CN115508167A - Method for identifying coking performance of coking coal by using colloidal microstructure - Google Patents

Method for identifying coking performance of coking coal by using colloidal microstructure Download PDF

Info

Publication number
CN115508167A
CN115508167A CN202211354593.2A CN202211354593A CN115508167A CN 115508167 A CN115508167 A CN 115508167A CN 202211354593 A CN202211354593 A CN 202211354593A CN 115508167 A CN115508167 A CN 115508167A
Authority
CN
China
Prior art keywords
coking
coal
colloidal
content
sample
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211354593.2A
Other languages
Chinese (zh)
Inventor
徐秀丽
姜雨
吴成林
孟庆波
边春杨
马岩
侯金朋
唐帅
王泽世
张世东
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sinosteel Anshan Research Institute of Thermo Energy Co Ltd
Original Assignee
Sinosteel Anshan Research Institute of Thermo Energy Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sinosteel Anshan Research Institute of Thermo Energy Co Ltd filed Critical Sinosteel Anshan Research Institute of Thermo Energy Co Ltd
Priority to CN202211354593.2A priority Critical patent/CN115508167A/en
Publication of CN115508167A publication Critical patent/CN115508167A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00—Sampling; Preparing specimens for investigation
    • G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention relates to a method for identifying coking coal coking performance by utilizing a colloidal microstructure, which is used for preparing a sample for testing; carrying out single coal coking test and obtaining colloidal substance test; measuring the optical tissue structures of the coke and the colloid, setting OA to represent the optical anisotropic structure content, and calculating the optical anisotropic structure content OA of the coke and the colloid by utilizing OA = fine grain mosaic content + medium grain mosaic content + coarse grain mosaic content + incomplete fiber content + complete fiber content + flake content 1 And OA 2 (ii) a By using

Description

Method for identifying coking performance of coking coal by using colloidal microstructure
Technical Field
The invention belongs to the field of coal coke chemical industry, and particularly relates to a method for identifying coking performance of coking coal by using a colloidal microstructure.
Background
With the upsizing of blast furnaces, the coke plays an increasingly important role as a supporting framework, so that coking coal with better coking property is required. The international classification standard of coal shows that the Aurea swelling degree, the Ge Jin index and the coke slag characteristics are internationally recognized coking indexes of coal; in the field of domestic coal coke, the caking index G value, the colloidal layer thickness Y value and the Australian expansion degree b value are considered as main indexes of coking property, wherein the caking index G value, the colloidal layer thickness Y value and the Australian expansion degree b value are quantitative indexes, and the Ge Jin index and the characteristics of coke slag are qualitative indexes. Because coal is an organic biological rock with very complicated composition and structure and extremely inhomogeneous, the indexes can only represent the process characteristics of one aspect of coking coal and can not reflect the quality difference of coal rock components and vitrinite components brought by coal-forming plants and coal-forming environments.
Under a coal rock analyzer, the coal is observed to contain different microstructures, and the microstructures are mainly divided into a microscopic group, a chitin group and an inert group. The vitrinite group and the chitin group can be softened and melted to form an intermediate phase small sphere in the coal carbonization and coking process, and the intermediate phase small sphere is melted and solidified to form optical anisotropic tissues with different forms and structures. The inert components in the coal are basically not softened and melted in the pyrolysis process, the original shape and structure are maintained, and the silk carbon and fragment-shaped structures of the inert components in the coke are formed. The optical structure of coke has a direct influence on the properties of coke and its reactivity in the blast furnace.
With the continuous development of coal resources, it is found that the coking performance of many coals has great difference when the conventional indexes and coal rock reflectivity are close, and a new index or method is required to be searched for more reasonably judging the coal quality. The formation and development of mesophases during the pyrolysis of coal play an important role in the properties of coking coal.
Disclosure of Invention
The invention aims to provide a method for identifying coking coal coking performance by utilizing a colloidal microstructure, which is simple and reliable, low in cost, good in timeliness and suitable for coal and coking enterprises.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for identifying coking coal coking performance by utilizing a colloidal microstructure comprises the following steps:
1) Preparing a coking coal sample, and obtaining a colloidal sample of the same coal type as the coking coal sample;
2) Carrying out a coking test on the single coking coal sample prepared in the step 1) according to YB/T4526 technical Specification for small coking ovens for coking test, and preparing sheets according to a method for determining the optical tissue of coke and determining the content of the optical tissue of coke;
3) Placing the colloidal sample obtained in the step 1) into a crucible, sequentially placing asbestos and iron blocks on the surface of the colloidal sample, and covering the crucible cover tightly;
4) The crucible is placed into a muffle furnace for heating, and the temperature control program of the muffle furnace is as follows: raising the temperature to 450-600 ℃ at room temperature at a speed of 3-10 ℃/min, and keeping the temperature for less than or equal to 5h;
5) Taking out the crucible, cooling the crucible to below 30 ℃, taking out a colloidal sample, flaking the colloidal sample according to a coke optical tissue determination method, and determining the volume percentage of each optical tissue;
6) Setting an optical anisotropy content OA, and making OA = fine grain mosaic content + medium grain mosaic content + coarse grain mosaic content + incomplete fiber content + complete fiber content + flake content;
7) Respectively calculating the optical anisotropic structure content OA of the coking coal sample by using the formula of the step 6) 1 And gumsOptical anisotropy tissue content OA of bulk sample 2 ；
8) Setting P value to characterize the formation rate of the colloid optical anisotropic structure, and
Figure BDA0003920537780000021
calculating a P value;
9) And identifying the coking property of the coking coal, wherein the coking coal coking performance is positively contributed when P is more than 70 percent, and the coking coal coking performance is negatively contributed when P is less than or equal to 70 percent.
The preparation granularity of the coking coal sample in the step 1) is controlled as follows: the grain size of less than 3mm accounts for 78-90%, and the granularity of the obtained colloidal sample is less than 1mm.
The weight of the coking coal sample in the step 1) is 20-300 kg, and the weight of the colloidal sample is 20-300 g.
The mass of the iron blocks in the step 3) is 100-130g.
The single coal applicable to the method comprises the following technical principles:
through long-term research, the performance of the colloidal body is found to be a key factor influencing the coking property of the coking coal, and the method is a coking coal coking performance identification method which is developed by taking a coking theory as a support. The different soft coal colloids have different properties and quantities, so that the bonding strength is different; due to the difference in lithofacies composition, bituminous coals have different rates of forming anisotropic structures during pyrolysis, and eventually coke of different quality and different optical structures is formed. Therefore, the higher the formation rate of the colloid optical anisotropic structure is, the better the colloid performance is, and the coke with good quality can be generated.
Compared with the prior art, the invention has the beneficial effects that:
1) According to the method, each index of the coking coal does not need to be detected, the coking performance of the coking coal can be judged in a short time, and a reliable basis can be provided for coal quality evaluation and coal blending guidance;
2) The method is simple and reliable, low in cost, good in timeliness, suitable for coal and coking enterprises and wide in popularization value.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following 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.
The invention relates to a method for identifying coking coal coking performance by utilizing a colloidal microstructure, which identifies the coking coal coking performance by obtaining a colloidal optical anisotropic structure formation rate index.
The coking coal applicable to the invention comprises gas coal, gas fat coal, 1/3 coking coal, lean coal and lean coal.
The formation of optical structure is closely related to the macromolecular structure of coal, and for coking coal, when the aromatic ring in the coal molecular structure is larger and the branching degree is smaller, the coking performance is better. For coals with the above structural characteristics, the colloids tend to form optically anisotropic structures upon pyrolysis. The forming rate of the optical anisotropic structure is high, namely the forming rate of the optical anisotropic structure is high, the representative system has proper activity, high viscosity and good performance of a colloidal body, and the coke with good quality is favorably generated.
In order to explain the technical solution of the present invention, the following detailed description is given with reference to specific examples.
Taking coking coal used by a certain enterprise as an example, the coal quality analysis results of coking coal A to coking coal D are shown in Table 1;
TABLE 1 coal quality analysis of individual coals
Figure BDA0003920537780000031
Example 1:
1) Preparing a 40kg coking coal A sample, and obtaining 25g of a colloidal sample of the same coal type as the coking coal A;
2) Carrying out 40kg coking test on coking coal A according to YB/T4526 technical Specification for small coke ovens for coking test, and making sheets according to a method for measuring coke optical tissues and measuring the content of the coke optical tissues;
3) Placing the sample for obtaining the colloid into a crucible, sequentially placing asbestos and iron blocks on the surface of the sample, wherein the mass of the iron blocks is 110g, and covering the crucible tightly;
4) Putting the crucible into a muffle furnace for heating, wherein the temperature control program of the muffle furnace is as follows: heating to 500 deg.C at room temperature at 3 deg.C/min, and maintaining for 0.5h;
5) Taking out the crucible, cooling the crucible to below 30 ℃, taking out the colloidal body, flaking the colloidal body according to a method for measuring the optical tissues of coke, and measuring the volume percentage of each optical tissue;
6) The OA of coke a was calculated according to the formula OA = fine grain mosaic content + medium grain mosaic content + coarse grain mosaic content + incomplete fiber content + complete fiber content + flake content 1 OA value of 68.76% and colloidal A 2 The value was 36.16%; the optical organization structure content of coke A and colloidal A is shown in Table 2;
7) According to the formula
Figure BDA0003920537780000041
The P value was calculated to be 52.6%;
8) The coking performance of the coking coal is identified, the P value of the coking coal A is 52.6 percent, and the coking coal A belongs to coal types with negative contribution to the coking performance.
Table 2 example 1 optical texture content
Figure BDA0003920537780000042
Example 2:
1) Preparing a 200kg coking coal B sample, and obtaining 100g of a colloidal sample of the same coal type as the coking coal B;
2) Carrying out a 200kg coking test on coking coal B according to YB/T4526 technical Specification for small coke ovens for coking test, and preparing sheets according to a method for determining coke optical tissues and determining the content of the coke optical tissues;
3) Placing the sample for obtaining the colloid into a crucible, sequentially placing asbestos and iron blocks on the surface of the sample, wherein the mass of the iron blocks is 110g, and covering the crucible tightly;
4) The crucible is placed into a muffle furnace for heating, and the temperature control program of the muffle furnace is as follows: the temperature is raised to 550 ℃ at the speed of 5 ℃/min and the temperature is kept constant for 0.5h.
5) Taking out the crucible, cooling the crucible to below 30 ℃, taking out the colloidal body, flaking the colloidal body according to a method for measuring the optical tissues of coke, and measuring the volume percentage of each optical tissue;
6) The OA of coke B and colloidal B was calculated according to the formula OA = fine particle mosaic content + medium particle mosaic content + coarse particle mosaic content + incomplete fiber content + complete fiber content + flake content 1 Value 84.27% and OA 2 The value was 77.48%; the optical structure content of coke B and colloidal B is shown in table 3;
7) According to the formula
Figure BDA0003920537780000043
The P value was calculated to be 91.9%;
8) The coking performance of the coking coal is identified, and the P value of the coking coal B is 91.9 percent, which belongs to the coal type positively contributing to the coking performance.
Table 3 example 2 optical texture content
Figure BDA0003920537780000051
Example 3:
1) Preparing a 40kg coking coal C sample, and obtaining 150g of a colloidal sample of the same coal type as the coking coal C;
2) Carrying out a 40kg coking test on coking coal C according to YB/T4526 technical Specification for small coke ovens for coking test, and preparing sheets according to a method for determining coke optical tissues and determining the content of the coke optical tissues;
3) Placing the sample for obtaining the colloid into a crucible, sequentially placing asbestos and iron blocks on the surface of the sample, wherein the mass of the iron blocks is 110g, and covering the crucible tightly;
4) Putting the crucible into a muffle furnace for heating, wherein the temperature control program of the muffle furnace is as follows: raising the temperature to 600 ℃ at room temperature at the speed of 8 ℃/min, and keeping the temperature for 0.5h;
5) Taking out the crucible, cooling the crucible to below 30 ℃, taking out the colloidal body, flaking the colloidal body according to a method for measuring the optical tissues of coke, and measuring the volume percentage of each optical tissue;
6) Calculating OA of the coke C and the colloidal body C according to the formula OA = fine grain mosaic content + medium grain mosaic content + coarse grain mosaic content + incomplete fiber content + complete fiber content + flake content 1 Value 82.05% and OA 2 A value of 53.61%; the optical structure content of coke C and colloidal C is shown in table 4;
7) According to the formula
Figure BDA0003920537780000052
The P value was calculated to be 65.3%,
8) The coking performance of the coking coal is identified, and the P value of the coking coal C is 65.3 percent, which belongs to the coal types with negative contribution to the coking performance.
Table 4 example 3 optical texture content
Figure BDA0003920537780000053
Example 4:
1) Preparing a 20kg coking coal D sample, and obtaining 25g of a colloidal sample of the same coal type as the coking coal D;
2) Carrying out a 20kg coking test on coking coal D according to YB/T4526 technical Specification for small coke ovens for coking test, and preparing sheets according to a method for determining coke optical tissues and determining the content of the coke optical tissues;
3) Placing the sample for obtaining the colloid into a crucible, sequentially placing asbestos and iron blocks on the surface of the sample, wherein the mass of the iron blocks is 110g, and covering the crucible tightly;
4) Putting the crucible into a muffle furnace for heating, wherein the temperature control program of the muffle furnace is as follows: the temperature is raised to 500 ℃ at room temperature at 4 ℃/min and the temperature is kept for 1h.
5) Taking out the crucible, cooling the crucible to below 30 ℃, taking out the colloidal body, flaking the colloidal body according to a method for measuring the optical tissues of coke, and measuring the volume percentage of each optical tissue;
6) The OA of coke D and colloidal D was calculated according to the formula OA = fine particle mosaic content + medium particle mosaic content + coarse particle mosaic content + incomplete fiber content + complete fiber content + flake content 1 Value 66.07% and OA 2 The value was 65.56%; the optical structure content of coke D and colloidal D is shown in table 5;
7) According to the formula
Figure BDA0003920537780000061
The P value was calculated to be 99.2%;
8) The coking performance of the coking coal is identified, and the P value of the coking coal D is 99.3 percent, which belongs to the coal types positively contributing to the coking performance.
Table 5 example 4 optical texture content
Figure BDA0003920537780000062
The method can accurately, simply and quickly judge the coking performance of the coking coal, and the colloidal substance is an essential factor influencing the coking characteristics of the coal, so that the method can be researched and developed from the source and can accurately judge the coking performance of the coking coal, thereby guiding the coal quality evaluation and coal blending.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above described embodiments, and simple variations and combinations within the described values and intervals of the present invention are considered to be the disclosure of the present invention and to fall within the protection scope of the present invention.

Claims (5)

1. A method for identifying coking coal coking performance by using a colloidal microstructure is characterized by comprising the following steps:
1) Preparing a coking coal sample, and obtaining a colloidal sample of the same coal type as the coking coal sample;
2) Carrying out a coking test on the single coking coal sample prepared in the step 1) according to YB/T4526 technical Specification for small coking ovens for coking test, and preparing sheets according to a method for determining the optical tissue of coke and determining the content of the optical tissue of coke;
3) Placing the colloidal sample obtained in the step 1) into a crucible, sequentially placing asbestos and iron blocks on the surface of the colloidal sample, and covering the crucible cover tightly;
4) The crucible is placed into a muffle furnace for heating, and the temperature control program of the muffle furnace is as follows: raising the temperature to 450-600 ℃ at room temperature at a speed of 3-10 ℃/min, and keeping the temperature for less than or equal to 5h;
5) Taking out the crucible, cooling the crucible to below 30 ℃, taking out a colloidal sample, flaking the colloidal sample according to a coke optical tissue determination method, and determining the volume percentage of each optical tissue;
6) Setting an optical anisotropy content OA, and making OA = fine grain mosaic content + medium grain mosaic content + coarse grain mosaic content + incomplete fiber content + complete fiber content + flake content;
7) Respectively calculating the optical anisotropic structure content OA of the coking coal sample by using the formula of the step 6) 1 And optical anisotropic tissue content OA of colloidal sample 2 ；
8) Setting P value to characterize the formation rate of colloid optical anisotropic structure
Figure FDA0003920537770000011
Calculating a P value;
9) And identifying the coking property of the coking coal, wherein the coking performance of the coking coal is positively contributed when P is more than 70 percent, and the coking performance of the coking coal is negatively contributed when P is less than or equal to 70 percent.
2. The method for identifying the coking coal coking performance by utilizing the colloidal microstructure as claimed in claim 1, wherein the preparation particle size of the coking coal sample in the step 1) is controlled as follows: the grain size of less than 3mm accounts for 78-90%, and the granularity of the obtained colloidal sample is less than 1mm.
3. The method for identifying coking coal coking performance by using colloidal microstructure according to claim 1, wherein the weight of the coking coal sample in the step 1) is 20-300 kg, and the weight of the colloidal sample in the step 1) is 20-300 g.
4. The method for discriminating coking coal coking performance using colloidal microstructure according to claim 1 wherein the mass of the iron nuggets in the above step 3) is 100 to 130g.
5. The method for identifying coking coal coking performance by using colloidal microstructure according to claim 1, wherein the coking coal applicable to the method comprises gas coal, gas fat coal, 1/3 coking coal, lean coal and lean coal.
CN202211354593.2A 2022-11-01 2022-11-01 Method for identifying coking performance of coking coal by using colloidal microstructure Pending CN115508167A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211354593.2A CN115508167A (en) 2022-11-01 2022-11-01 Method for identifying coking performance of coking coal by using colloidal microstructure

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211354593.2A CN115508167A (en) 2022-11-01 2022-11-01 Method for identifying coking performance of coking coal by using colloidal microstructure

Publications (1)

Publication Number Publication Date
CN115508167A true CN115508167A (en) 2022-12-23

Family

ID=84512719

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211354593.2A Pending CN115508167A (en) 2022-11-01 2022-11-01 Method for identifying coking performance of coking coal by using colloidal microstructure

Country Status (1)

Country Link
CN (1) CN115508167A (en)

Similar Documents

Publication Publication Date Title
CN103940697B (en) A kind of blast-furnace coke reactivity method of testing
Pusz et al. Reflectance parameters of cokes in relation to their reactivity index (CRI) and the strength after reaction (CSR), from coals of the Upper Silesian Coal Basin, Poland
CN108931549B (en) Coking coal coking performance detection method
Gupta et al. Improving coke strength prediction using automated coal petrography
CN111117669B (en) Method for distinguishing classification of coking coal types and application thereof
CN103512820A (en) Determination method for coke high-temperature properties
MacPhee et al. Small scale determination of metallurgical coke CSR
CN108680699A (en) A kind of test of thermal coal flammability and evaluation method
CN115508167A (en) Method for identifying coking performance of coking coal by using colloidal microstructure
CN111241715A (en) Method for determining test parameters of combustion rate of pulverized coal injected into blast furnace under different coal ratios
CN104655819B (en) Predication method for heat reactivity of cokes
CN116479195B (en) Method for optimizing blast furnace injection coal blending based on coal rock parameters
CN110045082B (en) Method for measuring and evaluating high-temperature performance of lump coal in smelting reduction iron making
WO2024017249A1 (en) Top-charging coal blending and coking method and product thereof, and blended coal for coking
CN112507287B (en) Polymer modified asphalt compatibility design method
CN110484287B (en) Coking and coal blending method
CN112945665B (en) Evaluation method for coking contribution performance of asphalt to coal blending
CN105713632B (en) Coal blending method mainly using fat coal
CN112557238A (en) Method for detecting thermal reaction strength of smokeless lump coal
CN113817489B (en) Coal blending method based on coke optical characteristic index
CN112903512A (en) Method for measuring high-temperature reactivity and post-reaction strength of iron coke
CA3162218C (en) Method for producing coal blend and method for producing coke
CN113136236B (en) Metallurgical coke strength control method after reaction
CN107860680A (en) A kind of blast-furnace tuyere Jiao granularmetric composition and the analysis method of slag hold-up
CN109709298A (en) A kind of coke inspection by sampling and load in mixture matching method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination