CN112630241A - Method for analyzing mineral substances in coal - Google Patents
Method for analyzing mineral substances in coal Download PDFInfo
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- 239000003245 coal Substances 0.000 title claims abstract description 252
- 229910052500 inorganic mineral Inorganic materials 0.000 title claims abstract description 244
- 239000011707 mineral Substances 0.000 title claims abstract description 244
- 238000000034 method Methods 0.000 title claims abstract description 90
- 239000000126 substance Substances 0.000 title claims abstract description 43
- 238000010494 dissociation reaction Methods 0.000 claims abstract description 16
- 230000005593 dissociations Effects 0.000 claims abstract description 16
- 238000009826 distribution Methods 0.000 claims abstract description 14
- 238000004380 ashing Methods 0.000 claims abstract description 12
- 239000002245 particle Substances 0.000 claims abstract description 9
- 238000004445 quantitative analysis Methods 0.000 claims description 33
- 238000004458 analytical method Methods 0.000 claims description 22
- 238000012764 semi-quantitative analysis Methods 0.000 claims description 21
- NLYAJNPCOHFWQQ-UHFFFAOYSA-N kaolin Chemical compound O.O.O=[Al]O[Si](=O)O[Si](=O)O[Al]=O NLYAJNPCOHFWQQ-UHFFFAOYSA-N 0.000 claims description 16
- 229910052622 kaolinite Inorganic materials 0.000 claims description 15
- 238000012360 testing method Methods 0.000 claims description 13
- 238000002441 X-ray diffraction Methods 0.000 claims description 8
- 238000005303 weighing Methods 0.000 claims description 8
- 238000001228 spectrum Methods 0.000 claims description 6
- 229910052900 illite Inorganic materials 0.000 claims description 5
- VGIBGUSAECPPNB-UHFFFAOYSA-L nonaaluminum;magnesium;tripotassium;1,3-dioxido-2,4,5-trioxa-1,3-disilabicyclo[1.1.1]pentane;iron(2+);oxygen(2-);fluoride;hydroxide Chemical compound [OH-].[O-2].[O-2].[O-2].[O-2].[O-2].[F-].[Mg+2].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[Al+3].[K+].[K+].[K+].[Fe+2].O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2.O1[Si]2([O-])O[Si]1([O-])O2 VGIBGUSAECPPNB-UHFFFAOYSA-L 0.000 claims description 5
- 239000011044 quartzite Substances 0.000 claims description 5
- 238000004381 surface treatment Methods 0.000 claims description 5
- YGANSGVIUGARFR-UHFFFAOYSA-N dipotassium dioxosilane oxo(oxoalumanyloxy)alumane oxygen(2-) Chemical compound [O--].[K+].[K+].O=[Si]=O.O=[Al]O[Al]=O YGANSGVIUGARFR-UHFFFAOYSA-N 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 229910052627 muscovite Inorganic materials 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 5
- 239000000571 coke Substances 0.000 description 13
- 239000003610 charcoal Substances 0.000 description 12
- 229940106265 charcoal Drugs 0.000 description 12
- 238000004939 coking Methods 0.000 description 12
- 230000019771 cognition Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000001590 oxidative effect Effects 0.000 description 2
- 238000004451 qualitative analysis Methods 0.000 description 2
- 238000005507 spraying Methods 0.000 description 2
- 239000005995 Aluminium silicate Substances 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 238000003723 Smelting Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 235000012211 aluminium silicate Nutrition 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000011335 coal coke Substances 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000007800 oxidant agent Substances 0.000 description 1
- 238000011056 performance test Methods 0.000 description 1
- 238000005498 polishing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/20—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by using diffraction of the radiation by the materials, e.g. for investigating crystal structure; by using scattering of the radiation by the materials, e.g. for investigating non-crystalline materials; by using reflection of the radiation by the materials
- G01N23/207—Diffractometry using detectors, e.g. using a probe in a central position and one or more displaceable detectors in circumferential positions
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/20—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by using diffraction of the radiation by the materials, e.g. for investigating crystal structure; by using scattering of the radiation by the materials, e.g. for investigating non-crystalline materials; by using reflection of the radiation by the materials
- G01N23/20008—Constructional details of analysers, e.g. characterised by X-ray source, detector or optical system; Accessories therefor; Preparing specimens therefor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/20—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by using diffraction of the radiation by the materials, e.g. for investigating crystal structure; by using scattering of the radiation by the materials, e.g. for investigating non-crystalline materials; by using reflection of the radiation by the materials
- G01N23/20008—Constructional details of analysers, e.g. characterised by X-ray source, detector or optical system; Accessories therefor; Preparing specimens therefor
- G01N23/2005—Preparation of powder samples therefor
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Abstract
本发明公开了一种煤中矿物质分析方法，所述煤中矿物质分析方法包括如下步骤：对第一煤样进行低温灰化处理，分析低温灰化样品以得到第一煤样中各矿物质的种类和含量；称取一定量的第二煤样，通过矿相解离分析仪对第二煤样中的矿物质进行参数测定，参数包括矿物质组成、矿物质含量、矿物嵌布特征、矿物粒级分布和矿物解离度等，对第二煤样中某矿物质的含量和第一煤样中各矿物质的含量进行一一比对，并得到该矿物质的比值误差，当该矿物质与第一煤样中含量前n种矿物质比值误差的绝对值均小于预设误差值时，输出该参数，重复此过程得到不同种类矿物质的参数。本发明实施例的煤中矿物质分析方法可以对煤中的矿物质进行全面的检测，且精确度高。
The invention discloses a method for analyzing minerals in coal. The method for analyzing minerals in coal includes the following steps: performing low-temperature ashing treatment on a first coal sample, and analyzing the low-temperature ashing sample to obtain each mineral in the first coal sample. The type and content of the substance; a certain amount of the second coal sample is weighed, and the minerals in the second coal sample are measured by the mineral phase dissociation analyzer. The parameters include mineral composition, mineral content, and mineral inlay characteristics. , mineral particle size distribution and mineral dissociation degree, etc., compare the content of a mineral in the second coal sample with the content of each mineral in the first coal sample one by one, and obtain the ratio error of the mineral, when When the absolute value of the ratio error between the mineral and the first n kinds of minerals in the first coal sample is smaller than the preset error value, the parameter is output, and the process is repeated to obtain parameters of different kinds of minerals. The method for analyzing minerals in coal according to the embodiment of the present invention can comprehensively detect minerals in coal with high accuracy.
Description
Technical Field
The invention relates to the technical field of coal coke production, in particular to a method for analyzing minerals in coal.
Background
The coke is one of the main raw materials in the smelting process, and the quality of the coke plays a role in the stable operation of the blast furnaceMost preferablyImportant role, and with the development of large-scale blast furnaces, higher requirements are also put forward on the quality index of coke. However, due to the reduction of resources and the increase of costs of high-quality coking coal, the quality of coke is more difficult to guarantee. The mineral substances in the coal are very easy to generate crystal form transformation in the coking process, so that the volume expansion is caused, and micro cracks are generated in the coke to influence the overall properties of the coke, so that the method is very important for measuring the mineral substances in the coal.
In the related art, the coal quality analysis method only obtains the approximate content of the mineral substances in the coal through some semi-quantitative methods, and the coal quality analysis method does not relate to factors such as specific element composition, content and granularity of the mineral substances in the coal, so that the deviation between a detection result and an actual result is large. In addition, the coal quality analysis method is only used for testing single coal and cannot meet the requirement of a large-scale blast furnace on high-quality coke.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the embodiment of the invention provides a method for analyzing minerals in coal, which can comprehensively detect the minerals in coal and has high accuracy.
The method for analyzing the minerals in the coal comprises the following steps: a semi-quantitative analysis method, a quantitative analysis method and an error analysis method, the semi-quantitative analysis method comprising the steps of:
weighing a certain amount of first coal sample, and performing low-temperature ashing treatment to obtain an ashed sample;
crushing the ashing sample to obtain a first XRD sample;
performing X-ray diffraction on the first XRD sample to obtain a first XRD spectrogram;
analyzing the first XRD spectrogram to obtain the types of various minerals in the first coal sample;
measuring the content of each mineral substance in the first coal sample;
the quantitative analysis method comprises the following steps:
weighing a certain amount of second coal sample, and crushing to obtain a second XRD sample;
performing X-ray diffraction on the second XRD sample to obtain a second XRD spectrogram;
analyzing the second XRD spectrogram to obtain the types of the minerals in the second coal sample, wherein the types of the minerals in at least part of the second coal sample are the same as the types of the minerals in at least part of the first coal sample;
determining parameters of each mineral in the second coal sample by a mineral phase dissociation analyzer, wherein the parameters include, but are not limited to, mineral composition, mineral content, mineral embedding characteristics, mineral size fraction distribution and mineral dissociation degree;
the error analysis method comprises the following steps:
and comparing the content of each mineral substance in the second coal sample with the content of each mineral substance n before the content of the first coal sample one by one to obtain the ratio error of each mineral substance.
And when the absolute value of the ratio error of the first coal sample and the mineral substance in the second coal sample is not less than the preset error value, obtaining the content of each mineral substance in the second coal sample by the quantitative analysis method again, and when the absolute value of the ratio error of the first coal sample and the mineral substance in the second coal sample is less than the preset error value, outputting the parameter.
According to the method for analyzing the minerals in the coal, provided by the embodiment of the invention, the first coal sample can be subjected to semi-quantitative analysis through a semi-quantitative analysis method to obtain the approximate content of each mineral in the first coal sample, then carrying out quantitative analysis on the second coal sample by a quantitative analysis method to obtain parameters such as specific content of each mineral substance, mineral embedding characteristics, mineral size distribution, mineral dissociation degree and the like in the second coal sample, finally carrying out error analysis on the first coal sample and the second coal sample by an error analysis method, when the absolute values of the errors of the mineral content ratios are smaller than the preset error value, the test data of the method for analyzing the minerals in the coal are accurate, the error analysis process is repeated to obtain the characteristic parameters of all the minerals to be detected, therefore, the method for analyzing the minerals in the coal can comprehensively detect the minerals in the coal, and is high in accuracy.
In some embodiments, the first coal sample is measured a plurality of times by the semi-quantitative analysis method to obtain data on the content of each mineral in the plurality of sets of the first coal sample, and an average of the content of each mineral in the plurality of sets of the first coal sample is calculated.
In some embodiments, the content of each mineral in the first coal sample is measured by the JADE software and/or the SIROQUANT method.
In some embodiments, the quantitative analysis method further comprises the steps of: performing surface treatment on the second coal sample; identifying a mineral structure and a mineral composition in the second coal sample by at least one of a scanning electron microscope, a spectrometer, and an X-ray energy spectrometer.
In some embodiments, the second coal sample is measured a plurality of times by the quantitative analysis method to obtain data on the content of each mineral in the plurality of sets of the second coal samples, and an average of the content of each mineral in the plurality of sets of the second coal samples is calculated.
In some embodiments, the ratio error is calculated by the formula:
wherein, R isnIs the error of the ratio to the nth mineral in the first coal sample, XnThe content of the n-th mineral substance, M, of the first coal sample obtained by the semi-quantitative analysis methodnThe content of the n-th mineral substance, X, of the second coal sample obtained by the quantitative analysis methodtestIs the content of a certain mineral substance to be measured, M, in the first coal sampletestThe content of a certain mineral substance to be detected in the second coal sample.
In some embodiments, the preset error value is 10%.
In some embodiments, the specific value of n is greater when the accuracy requirement of the coal mineral analysis method on the result is higher.
In some embodiments, the nth mineral content of the first coal sample is not less than 1%.
In some embodiments, the minerals in the first coal sample and the minerals in the second coal sample comprise kaolinite, illite, muscovite, and quartzite.
Drawings
FIG. 1 is a flow chart of a method for analyzing minerals in coal according to an embodiment of the present invention.
Figure 2 is a graph of the particle size distribution of kaolinite according to one embodiment of the present invention.
Fig. 3 is a graph of the particle size distribution of kaolinite according to another embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
A method for analyzing minerals in coal according to an embodiment of the present invention will be described with reference to fig. 1.
As shown in fig. 1, the method for analyzing minerals in coal according to an embodiment of the present invention includes a semi-quantitative analysis method, a quantitative analysis method, and an error analysis method.
S1: the semi-quantitative analysis method comprises the following steps:
weighing a certain amount of first coal sample, and performing low-temperature ashing treatment to obtain an ashed sample;
crushing the ashing sample to obtain a first XRD sample;
performing X-ray diffraction on the first XRD sample to obtain a first XRD spectrogram;
analyzing the first XRD spectrogram to obtain the types of various minerals in the first coal sample;
the content of each mineral in the first coal sample is measured.
S2: the quantitative analysis method comprises the following steps:
weighing a certain amount of second coal sample, and crushing to obtain a second XRD sample;
performing X-ray diffraction on the second XRD sample to obtain a second XRD spectrogram;
analyzing the second XRD spectrogram to obtain the types of the minerals in the second coal sample, wherein the types of the minerals in the second coal sample are the same as the types of the minerals in the first coal sample, and it can be understood that the first coal sample and the second coal sample are both taken from the same batch of coal samples;
determining parameters of each mineral substance in the second coal sample through a mineral phase dissociation analyzer, wherein the parameters include but are not limited to mineral composition, mineral content, mineral embedding characteristics, mineral size fraction distribution and mineral dissociation degree;
s3: the error analysis method comprises the following steps:
and comparing the content of each mineral in the second coal sample with the content of each mineral in the first coal sample, wherein the content of each mineral is n before the content of each mineral in the first coal sample, obtaining the ratio error of each mineral, obtaining the content of each mineral in the second coal sample by a quantitative analysis method when the absolute value of the ratio error of each mineral is not less than the preset error value, and outputting parameters such as mineral composition, mineral content, mineral distribution characteristics, mineral grain size distribution and mineral dissociation degree when the absolute value of the ratio error of each mineral is less than the preset error value.
According to the method for analyzing the minerals in the coal, provided by the embodiment of the invention, the first coal sample can be subjected to semi-quantitative analysis through a semi-quantitative analysis method to obtain the approximate content of each mineral in the first coal sample, then the second coal sample is subjected to quantitative analysis through a quantitative analysis method to obtain parameters such as the specific content of each mineral, mineral imbedding characteristics, mineral particle size distribution and mineral dissociation degree in the second coal sample, finally the first coal sample and the second coal sample are subjected to error analysis through an error analysis method, and when the absolute value of the ratio error of the contents of each mineral is smaller than a preset error value, the test data obtained through the method for analyzing the minerals in the coal is accurate, so that the method for analyzing the minerals in the coal can comprehensively detect the minerals in the coal, and is high in accuracy.
Specifically, the first coal samples are measured for multiple times through a semi-quantitative analysis method to obtain data of the content of each mineral substance in the multiple groups of first coal samples, and when the data of the content of each mineral substance in the multiple groups of first coal samples are within a first error range, an average value of the content of each mineral substance in the multiple groups of first coal samples is calculated.
It can be understood that the first error range is an error range of the content of each mineral substance in the first coal sample in the semi-quantitative analysis method, so as to reject data with large deviation in the content of each mineral substance in multiple groups of first coal samples. Therefore, according to the method for analyzing the minerals in the coal, provided by the embodiment of the invention, the content of each mineral in the first coal sample can be accurately measured, so that the problem that the content of each mineral in the first coal sample is not accurately measured due to experimental errors is avoided.
Alternatively, the content of each mineral in the first coal sample can be measured by the JADE software and SIROQUANT analysis method.
In some embodiments, the quantitative analysis method further comprises the steps of: performing surface treatment on the second coal sample; the mineral structure and mineral composition in the second coal sample are identified by at least one of a scanning electron microscope, a spectrometer, and an X-ray energy spectrometer.
Specifically, the second coal sample is fixed by hot-setting and cold-setting, and then subjected to surface treatment, such as sample grinding, polishing, oxidant corrosion, metal spraying, carbon spraying, and the like. And then through instruments such as electron microscope, spectrometer and X ray energy spectrometer to structure, mineral substance composition, mineral substance looks in the second coal sample preliminary cognition to the contrast and the cognition of the follow-up sample of convenience.
In some embodiments, the second coal sample is measured multiple times by a quantitative analysis method to obtain data of the content of each mineral in the multiple sets of second coal samples, and an average value of the content of each mineral in the multiple sets of second coal samples is calculated when the data of the content of each mineral in the multiple sets of second coal samples is within a second error range.
It can be understood that the second error range is an error range of the contents of the minerals in the second coal sample in the quantitative analysis method, so as to reject data with large deviation in the contents of the minerals in the multiple groups of second coal samples. Therefore, according to the method for analyzing the minerals in the coal, provided by the embodiment of the invention, the content of each mineral in the second coal sample can be accurately measured, so that the problem of inaccurate measurement of the content of each mineral in the second coal sample caused by experimental errors is avoided.
In some embodiments, the ratio error is calculated as:
wherein R isnIs the error of the ratio to the nth mineral in the first coal sample, XnThe content of the n-th mineral substance, M, of the first coal sample obtained by the semi-quantitative analysis methodnThe content of the n-th mineral substance of the second coal sample obtained by the quantitative analysis method is n is 1, 2 or 3, XtestIs the content of the mineral substance to be measured, M, in the first coal sampletestAnd the content of the mineral substance to be detected in the second coal sample is shown.
It will be appreciated that the value of n is a function of the accuracy required of the test results. Namely, the specific value of n is larger when the accuracy requirement of the method for analyzing the minerals in the coal on the result is higher.
Specifically, the nth mineral content of the first coal sample is not less than 1%. If the nth mineral content of the first coal sample is less than 1%, then it is not recommended as a reference mineral.
For example, n is the mineral content of the top three in the coal sample. Optionally, the minerals in the first coal sample and the minerals in the second coal sample each include, but are not limited to, kaolinite, illite, muscovite, and quartzite, and the kaolinite, illite, muscovite, and quartzite are present in the first coal sample and the second coal sample in higher amounts.
Preferably, the preset error value is 10%.
For example, when the mineral ratio error RnWhen the absolute values of the coal-based mineral analysis method are all less than 10% of the preset error value, all the parameters obtained by the coal-based mineral analysis method are accurate. When the mineral ratio error RnWhen the absolute value of the second coal sample is not less than 10% of the preset error value, two groups of data with larger errors in the mineral content in the second coal sample are removed, the mineral phase dissociation analyzer is used for carrying out parameter re-measurement on each mineral in the second coal sample, and then ratio error calculation is carried out again. Ratio error R after redetectionnWhen the absolute value of the error is still not less than 10% of the preset error value, the experiment of the method for analyzing the minerals in the coal is carried out again.
A method for analyzing minerals in coal according to some specific examples of the invention will be described below with reference to the drawings.
As shown in fig. 1, the method for analyzing minerals in coal according to an embodiment of the present invention includes a semi-quantitative analysis method, a quantitative analysis method, and an error analysis method.
S0: and extracting a certain amount of detection coal as a subsequent experimental sample.
S1: the semi-quantitative analysis method comprises the following steps:
s11, weighing 200g of coal sample from the experiment sample as a first coal sample, putting the first coal sample into a low-temperature ashing furnace, and oxidizing the organic matters in the first coal sample for 100-125h at the temperature lower than 150 ℃ to obtain a low-temperature ashing sample;
s12, weighing 10g of low-temperature ashing sample comparison sample, crushing the sample until the granularity is less than 74 mu m to obtain a first XRD sample,
s13, carrying out X-ray diffraction on the first XRD sample through an XRD diffractometer to obtain a first XRD spectrogram;
s14, carrying out qualitative analysis on the first coal sample through full spectrum fitting in JADE software to obtain the types of all mineral substances in the first coal sample;
s15, carrying out quantitative analysis on the first coal sample by a SIROQUANT analysis method to obtain the content of each mineral substance in the first coal sample;
and S16, repeating the steps S12-S15 three times, and taking the average value of the three measured data if the three measured data are within the allowable error range.
The inventors measured the mineral content of the mixed coal having coal designations of fat coal one, char coal one and 1/3 char coal one and the mineral content of the mixed coal of fat coal two, char coal two and 1/3 char coal two, respectively, by a semi-quantitative analysis method, and obtained the following experimental results, as shown in table 1.
Table 1: table of contents of each mineral in the first coal sample in the total minerals
S2: the quantitative analysis method comprises the following steps:
s21: weighing 10g of coal sample from the experimental sample as a second coal sample, and crushing the second coal sample until the granularity is less than 74 mu m to obtain a second XRD sample;
s22: performing X-ray diffraction on the second XRD sample by using an XRD diffractometer to obtain a second XRD spectrogram;
s23: performing qualitative analysis on the second coal sample through full spectrum fitting in JADE software to obtain the types of various minerals in the second coal sample;
s24: and performing surface treatment on the second coal sample, and identifying the mineral structure and the mineral composition in the second coal sample through at least one of a scanning electron microscope, a spectrometer and an X-ray energy spectrometer.
S25: and (3) carrying out parameter measurement on each mineral substance at a plurality of positions in the second coal sample through a mineral phase dissociation analyzer, wherein the parameters comprise mineral composition, mineral content, mineral embedding characteristics, mineral size fraction distribution and mineral dissociation degree.
The inventors measured the mineral content of the mixed coal having coal designations of fat coal one, char coal one and 1/3 char coal one and the mineral content of the mixed coal of fat coal two, char coal two and 1/3 char coal two, respectively, by a quantitative analysis method, and obtained the following experimental results, as shown in table 2.
Table 2: content table of each mineral in the second coal sample in the total mineral
Further, the inventors obtained the mineral content and the kaolinite content in the second coal sample by a quantitative analysis method, as shown in table 3.
Table 3: table of total mineral content and kaolinite content in the second coal sample
| Second coal sample | Content of minerals/%) | Kaolinite content/%) |
| Fat coal one, coking coal one and 1/3 coking coal one | 10.53 | 5.27 |
| Fat coal II, coking coal II and 1/3 coking coal II | 13.48 | 7.15 |
Further, as shown in fig. 2, the inventors obtained a particle size distribution graph of kaolinite in the mixed coal of the fat coal one, the coking coal one and the 1/3 coking coal one by a quantitative analysis method. As shown in fig. 3, the inventors obtained a particle size distribution graph of kaolinite in the mixed coal of the second fat coal, the second coke coal and the second 1/3 coke coal by a quantitative analysis method. Therefore, the influence of the size of the mineral particle size in the mixed coal on the coke quality can be better understood through a quantitative analysis method.
S3: the error analysis method comprises the following steps:
s31, comparing the content of each mineral substance in the first coal sample with the content of each mineral substance in the second coal sample one by one to obtain the ratio error of each mineral substance,
the calculation formula of the ratio error is as follows:
wherein R isnIs the error of the ratio of the n-th mineral substance to the first coal sample, XnThe content of the n-th mineral substance, M, of the first coal sample obtained by the semi-quantitative analysis methodnThe content of the n-th mineral, X, of the second coal sample obtained by the quantitative analysis methodtestIs the content of a certain mineral substance to be measured, M, in the first coal sampletestThe content of a certain mineral substance to be detected in the second coal sample.
And S32, outputting parameters such as mineral composition, mineral content, mineral embedding characteristics, mineral size distribution, mineral dissociation degree and the like when the absolute value of the ratio error of each mineral is less than 10%.
The inventors determined the ratio error of each mineral content by an error analysis method and obtained the following experimental results as shown in table 4.
Table 4: error table for ratio of kaolinite to each mineral content
As shown in table 4, the absolute value of the error of the ratio of the kaolinite to the illite, the kaolinite and the quartzite in the mineral phase with the top three contents is within 10%, and then the following can be obtained: the data of the kaolinite obtained by a quantitative analysis method is accurate and credible. Repeating the process to obtain the content of all the mineral substances to be detected.
In addition, the inventors conducted thermal state performance tests on a mixed coal having coal designations of fat coal one, char coal one and 1/3 char coal one and a mixed coal of fat coal two, char coal two and 1/3 char coal two, and obtained the following test results, as shown in table 5.
Table 5: coke quality reaction chart
As can be seen from fig. 2, fig. 3 and table 4, the mineral content of the first blended coal (i.e., fat coal i + coking coal i +1/3 coking coal i) is less than that of the second blended coal (i.e., fat coal i + coking coal i +1/3 coking coal i), and the kaolin particle size is less than that of the second blended coal. And it can be seen from table 5 that the quality of the coke prepared using the mixed coal one is significantly superior to that of the coke prepared using the mixed coal two.
In the description of the present invention, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the invention and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; may be mechanically coupled, may be electrically coupled or may be in communication with each other; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the present disclosure, the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" and the like mean that a specific feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
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