n respectively1,n2,n3…n10
4) The average of the particle sizes of the 10 samples is then:
Figure BDA0003155367970000074
5) the standard deviation of the particle size values was:
Figure BDA0003155367970000075
6) coefficient of variation CV of material granularity index blending degreenThe value:
Figure BDA0003155367970000076
taking a pH value variation coefficient method as a variation coefficient of the mixing degree:
1) the sample is gridded according to the space;
2) selecting 10 grids according to the same distance and sampling 10 grids respectively;
3) the pH value of 10 samples was measured as pH1,pH2,pH3,…,pH10
4) The average of the pH values for 10 samples was calculated as:
Figure BDA0003155367970000081
5) standard deviation of pH:
Figure BDA0003155367970000082
6) material pH index mixing degree variation coefficient CVpHThe value:
Figure BDA0003155367970000083
according to the values of the four coefficients of variation:
Figure BDA0003155367970000084
Figure BDA0003155367970000085
the coefficient of variation of the moisture value can be found by a coupling evaluation method
Figure BDA0003155367970000086
Coefficient of variation CV of density (apparent density)MCoefficient of variation of particle size CVnThe three variation coefficients are less than 5 percent, the technical requirement that the mixing uniformity is less than 5 percent is met, but the pH value variation coefficient CVpHMore than 5 percent, and the cement raw materials obtained by comprehensive evaluation are not mixed uniformly.
Example 3
The mixing degree of the sinter is judged by selecting the variation coefficients of two factors of moisture and density (tap density).
The experiment for judging the blending degree of the sinter by using the water variation coefficient:
1) spatially gridding the sample;
2) 10 samples were taken from 10 grids at the same intervals, and the initial net weight of the sampled samples was W, excluding the weight of the sampling vessel1The weight of the dried sample is W2Then the moisture value for one sample is:
Figure BDA0003155367970000087
3) measuring the water content of 10 samples, wherein the water content of the 10 samples is X1,X2,X3…X10
4) The average of the moisture content of the 10 samples is then:
Figure BDA0003155367970000088
5) the standard deviation of the moisture content was:
Figure BDA0003155367970000089
6) coefficient of variation of degree of mixing of moisture quality index of material
Figure BDA00031553679700000810
The value:
Figure BDA00031553679700000811
the experiment for judging the blending degree of the sinter by using a density (tap density) variation coefficient method comprises the following steps:
1) the sample is gridded according to the space;
2) selecting 10 grids according to the same distance and sampling 10 grids respectively;
3) measuring the density values of 10 samples, wherein the density values of the 10 samples are respectively M1,M2,M3…MN
4) The average of the densities of the 10 samples is then:
Figure BDA0003155367970000091
5) the standard deviation S of the density values is:
Figure BDA0003155367970000092
6) coefficient of variation CV of material density index and degree of mixingMThe value:
Figure BDA0003155367970000093
from the above two values of the coefficient of variation:
Figure BDA0003155367970000094
the coupling evaluation method can be used for knowing that the two kinds of variation coefficients are less than 5 percent, the technical requirements that the mixing uniformity is less than 5 percent are met, and the good mixing effect is achieved, so that the sintering ore is evaluated to have uniform mixing degree.

Claims (10)

1. A coupling evaluation method for the mixing uniformity of powder materials is characterized by comprising the following steps:
(1) performing grid division sampling on a powder material to be detected to obtain N sample numbers;
(2) selecting 2-4 factors of water content value, pH value, density and granularity, and respectively measuring each sample;
(3) the corresponding water content variation coefficient is obtained by processing N groups of measurement data of the selected factors
Figure FDA0003155367960000011
Coefficient of variation of pH value CVpHCoefficient of variation of density CVMCoefficient of variation of particle size CVn
(4) The variation coefficient of all the selected factors is within the range of less than or equal to 5 percent, and the mixture is determined to be uniformly mixed.
2. The method for coupling and evaluating the mixing uniformity of the powder material as claimed in claim 1, wherein the powder material is any one of an iron-making and sintering mixture, a cement raw material mixture, a ceramic raw material mixture and a refractory material mixture.
3. The method of claim 1, wherein the coefficient of variation of moisture value is a coupling evaluation of the uniformity of the powder material mixture
Figure FDA0003155367960000012
Obtained in the following way:
(1) initial net weight of the sampled sample is W1The weight of the dried sample is W2And measuring the moisture value of the sample as follows:
Figure FDA0003155367960000013
(2) the water content values of the N samples respectively measured are respectively X1,X2,X3…XN
(3) The average moisture content was:
Figure FDA0003155367960000014
(4) the standard deviation of the moisture content was:
Figure FDA0003155367960000015
(5) coefficient of variation of the moisture value
Figure FDA0003155367960000016
Figure FDA0003155367960000017
4. The method for coupling and evaluating the mixing uniformity of powder materials according to claim 1, wherein the pH variation coefficient CV ispHThe following is obtained:
1) the pH values of the N samples are respectively measured to be pH1,pH2,pH3,…,pHN
2) The average pH values were:
Figure FDA0003155367960000018
3) standard deviation of pH:
Figure FDA0003155367960000021
4) the coefficient of variation of pH value CVpH
Figure FDA0003155367960000022
5. The method for coupling and evaluating the mixing uniformity of powder materials according to claim 1, wherein the density variation coefficient CV isMThe following is obtained:
(1) the density values of the N samples are respectively M1,M2,M3…MN
(2) The average of the densities was:
Figure FDA0003155367960000023
(3) the standard deviation of the density values is:
Figure FDA0003155367960000024
(4) coefficient of variation of density CVM
Figure FDA0003155367960000025
6. The method for coupling and evaluating the mixing uniformity of powder materials according to claim 1, wherein the coefficient of variation of particle size CV isnThe following is obtained:
(1) the obtained N samples are measured to have particle size values of N respectively1,n2,n3…nN
(2) The average of the particle sizes of the N samples is then:
Figure FDA0003155367960000026
(3) the standard deviation of the particle size values was:
Figure FDA0003155367960000027
(4) the coefficient of variation of particle size CVn
Figure FDA0003155367960000028
7. The method for coupling and evaluating the mixing uniformity of powder materials according to claim 1, wherein the moisture value is measured by a powder moisture tester.
8. The method for coupling and evaluating the mixing uniformity of powder materials according to claim 1, wherein the method for measuring the pH value comprises the following steps:
the sample was made into a 5% suspension, stirred well to wet it completely, dispersed in water and then measured at ambient temperature using pH meter readings.
9. The method for coupling and evaluating the mixing uniformity of the powder material as claimed in claim 1, wherein the density measuring method comprises the following steps:
the method for measuring the tap density of the metal powder in GB/T21354-2008 or the method for measuring the apparent density of the metal powder in GB/T1479.1-2011 is adopted.
10. The method for coupling and evaluating the mixing uniformity of the powder material according to claim 1, wherein the particle size measuring method comprises the following steps:
and selecting a sieving method, a sedimentation method, a laser method or a microscopic method according to the characteristics of the powder material to be detected.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114804642A (en) * 2022-04-07 2022-07-29 四川炬鼎新材料科技有限公司 Basalt ore component for producing continuous basalt fiber and control method
CN115032362A (en) * 2022-04-07 2022-09-09 四川炬鼎新材料科技有限公司 Uniformity control method of ore raw material for basalt fiber
CN117368423A (en) * 2023-12-07 2024-01-09 上海百奥恒新材料有限公司 Quality inspection method for geopolymer and application thereof

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114804642A (en) * 2022-04-07 2022-07-29 四川炬鼎新材料科技有限公司 Basalt ore component for producing continuous basalt fiber and control method
CN115032362A (en) * 2022-04-07 2022-09-09 四川炬鼎新材料科技有限公司 Uniformity control method of ore raw material for basalt fiber
CN117368423A (en) * 2023-12-07 2024-01-09 上海百奥恒新材料有限公司 Quality inspection method for geopolymer and application thereof
CN117368423B (en) * 2023-12-07 2024-02-06 上海百奥恒新材料有限公司 Quality inspection method for geopolymer and application thereof

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