CN104678075A - Predicating method for abrasive resistance of coal-blending coking coke - Google Patents
Predicating method for abrasive resistance of coal-blending coking coke Download PDFInfo
- Publication number
- CN104678075A CN104678075A CN201510077056.1A CN201510077056A CN104678075A CN 104678075 A CN104678075 A CN 104678075A CN 201510077056 A CN201510077056 A CN 201510077056A CN 104678075 A CN104678075 A CN 104678075A
- Authority
- CN
- China
- Prior art keywords
- coal
- coke
- coking
- blending
- component
- 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
Links
Landscapes
- Coke Industry (AREA)
Abstract
The invention discloses a predicating method for abrasive resistance of coal-blending coking coke. The predicating method comprises the following steps: (1) measuring an ash composition, a coke-forming optical tissue structure and a vitrinite mean maximum reflectance of each single coal for coking, calculating or counting the following indexes: a coal-blending mineral substance index MCI, sum N of content of a coarse-grain inlaying component, a medium-grain inlaying component and an incomplete fiber component in the coal blending, sum N of contents of an isotropous component and a fine-grain inlaying component, proportion P of lean coals with reflectance Rmax larger than and equal to 1.65 in themixed coal; (2) setting M10=A+B*MCI+C*M+E*N+F*P, wherein M10 is the abrasive resistance of the coke, unit being %; A, B, C, E and F are constants; and (3) calculating to obtain the predicated abrasive resistance value M10 of the coke. According to the predicating method disclosed by the invention, through few influence factors and simple predicating formulas, the abrasive resistance of the coke can be predicated very well under the condition without coal-blending coking test, so that the predication precision can be within +/-0.3%, and the coke-blending practice can be guided very well.
Description
Technical field
The invention belongs to metallurgical coking technology field, be specifically related to a kind of Forecasting Methodology of coal-blending coking coke scuff resistance.
Background technology
Coke take carbon as the irregular porous body containing crackle and defect of principal ingredient.The number of coke button micro-crack, the hole spore structure of burnt body and the scuff resistance of coke and high temperature reactivity have substantial connection.Hole spore structure uses the porosity, pore mean diameter, pore diameter distribution, pore wall thickness and specific surface area isoparametric formulations usually.
The Forecasting Methodology of current STRENGTH ON COKE scuff resistance mainly contains:
1) by functions such as regress, robustfit in MATLAB environment to each index of coking mixed coal as ash content (A
d), volatile matter (V
daf), caking index (G) and thickness of colloidal matter layer (Y) etc. carry out regretional analysis, compare and sum up; The forecast model of mixed coal ature of coal prediction coke quality is established with multiple linear regression analysis method.
This Forecasting Methodology has the following disadvantages: 1. coke is as a kind of solid material, its physicochemical property and Microscopic optical institutional framework closely related, mixed coal index volatile matter (V selected by said method
daf), caking index (G) and thickness of colloidal matter layer (Y) be apparent technological property index, reckon without each single grade coal coking optical texture participating in coking, there is limitation.2. mixed coal ash content (A is adopted
d) there is following problem as coke scuff resistance prediction index: the mechanism that ash content affects coke scuff resistance is mainly when coke porous body at high temperature shrinks, and mineral particle but has the direction differential expansion stress contrary with differential contraction stress direction and produces radioactivity crackle as center.And the mineral matter in mixed coal ash content comprises metal oxide and nonmetal oxide, due to metal and the nonmetal difference with obvious thermal expansivity, even if some coking coal ash value is identical, but the difference that the difference due to contained metal oxide content can cause the coke scuff resistance caused due to ash content factor to change, therefore with mixed coal ash content A
dprediction coke strenth obviously lacks science.
2) by small coke oven Coking Test for Blend, adjustment blending ratio, investigates the scuff resistance of test coke, and according to the corresponding adjustment Blending of test findings, obtains suitable blending ratio.The shortcoming of the method is that experiment work amount is large, and the cycle is long.
3) using carbonization chamber standard temperature as coke wearing quality predictor, and once grope to obtain optimum coke furnace carbonization chamber standard temperature in coking practice, just for a long time produce by this temperature, this factor is not Chang Bianliang, therefore has little significance as predictor.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of Forecasting Methodology of coal-blending coking coke scuff resistance, and the method is by selecting suitable influence factor, and set up forecast model, STRENGTH ON COKE scuff resistance is predicted.
For solving the problems of the technologies described above, the technical solution used in the present invention comprises the steps:
1) measure the coking ash component of each single grade coal, calculate mixed coal mineral matter index M CI;
2) measure coking each single grade coal coking optical texture, the coarse grain calculated in mixed coal is inlayed, middle grain inlays and inlay component concentration sum N with incomplete fibre fractionation content three sum M and isotropy component and particulate;
3) measure the coking average maximum reflectivity of the vitrinite of each single grade coal, statistics obtains reflectivity in mixed coal
the allocation ratio P of lean coal;
4) M is set
10=A+B*MCI+C*M+E*N+F*P, wherein M
10represent coke scuff resistance, unit is %; A, B, C, E, F are constant;
5) according to step 4) formulae discovery obtain coke scuff resistance predicted value M
10.
The present invention has following beneficial effect:
1) the present inventor finds through long-term research: 1. mixed coal mineral index: this index is higher, show that in mixed coal, metal oxide content is higher, more easily form radiological predication fallout plot crackle in Semicoke Contraction process, be unfavorable for the raising of coke scuff resistance; 2. coarse grain is inlayed, middle grain inlays and incomplete fibre fractionation content: coarse grain is inlayed, middle grain is inlayed and incomplete fibre fractionation pore wall thickness, and molecule synusia is irregular alignment, can hinder the expansion of crackle, is conducive to the raising of coke scuff resistance; 3. isotropy component and particulate inlay component concentration: isotropy component and particulate are inlayed each structural unit of component and to be aligned and adhesion is relatively weak, and not wear-resisting, crackle easily extends, and STRENGTH ON COKE scuff resistance is unfavorable; 4. reflectivity
the allocation ratio of lean coal: reflectivity
the burnt matter that formed of lean coal in the more probability in the thinner and crack of air vent wall comparatively large, be unfavorable for the improvement of coke wearing quality.Accordingly, we have established the mineral matter index in coke scuff resistance and mixed coal, coarse grain is inlayed, middle grain inlays and incomplete fiber content sum, the same sex and particulate inlay content sum, and reflectivity
the allocation ratio of lean coal is the dependent equation of key influence factor, and predictor formula is simple, lower to the requirement of applying unit human and material resources condition; Without the need to carrying out Coking Test for Blend, significantly shorten the coal blending cycle.
2) the coke scuff resistance that the coke scuff resistance adopting the inventive method computational prediction to obtain and testing obtains or the compatible degree of actual production gained coke scuff resistance is high, precision of prediction ± 0.3%.
Embodiment
Below in conjunction with embodiment, the present invention is further detailed explanation.
Method of the present invention comprises the steps:
1) measure each single grade coal ash component of coking, calculate mixed coal mineral matter index M CI;
2) measure each single grade coal coking optical texture of coking, the coarse grain calculated in mixed coal is inlayed, middle grain is inlayed and inlayed component concentration sum N with incomplete fibre fractionation content three sum M, isotropy component and particulate;
3) measure the coking average maximum reflectivity of the vitrinite of each single grade coal, statistics obtains reflectivity in mixed coal
the allocation ratio P of lean coal;
4) M is set
10=A+B*MCI+C*M+E*N+F*P, wherein M
10represent coke scuff resistance, unit is %; A, B, C, E, F are constant, can draw by five groups of Coking Test for Blends or actual production data are substituted into this formulae discovery;
5) according to step 4) formulae discovery obtain coke scuff resistance predicted value M
10.
If the coke scuff resistance predicted value M calculated
10the needs of blast fumance can not be met, then further optimizing blending plan, again according to step 1) ~ 5) calculate coke scuff resistance predicted value M
10, until the coke scuff resistance predicted value M calculated
10the needs of blast fumance can be met, just this Blending is defined as actual Coal Blending Schemes.
Table 1 is five groups of test figures of Coking Test for Blend, for obtaining constant A, B, C, E, F value in predictor formula.
Utilize five groups of test figures in table, in application Origin software, Analysis-fitting-Multiple Linear Regression instrument carries out matching, obtains the solution of multi head linear equation:
A＝4.630，B＝0.462，C＝﹣0.0938，E＝0.0479，F＝0.214
Then coke scuff resistance predictive equation is:
M
10＝4.630+0.462*MCI﹣0.0938*M+0.0479*N+0.214*P
Above-mentioned formula his-and-hers watches 2 embodiment 1 ~ 3 Coal Blending Schemes institute coking charcoal scuff resistance is utilized to predict, obtain predicted value and be respectively 6.67%, 7.67% and 6.17%, measure through actual coking, obtain the actual scuff resistance of coke and be respectively 6.78%, 7.45% and 5.90%.Actual value and predicted value are very close.
What deserves to be explained is: 1) although five different assembly coal coking test figures can make constant A, B, C, E, F value slightly difference of trying to achieve, but can't affect the precision of the coke scuff resistance utilizing this formulae discovery to try to achieve, accuracy rating is all within ± 0.3% relative to test and the coke scuff resistance that obtains of actual production; 2) although the single grade coal coal identical (being namely all coking coal, 1/3 coking coal, rich coal, lean coal and bottle coal) that in this embodiment, five groups of Coking Test for Blends adopt, ature of coal are slightly different, but in fact, often organize ature of coal between test, coal is same or different, the numerical value of five constants A, B, C, E, F trying to achieve can't affect being suitable for of this formula; 3) same, in the Coal Blending Schemes of embodiment 1 ~ 3, single grade coal, when all different from the coal of arbitrary battery of tests, ature of coal, can be suitable for formula of the present invention too.
Five groups of test figures of table 1 Coking Test for Blend
The Coal Blending Schemes of table 2 embodiment 1 ~ 3
Claims (1)
1. a Forecasting Methodology for coal-blending coking coke scuff resistance, is characterized in that: the method comprises the following steps:
1) measure the coking ash component of each single grade coal, calculate mixed coal mineral matter index M CI;
2) measure coking each single grade coal coking optical texture, the coarse grain calculated in mixed coal is inlayed, middle grain inlays and inlay component concentration sum N with incomplete fibre fractionation content three sum M and isotropy component and particulate;
3) measure the coking average maximum reflectivity of the vitrinite of each single grade coal, statistics obtains reflectivity in mixed coal
rthe allocation ratio P of max>=1.65% lean coal;
4) M is set
10=A+B*MCI+C*M+E*N+F*P, wherein M
10represent coke scuff resistance, unit is %; A, B, C, E, F are constant;
5) according to step 4) formulae discovery obtain coke scuff resistance predicted value M
10.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510077056.1A CN104678075B (en) | 2015-02-13 | 2015-02-13 | The Forecasting Methodology of coal-blending coking coke scuff resistance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510077056.1A CN104678075B (en) | 2015-02-13 | 2015-02-13 | The Forecasting Methodology of coal-blending coking coke scuff resistance |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104678075A true CN104678075A (en) | 2015-06-03 |
| CN104678075B CN104678075B (en) | 2016-04-20 |
Family
ID=53313421
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510077056.1A Active CN104678075B (en) | 2015-02-13 | 2015-02-13 | The Forecasting Methodology of coal-blending coking coke scuff resistance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104678075B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106547935A (en) * | 2015-09-16 | 2017-03-29 | 华北理工大学 | A kind of method for building up of smelter coke stomatal apparatus type forecast model |
| 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 |
| CN113136236A (en) * | 2020-01-17 | 2021-07-20 | 宝山钢铁股份有限公司 | Metallurgical coke strength control method after reaction |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0269312A (en) * | 1988-09-02 | 1990-03-08 | Nippon Steel Corp | Production of activated coke |
| JP2616294B2 (en) * | 1991-08-02 | 1997-06-04 | 住友金属工業株式会社 | Quality improvement method of metallurgical coke |
| CN103454395A (en) * | 2013-08-23 | 2013-12-18 | 安阳钢铁股份有限公司 | Coke quality prediction method in coal silo mode |
| CN103853915A (en) * | 2014-01-14 | 2014-06-11 | 辽宁科技大学 | Method for predicting coke quality through coking coal nonlinear optimization coal blending |
| CN104330542A (en) * | 2014-11-10 | 2015-02-04 | 武汉钢铁(集团)公司 | Coal quality evaluating method and distributing method of highly-metamorphic coking coal based on coke optical texture structure |
-
2015
- 2015-02-13 CN CN201510077056.1A patent/CN104678075B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0269312A (en) * | 1988-09-02 | 1990-03-08 | Nippon Steel Corp | Production of activated coke |
| JP2616294B2 (en) * | 1991-08-02 | 1997-06-04 | 住友金属工業株式会社 | Quality improvement method of metallurgical coke |
| CN103454395A (en) * | 2013-08-23 | 2013-12-18 | 安阳钢铁股份有限公司 | Coke quality prediction method in coal silo mode |
| CN103853915A (en) * | 2014-01-14 | 2014-06-11 | 辽宁科技大学 | Method for predicting coke quality through coking coal nonlinear optimization coal blending |
| CN104330542A (en) * | 2014-11-10 | 2015-02-04 | 武汉钢铁(集团)公司 | Coal quality evaluating method and distributing method of highly-metamorphic coking coal based on coke optical texture structure |
Non-Patent Citations (2)
| Title |
|---|
| 梁尚国等: "武钢干、湿法熄焦焦炭性能对比研究", 《钢铁》 * |
| 郑海兰等: "煤岩分析在炼焦生产中的应用研究", 《中国冶金》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106547935A (en) * | 2015-09-16 | 2017-03-29 | 华北理工大学 | A kind of method for building up of smelter coke stomatal apparatus type forecast model |
| CN106547935B (en) * | 2015-09-16 | 2019-12-20 | 华北理工大学 | Method for establishing metallurgical coke air hole characteristic parameter prediction model |
| 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 |
| CN113136236A (en) * | 2020-01-17 | 2021-07-20 | 宝山钢铁股份有限公司 | Metallurgical coke strength control method after reaction |
| CN113136236B (en) * | 2020-01-17 | 2021-11-16 | 宝山钢铁股份有限公司 | Metallurgical coke strength control method after reaction |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104678075B (en) | 2016-04-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104655818B (en) | The Forecasting Methodology of coal-blending coking coke shatter strength | |
| CN104484495A (en) | Coke particle size prediction method | |
| CN104678075B (en) | The Forecasting Methodology of coal-blending coking coke scuff resistance | |
| CN102816577B (en) | Coal-rock blending method suitable for tamping coking | |
| CN102690669B (en) | Coking coal quality classification method and coal blending and coking method with participation of coking coal | |
| CN105316017B (en) | A kind of Blending of Coal Petrography method using coal for coking vitrinite reflectance as leading indicator | |
| CN103940973A (en) | Quantitative quality evaluation method for coking coal | |
| CN109102035B (en) | Clustering analysis-based coking coal multi-dimensional index similarity refined classification method | |
| Nomura et al. | Effect of coke contraction on mean coke size | |
| CN104655819B (en) | Predication method for heat reactivity of cokes | |
| Tonekaboni et al. | Mathematical modelling of plasticity and phenotype switching in cancer cell populations | |
| CN107525882B (en) | A method of prediction sulfur content in coke | |
| Kumar et al. | Variability in metallurgical coke reactivity index (CRI) and coke strength after reaction (CSR): An experimental study | |
| Nasirudeen et al. | Quality of some Nigerian coals as blending stock in metallurgical coke production | |
| Chen | Study on integrated classification system for Chinese coal | |
| CN104804755A (en) | Coal blending method for coking 1/3 coking coal having solid softening temperature interval below 85 DEG C | |
| CN101864323B (en) | Coal blending and coking method for utilizing coal petrography to produce coke with low reactivity and high heat intensity | |
| CN109294608A (en) | A kind of coal quality classification method of coking coal and the coke making and coal blending method of participation | |
| KR101100589B1 (en) | Method for predicting of coke strength after reaction | |
| CN105713632B (en) | Coal blending method mainly using fat coal | |
| CN104951849A (en) | Prediction method of coke thermal performance | |
| CN110964552B (en) | Method for classifying main mixed coking coal for coking | |
| Belousova et al. | The analysis of the influence of manufacturing practice of anode paste on its consumption | |
| CN107557042B (en) | The method of high mixture ratio weakly caking coal control coke quality | |
| CN107860680A (en) | A kind of blast-furnace tuyere Jiao granularmetric composition and the analysis method of slag hold-up |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20170728 Address after: 430083, Hubei Wuhan Qingshan District Factory No. 2 Gate joint stock company organs Patentee after: Wuhan iron and Steel Company Limited Address before: 430080 Wuchang, Hubei Friendship Road, No. A, block, floor 999, 15 Patentee before: Wuhan Iron & Steel (Group) Corp. |