CN115368917A - Method for predicting coal blending structure of tamping coke - Google Patents

Method for predicting coal blending structure of tamping coke Download PDF

Info

Publication number
CN115368917A
CN115368917A CN202210890277.0A CN202210890277A CN115368917A CN 115368917 A CN115368917 A CN 115368917A CN 202210890277 A CN202210890277 A CN 202210890277A CN 115368917 A CN115368917 A CN 115368917A
Authority
CN
China
Prior art keywords
tamping
coke
cri
temperature thermal
coal
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.)
Granted
Application number
CN202210890277.0A
Other languages
Chinese (zh)
Other versions
CN115368917B (en
Inventor
李建云
邹冲
刘智伟
尚硕华
折媛
梁栋
耿斐
董晓春
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.)
Laiwu Steel Group Yinshan Section Steel Co Ltd
Original Assignee
Laiwu Steel Group Yinshan Section Steel 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 Laiwu Steel Group Yinshan Section Steel Co Ltd filed Critical Laiwu Steel Group Yinshan Section Steel Co Ltd
Priority to CN202210890277.0A priority Critical patent/CN115368917B/en
Publication of CN115368917A publication Critical patent/CN115368917A/en
Application granted granted Critical
Publication of CN115368917B publication Critical patent/CN115368917B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • CCHEMISTRY; METALLURGY
    • C10PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10BDESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
    • C10B45/00Other details
    • C10B45/02Devices for producing compact unified coal charges outside the oven
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Algebra (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Organic Chemistry (AREA)
  • Evolutionary Biology (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Materials Engineering (AREA)
  • Coke Industry (AREA)

Abstract

The invention belongs to the field of metallurgical production, and relates to quality control and efficient utilization of blast furnace fuel, in particular to a method for predicting a tamping coke coal blending structure, which comprises the following steps: obtaining various optical tissue proportions of the tamping coke by an optical tissue method; predicting the high-temperature thermal property of the tamping coke by adopting a regression equation; and predicting the tamping coke coal blending structure according to the size of the coal blending prediction index, wherein the coal blending prediction index is the difference value of the tamping coke and the top-loaded coke on the prediction of the high-temperature thermal property. According to the method, the bulk density of the raw coal in the tamping coking process can be predicted, the blending proportion of the weak caking coal in the tamping blended coal can be judged, and the iron and steel enterprises are guided to selectively purchase the tamping coke according to the requirements from the aspects.

Description

Method for predicting coal blending structure of tamping coke
Technical Field
The invention belongs to the field of metallurgical production, and relates to quality control and efficient utilization of blast furnace fuel, in particular to a method for predicting a tamping coke coal blending structure.
Background
In recent years, tamping coking is rapidly developed as a technology capable of reducing the consumption of high-quality coking coal and reducing the coke cost. The tamping coke has the advantages of wide material selection range, obvious improvement on coke quality, high coke yield, good environmental protection effect and the like, is very in line with the characteristics of coking coal resources in China, and is supported by national policy guidance and enterprises. With the production of large stamp-charging coke ovens, the technologies of smoke abatement, dust removal, coal cake collapse prevention and the like for stamp-charging coking are obviously improved, and the stamp-charging coking technology is mature. The large increase of the yield of the tamping coke makes the use of the tamping coke in a blast furnace become a future trend. However, due to the difference of the production processes of the tamping coke and the top charging coke, the performances of the two cokes are greatly different, the difference between the common indexes and the microstructure of the two cokes and the top charging coke is large, and the using effect of the tamping coke in a blast furnace is also known as 32429and disprove. The research on the difference between the basic performances of the tamping coke and the top-loaded coke is lagged, and the quality of the tamping coke is difficult to be evaluated well by the traditional indexes.
Coal blending is the most important factor for determining the cold and hot properties, and the tamping process can improve the cold strength and the hot properties to a certain extent. Tamping coking is premised on increasing less highly cohesive inert ingredients with low deterioration without reducing coke quality. With the increase of low deterioration ratio, the volatile content of the blended coal is reduced, so that the quality of a colloid formed by the blended coal in the coking process is influenced, the quantity of the colloid is not greatly influenced, but when the traditional CRI and CSR are used for evaluating the tamping coke in the actual production, the tamping coke with similar properties is always inferior to top-loaded coke in the actual production. Today, no new evaluation criteria for stamp coke optimization are available, and some researchers and most businesses will discount 85% of stamp coke performance for evaluation. The method is characterized in that the coke quality of the same coal blending ratio is close to that of the coke of different coking processes, and the tamping process mainly improves the quality index of the coke by reducing the porosity of the coke and improving the pore structure. Therefore, the difference between the coal blending structure for tamping coking and the coal blending structure for top loading coking is not suitable to be too large.
However, in the process of using tamping coke in a large blast furnace, the thermal state performance index of part of coke is found to be poor, which is closely related to the addition of more weak caking coal, and iron and steel enterprises find a method for predicting the coal blending structure of outsourcing coke.
Disclosure of Invention
Iron and steel enterprises lack effective prediction means for coal blending structures adopted by outsourcing tamping cokes, so that the adaptability difference of different types of tamping cokes in the application process of a blast furnace is large, and the index fluctuation of the blast furnace is often caused. The invention provides a method for predicting the blending proportion of weakly caking coal and non-caking coal of tamping coke through an optical structure. Prediction of high temperature thermal properties CRI of stamp-charged coke using a proposed regression equation DZ And CRI DG Meanwhile, determining the coal blending prediction index TL according to the difference value of the high-temperature thermal property prediction of the tamping coke and the top-charging coke CRI And predicting the coal blending structure of the tamping coke according to the value.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a method for predicting a coal blending structure of tamping coke, which comprises the following steps:
obtaining various optical tissue proportions of the tamping coke by an optical tissue method;
predicting the high-temperature thermal property of the tamping coke by adopting a regression equation;
and predicting the tamping coke coal blending structure according to the coal blending prediction index, wherein the coal blending prediction index is the difference of the tamping coke and the top-charging coke on the prediction of the high-temperature thermal property.
Preferably, the optical organizing method includes:
step 1) preparing a microscope slide sample;
step 2) optical tissue determination.
Preferably, the fraction of fines less than 0.071mm in step 1) is not much more than 13-15% of the total; then taking 4-5 g of 0.071-1.0 mm grade sample for tabletting.
Preferably, the high-temperature thermal property is calculated by adopting a regression equation, wherein the regression equation is as follows:
CRI DG =770.55-76.6I-76.7M f -77M m -76.8M c -76.1F c -76.3L f
CRI DZ =1.8I+1.52M f +1.53M m +1.61M c +1.61F c +1.91L f -134.12
wherein the CRI DG CRI for high temperature thermal properties of stamp-charged coke DZ For the high temperature thermal properties of top-loading coke, I is Sigma ISO, sigma ISO is optically isotropic structure, M f For fine-grained damascene structures, M m For medium grain damascene structure, M c Is a coarse-grained mosaic structure, F c Is of fibrous structure, L f Is in a sheet structure.
Preferably, the tamping degree index TL is calculated by the high-temperature thermal property parameter CRI
TL CRI =CRI DG -CRI DZ
Preferably, the degree of tamping is classified as: TL CRI The value of 1.5-3.0 is the weak tamping degree, TL CRI A value of 3.1 to 5.0 is a medium tamping degree, TL CRI Values greater than 5.1 are strong tamping degrees.
Specifically, the invention provides a method for predicting the high-temperature thermal property and tamping degree of tamping coke, and the experimental steps comprise preparation of a microscope light sheet sample, optical tissue determination and CRI (criterion of high-temperature thermal property) by adopting a proposed regression equation DG And CRI DZ Calculating, and obtaining coal blending prediction index TL by using the proposed calculation formula CRI . Look-up tables are used to predict the bulk density of coke coal entering the furnace and the total ratio of weakly caking coal and non-caking coal. The method comprises the following specific steps:
(1) Samples of the microscope slides were made. Referring to the national standard coal rock analysis sample preparation method (GBT 16773-2008), manufacturing a polished section for optical tissue quantification; specifically, the sample crushed to 1mm is mixed evenly, 40-50 g is separated, the granularity must be less than 1.0mm (square hole sieve), and the fine particles with the grade less than 0.071mm are discarded. But should not be over crushed requiring less than 0.071mm grade fines to be much less than 15% of the total. Taking 4-5 g of 0.071-1.0 mm grade sample for tabletting. The diameter of the powder light collecting sheet is 28mm, wherein the volume occupied by the cement is less than 1/3. The polished surface is smooth and clean, no obvious pits, no scratches and dirt exist, and the interface of the optical tissue is clear and has clear characteristics;
(2) The optical organization of the slide was observed. Optical tissue quantification is carried out by referring to a method for measuring the optical tissue of the coke YB T077-1995 to obtain the proportion of each optical tissue of the coke. Specifically, the microscope is adjusted, a sample is placed on a slide glass with daub, flattened and placed on an objective table for focusing, and the center of an objective lens is corrected. The light source, the aperture light periphery and the view city light periphery are adjusted, so that the vision field brightness is moderate, the light rays are uniform, and the imaging is clear. And adjusting the polarizer and the analyzer to be orthogonal. A gypsum inspection board (1 lambda) is inserted to make the visual field show a first-grade red interference color. And determining the step length of the movable ruler, observing 900 points in the range of 30mm multiplied by 30mm, and enabling 900 points in each group to be uniformly distributed on the whole piece, wherein the point distance is about 1mm. Starting from one end of the sample, the optical tissues of the substances (classified in table 1) below the intersection point of the cross hairs are identified and recorded in the corresponding counting key, and then the optical tissues are moved by one step along a fixed direction according to a preset step length, and if the optical tissues meet the cement, the air holes and the cracks, the cell cavities in the optical tissues are used as invalid points and are not counted. When the cross hair falls on the boundary of different optical tissues, the tissues in the quadrant without boundary line are selected in clockwise direction starting from the upper right quadrant. When one line measurement is finished, one line is moved at a predetermined line pitch, and the measurement of the line is continued until the measurement points are all spread over the entire sheet. The judgment is as shown in table 1:
TABLE 1 Coke optical texture classification
Figure RE-GDA0003897960810000031
Figure RE-GDA0003897960810000041
(3) CRI for high temperature thermal properties using proposed regression equations DG And CRI DZ And (6) performing calculation. The regressed optical tissue assigned parameters are shown in table 2. Respectively substituting the optical tissue ratios of coke into formula 1 and formula 2 to obtain predicted values of high temperature thermal properties, wherein CRI DG And CRI DZ Respectively, the high temperature reactivity of the stamp-charged coke and the top-charged coke. The error range of the high-temperature thermal property index of the tamping coke can be predicted to be within 14 percent by the method.
TABLE 2 optical organization assignment parameter Table
Figure RE-GDA0003897960810000042
CRI DG =770.55-76.6I-76.7M f -77M m -76.8M c -76.1F c -76.3L f (formula 1)
CRI DZ =1.8I+1.52M f +1.53M m +1.61M c +1.61F c +1.91L f -134.12 (equation 2)
Formula I-Sigma ISO (optical isotropy organization)
M f -fine grain damascene structure
M m -medium grain mosaic structure
M c Coarse grain mosaic structure
F c -fibrous structures
L f -sheet-like structure
Specifically, the formula 1 and the formula 2 are obtained by performing multivariate linear fitting on the quantitative results of the optical tissues of the tamping coke and the top-loading coke from different sources and the thermal state performance CRI thereof.
(4) The coal blending prediction index TL is obtained by adopting the proposed calculation formula CRI . Because the optical structure ratio of the coke is less influenced by the coke making process, the quantitative results of the optical structure of the coke are respectively substituted into the hot state performance prediction formulas of tamping coke and top charging coke, so that the hot state performance and the hot state performance of the coke obtained by using different coke making processes can be approximately predictedThe energy difference directly reflects the coal blending condition of the tamping coke. The specific method comprises the steps of calculating the high-temperature thermal property parameter in the step (3) to obtain a coal blending prediction index TL CRI This value represents the effect of the tamping process on reactivity, calculated using equation 3,
TL CRI =CRI DG -CRI DZ (formula 3)
TL CRI A larger value indicates a higher degree of tamping by the tamping process, i.e. a higher proportion of weakly caking coal. TL is the condition that the high-temperature thermal property of certain tamping coke is better CRI Lower values suggest less blending of weakly caking coal in the coking blend. TL CRI The value is generally 1.5 to 9.0. The degree of tamping can be classified as: the weak tamping degree is 1.5-3.0, the medium tamping degree is 3.1-5.0, and the strong tamping degree is more than 5.1.
(5) The prediction modes of the entering-furnace weakly caking coal and the non-caking coal through the coal blending prediction index are table look-up, and are specifically shown in table 3.
TABLE 3 prediction relationship table between tamping strength prediction index and weakly caking and non-caking coals
Figure RE-GDA0003897960810000051
The beneficial effects of the invention are as follows:
the method can predict the bulk density of the raw coal in the tamping coking process, judge the blending proportion of the weakly caking coal in the tamping blended coal and guide iron and steel enterprises to selectively purchase the tamping coke according to the requirements.
Detailed Description
In order that the present invention may be more clearly understood, the following detailed description of the present invention is given with reference to specific examples.
(1) Samples of the microscope slides were made. Referring to the national standard coal rock analysis sample preparation method (GBT 16773-2008), manufacturing a polished section for optical tissue quantification; specifically, the sample crushed to 1mm is mixed uniformly, 40-50 g is separated, the granularity must be less than 1.0mm (square hole sieve), and the fine particles with the size less than 0.071mm are discarded. But should not be over crushed requiring less than 0.071mm grade fines to be much less than 15% of the total. Taking 4-5 g of 0.071-1.0 mm grade sample for tabletting. The diameter of the powder light collecting sheet is 28mm, wherein the volume occupied by the cement is less than 1/3. The polished surface is smooth and clean, no obvious pits, no scratches and dirt exist, and the interface of the optical tissue is clear and has clear characteristics;
(2) The optical organization of the slide was observed. Optical tissue quantification is carried out by referring to a method for measuring the optical tissue of the coke YB T077-1995 to obtain the ratio of each optical tissue of the coke. Specifically, the microscope is adjusted, a sample is placed on a slide glass with daub, flattened and placed on an objective table for focusing, and the center of an objective lens is corrected. The light source, the aperture light periphery and the view city light periphery are adjusted, so that the vision field brightness is moderate, the light rays are uniform, and the imaging is clear. And adjusting the polarizer and the analyzer to be orthogonal. The gypsum board (1 lambda) is inserted to make the visual field show a first red interference color. And determining the step length of the movable ruler, observing 900 points in the range of 30mm multiplied by 30mm, and enabling 900 points in each group to be uniformly distributed on the whole piece, wherein the point distance is about 1mm. Starting from one end of the sample, the optical tissues of the substances (classified in table 1) below the intersection point of the cross hairs are identified and recorded in the corresponding counting key, and then the optical tissues are moved by one step along a fixed direction according to a preset step length, and if the optical tissues meet the cement, the air holes and the cracks, the cell cavities in the optical tissues are used as invalid points and are not counted. When the cross hair falls on the boundary of different optical tissues, the tissues in the quadrant without boundary line are selected in clockwise direction starting from the upper right quadrant. When one-line measurement is finished, one line is moved at a predetermined line pitch, and measurement of the line is continued until the measurement points are all over the entire sheet.
(3) CRI for high temperature thermal properties using proposed regression equations DG And CRI DZ And (6) performing calculation. The regressed optical tissue assigned parameters are shown in table 2. Respectively substituting the optical tissue ratios of coke into formula 1 and formula 2 to obtain predicted values of high temperature thermal properties, wherein CRI DG And CRI DZ Respectively, the high temperature reactivity of the stamp-charged coke and the top-charged coke. The error range of the high-temperature thermal property index of the tamping coke can be predicted to be within 14 percent by the method.
(4) The coal blending index is obtained by adopting the proposed calculation formulaNumber TL CRI . Because the optical structure ratio of the coke is less influenced by the coke making process, the quantitative results of the optical structure of the coke are respectively substituted into the hot state performance prediction formulas of the tamping coke and the top charging coke, the hot state performance of the coke obtained by using different coke making processes can be approximately predicted, and the difference value of the performance directly reflects the coal blending condition of the tamping coke. The specific method comprises the steps of calculating the high-temperature thermal property parameter in the step (3) to obtain a coal blending prediction index TL CRI This value represents the effect of the tamping process on reactivity, which is calculated using equation 3.
TL CRI A larger value indicates a higher degree of tamping by the tamping process, i.e. a higher proportion of weakly caking coal. TL is the index of the high-temperature thermal property of certain tamping coke CRI Lower values suggest less blending of weakly caking coal in the coking blend. TL CRI The value is generally 1.5 to 9.0. The degree of tamping can be classified as: the weak tamping degree is 1.5-3.0, the medium tamping degree is 3.1-5.0, and the strong tamping degree is more than 5.1.
(5) The prediction method of the charging weakly caking coal and the non-caking coal through the tamping degree index is table look-up, and is specifically shown in table 3.
The following examples are carried out on the premise of the technical scheme of the invention, and detailed embodiments and specific operation processes are given, but the scope of the invention is not limited by the following examples. The methods used in the following examples are conventional methods unless otherwise specified.
The embodiment is as follows:
(1) Samples of the microscope slides were made. Making a polished section for optical tissue quantification of the tamping coke according to the national standard coal rock analysis sample preparation method (GBT 16773-2008); specifically, the sample crushed to 1mm is mixed uniformly, 40-50 g is separated, the granularity must be less than 1.0mm (square hole sieve), and the fine particles with the size less than 0.071mm are discarded. But should not be over-milled, requiring less than 0.071mm size fraction of fines less than much than 15% of the total. Taking 4-5 g of 0.071-1.0 mm grade sample for tabletting. The diameter of the powder light collecting sheet is 28mm, wherein the volume occupied by the cement is less than 1/3. The polished surface is smooth and clean, no obvious pits, no scratches and dirt exist, and the interface of the optical tissue is clear and has clear characteristics;
(2) The optical texture of the polished section of the stamp-charged coke was observed. Optical tissue quantification is carried out by referring to a method for measuring the optical tissue of the coke YB T077-1995 to obtain the ratio of each optical tissue of the coke. Specifically, the microscope is adjusted, a sample is placed on a slide glass with daub, flattened and placed on an objective table for focusing, and the center of an objective lens is corrected. The light source, the aperture light periphery and the view city light periphery are adjusted, so that the vision field brightness is moderate, the light rays are uniform, and the imaging is clear. And adjusting the polarizer and the analyzer to be orthogonal. A gypsum inspection board (1 lambda) is inserted to make the visual field show a first-grade red interference color. And determining the step length of the movable ruler, observing 900 points in the range of 30mm multiplied by 30mm, and enabling 900 points in each group to be uniformly distributed on the whole piece, wherein the point distance is about 1mm. Starting from one end of the sample, identifying which optical tissue the substance (classified in table 1) under the cross-hair intersection belongs to, recording the optical tissue into the corresponding counting key, then moving one step along a fixed direction according to a preset step length, and if the substance meets the cement, the air hole and the crack, taking the cell cavity in the optical tissue as an invalid point, not counting. When the cross hair falls on the boundary of different optical tissues, the tissues in the quadrant without boundary line are selected in clockwise direction starting from the upper right quadrant. When one line measurement is finished, one line is moved at a predetermined line pitch, and the measurement of the line is continued until the measurement points are all spread over the entire sheet.
(3) CRI for high temperature thermal properties using proposed regression equations DG And CRI DZ And (4) performing calculation. The regressed optical tissue assigned parameters are shown in table 2. The ratio of each optical tissue of the coke is respectively substituted into a formula 1 and a formula 2 to obtain the CRI with high-temperature thermal property DG And CRI DZ 23.7 and 24.7.
(4) Calculating to obtain tamping degree index TL CRI Is 1.0. According to TL CRI The strength was judged to be weak tamping strength.
(5) Using TL CRI A table look-up 3 shows that the mixture ratio of the weak caking coal and the non-caking coal is less than 16 percent.
According to the judgment, less low-caking coal is added in the tamping coke production process, the tamping strength is lower, the better high-temperature thermal property is not at the cost of adding and sacrificing the main coke coal proportion, and the adverse disturbance to the blast furnace production is not expected to be brought on the premise of meeting the index of the existing blast furnace charging coke. Those skilled in the art will recognize that the invention may be practiced without these specific details.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and are not limited. Although the present invention has been described in detail with reference to the embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (6)

1. A method of predicting a stamp-charged coke coal blending structure, comprising:
obtaining various optical tissue proportions of the tamping coke by an optical tissue method;
predicting the high-temperature thermal property of the tamping coke by adopting a regression equation;
and predicting the tamping coke coal blending structure according to the size of the coal blending prediction index, wherein the coal blending prediction index is the difference value of the tamping coke and the top-loaded coke on the prediction of the high-temperature thermal property.
2. The prediction method according to claim 1, wherein the optical organizing method comprises:
step 1) preparing a microscope slide sample;
step 2) optical tissue determination.
3. The prediction method according to claim 2, characterized in that the fraction of fines less than 0.071mm in step 1) is not much more than 13-15% of the total; then taking 4-5 g of 0.071-1.0 mm grade sample for tabletting.
4. The prediction method of claim 1, wherein the high temperature thermal property is calculated using a regression equation:
CRI DG =770.55-76.6I-76.7M f -77M m -76.8M c -76.1F c -76.3L f
CRI DZ =1.8I+1.52M f +1.53M m +1.61M c +1.61F c +1.91L f -134.12
wherein the CRI DG CRI for high temperature thermal properties of stamp-charged coke DZ For the high temperature thermal properties of top-loading coke, I is Sigma ISO, sigma ISO is optically isotropic structure, M f For fine-grained damascene structures, M m For medium grain damascene structure, M c Is a coarse-grained mosaic structure, F c Is of fibrous structure, L f Is in a sheet structure.
5. The prediction method according to claim 4, characterized in that the tamping degree index TL is calculated by the high temperature thermal property parameter CRI
TL CRI =CRI DG -CRI DZ
6. The prediction method according to claim 5, wherein the degree of tamping is classified as: TL CRI The value of 1.5-3.0 is the weak tamping degree, TL CRI The value of 3.1-5.0 is the medium tamping degree, TL CRI Values greater than 5.1 are strong tamping degrees.
CN202210890277.0A 2022-07-27 2022-07-27 Method for predicting tamping coke coal blending structure Active CN115368917B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210890277.0A CN115368917B (en) 2022-07-27 2022-07-27 Method for predicting tamping coke coal blending structure

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210890277.0A CN115368917B (en) 2022-07-27 2022-07-27 Method for predicting tamping coke coal blending structure

Publications (2)

Publication Number Publication Date
CN115368917A true CN115368917A (en) 2022-11-22
CN115368917B CN115368917B (en) 2023-10-13

Family

ID=84064519

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210890277.0A Active CN115368917B (en) 2022-07-27 2022-07-27 Method for predicting tamping coke coal blending structure

Country Status (1)

Country Link
CN (1) CN115368917B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016069469A (en) * 2014-09-29 2016-05-09 新日鐵住金株式会社 Estimation method for coke strength
CN110484288A (en) * 2019-08-23 2019-11-22 山西沁新能源集团股份有限公司 A kind of method of coke making and coal blending
KR20210079724A (en) * 2019-12-20 2021-06-30 현대제철 주식회사 Prediction method for cold strength of coke
CN113322085A (en) * 2021-07-02 2021-08-31 攀钢集团攀枝花钢钒有限公司 Coal cake production method for tamping coking
CN113462419A (en) * 2021-06-30 2021-10-01 武汉钢铁有限公司 Blending method of low-volatile-component weak-caking bituminous coal
CN113836786A (en) * 2021-08-03 2021-12-24 包头钢铁(集团)有限责任公司 Intelligent metallurgical coke prediction method combining coke oven heating system parameters
CN114774150A (en) * 2022-04-29 2022-07-22 包头钢铁(集团)有限责任公司 Method for reducing heat consumption of tamping coke oven

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016069469A (en) * 2014-09-29 2016-05-09 新日鐵住金株式会社 Estimation method for coke strength
CN110484288A (en) * 2019-08-23 2019-11-22 山西沁新能源集团股份有限公司 A kind of method of coke making and coal blending
KR20210079724A (en) * 2019-12-20 2021-06-30 현대제철 주식회사 Prediction method for cold strength of coke
CN113462419A (en) * 2021-06-30 2021-10-01 武汉钢铁有限公司 Blending method of low-volatile-component weak-caking bituminous coal
CN113322085A (en) * 2021-07-02 2021-08-31 攀钢集团攀枝花钢钒有限公司 Coal cake production method for tamping coking
CN113836786A (en) * 2021-08-03 2021-12-24 包头钢铁(集团)有限责任公司 Intelligent metallurgical coke prediction method combining coke oven heating system parameters
CN114774150A (en) * 2022-04-29 2022-07-22 包头钢铁(集团)有限责任公司 Method for reducing heat consumption of tamping coke oven

Also Published As

Publication number Publication date
CN115368917B (en) 2023-10-13

Similar Documents

Publication Publication Date Title
CN111121646A (en) Method for detecting width of microcrack in transition zone of interface of reclaimed rubber concrete
CN104484495B (en) The Forecasting Methodology of coke size
Gupta et al. Improving coke strength prediction using automated coal petrography
Ghosh et al. Influence of coke structure on coke quality using image analysis method
DE112009004278B4 (en) Method for producing a tile and tile
Nyathi et al. Nature and origin of coke quality variation in heat-recovery coke making technology
Kubota et al. Effects of coal inertinite size on coke strength
CN111160064A (en) Coal rock component identification method
CN104655818A (en) Prediction method of crushing strength of coke for coal blending coking
CN115368917A (en) Method for predicting coal blending structure of tamping coke
CN111505052A (en) Method for measuring surface crack characteristics of coking coal in coking process by using infrared imaging technology
CN116479195B (en) Method for optimizing blast furnace injection coal blending based on coal rock parameters
Sharma et al. Effect of coke micro-textural and coal petrographic properties on coke strength characteristics
CN115310790A (en) Prediction method of tamping coke production process
CN104678075B (en) The Forecasting Methodology of coal-blending coking coke scuff resistance
KR101100537B1 (en) Method for predicting of drum index of cokes
KR102299553B1 (en) Prediction method for cold strength of coke
CN113817489B (en) Coal blending method based on coke optical characteristic index
Lefrank et al. Correlation of structural SEM data of cokes with graphite electrode performance
CN116840224A (en) Thermal property prediction method of multi-source mixed coke
CN113136236B (en) Metallurgical coke strength control method after reaction
Yadav et al. Effect of carbonisation time at stamp charged battery on properties of blast furnace coke
CN114660261A (en) Method for determining low-cost coal blending proportion by adopting coke microstructure detection and analysis
CN115725314B (en) Method for regulating and controlling broken granularity of high-volatile coking coal to participate in coal blending coking
CN115326852A (en) Method for predicting weak caking coal ratio in tamping coke

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
GR01 Patent grant
GR01 Patent grant