Method for predicting coking rate of foundry coke
By calculating the cyclocondensation index of the coal fed into the furnace and using a multiple linear regression model, the problem of accuracy in predicting the coking rate of foundry coke was solved, achieving high-precision coking rate prediction with strong adaptability and reduced production costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-15
- Publication Date
- 2026-03-31
AI Technical Summary
Existing technologies cannot accurately predict the coking rate of foundry coke. Traditional methods are greatly limited by region and coal type, and mathematical models are difficult to describe complex relationships, resulting in large prediction errors.
By calculating the cyclocondensation index of the coal fed into the furnace, and combining it with the content of volatile matter, carbon, and hydrogen, a prediction model is established using multiple linear regression to accurately predict the coking rate of foundry coke.
It improves the accuracy of coking rate prediction, with the error controlled within ±2%, and is highly adaptable to different types of coal fed into the furnace, thus reducing production costs.
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Abstract
Description
Technical Field
[0001] This invention belongs to the field of foundry coke production technology, specifically a method for predicting the coke yield of foundry coke. Background Technology
[0002] Foundry coke is the primary fuel for smelting iron in blast furnaces and plays a crucial role in the foundry industry. It requires high quality, exhibiting characteristics such as large particle size, low reactivity, low porosity, sufficient impact crushing strength, and low ash and sulfur content. Currently, foundry coke production typically takes place in chamber coking ovens through processes such as coal blending. However, accurately predicting the coking yield of foundry coke during coal blending and coking remains a challenge within the industry. Traditional coal blending methods largely rely on production experience, using volatile matter (Vdaf) to characterize coal rank, maximum plastic layer thickness (Y) to represent coking properties, and caking index (G) to guide blending. However, these methods are limited by region and coal type, and conventional blending uses a weighted average method to calculate the analytical data of blended coals, failing to consider the impact of the coal's intrinsic quality on coke quality. Furthermore, existing research shows that blended coals composed of two coals with different volatile matter content do not simply have their volatile matter content added proportionally, and the washed coal used in coking plants is currently a mixture of coals with different metamorphic degrees. In addition, while various mathematical models have been established for predicting coke quality, most are linear models, which cannot rigorously describe the complex relationships between various parameters in the coal blending and coking processes, and therefore cannot accurately predict the blending ratio and coking yield. Therefore, developing a method that can accurately predict the coking rate of foundry coke is of great significance for optimizing coal blending schemes, improving the quality of foundry coke, and reducing production costs. Summary of the Invention
[0003] This invention overcomes the shortcomings of the prior art and proposes a method for predicting the coking rate of foundry coke, thus solving the problem of the inability to accurately predict the coking rate of foundry coke.
[0004] This invention is achieved through the following technical solution: A method for predicting the coking rate of foundry coke is proposed, which calculates the coking rate by using the ring condensation index of the coal fed into the furnace.
[0005] Preferably, the cyclocondensation index of the coal fed into the furnace is calculated using the volatile matter, carbon content, and hydrogen content of the coal.
[0006] More preferably, the volatile matter of the coal fed into the furnace is determined according to the national standard GB / T 212-2008.
[0007] More preferably, the carbon and hydrogen content of the coal fed into the furnace is determined according to the national standard GB / T 31391-2015.
[0008] Preferably, a small coke oven test is conducted according to the industry standard YB / T 4526-2016, and the coking rate is calculated; the calculated coking rate is verified by comparing it with the coking rate calculated by the ring condensation index of the coal fed into the furnace.
[0009] Preferably, the coking rate is calculated by substituting the ring condensation index of the coal fed into the furnace into the formula K=93.8826-1.8585*NCR.
[0010] Preferably, volatile matter is utilized first. V daf and carbon content C daf Calculate the aromaticity of coal f a ; Reuse of aroma f a Calculate the cyclic condensation index N based on the molar content of hydrogen (Hdaf = 1 / 10000 of the relative atomic mass of hydrogen) and the molar content of carbon (Cdaf = 1 / 2 of the relative atomic mass of carbon). CR ; ; .
[0011] The beneficial effects of this invention compared to the prior art are as follows: This invention, through in-depth research on the characteristics of coal fed into the furnace, discovered a close correlation between the ring condensation index of the coal and the coking rate of foundry coke. By accurately measuring the ring condensation index of the coal fed into the furnace and combining it with a specific prediction model, the coking rate of foundry coke can be predicted with relatively high accuracy.
[0012] This invention introduces the ring condensation index of coal into the prediction of coking yield of foundry coke for the first time. This index reflects the essential structural characteristics of coal and, compared with traditional indicators such as volatile matter, maximum thickness of plastic layer, and caking index, can better reflect the inherent reaction characteristics of coal in the coking process, providing a new and more effective entry point for predicting coking yield.
[0013] 1. Higher Accuracy: This invention, through in-depth research on the key intrinsic indicator of the ring condensation index of the coal fed into the furnace, and by combining advanced statistical and machine learning algorithms to establish a predictive model, can more accurately predict the coking rate of foundry coke, greatly improving the accuracy of the prediction. When predicting the coking rate of the same batch of coal fed into the furnace, the prediction error of existing methods is about ±5%, while the prediction error of the method of this invention can be controlled within ±2%.
[0014] 2. Greater Adaptability: Traditional methods are limited by region and coal type, making accurate prediction difficult for coals of different sources and properties. The method of this invention, based on the essential structural characteristic of coal—the ring condensation index—can adapt to various types of coal fed into the furnace, thus having wider applicability. Whether it's high-volatile coal, low-volatile coal, or coal of different metamorphic degrees, the coking rate can be accurately predicted using the method of this invention. Detailed Implementation
[0015] To make the technical problem to be solved, the technical solution, and the beneficial effects of the present invention clearer, the present invention will be further described in detail with reference to 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 technical solution of the present invention will be described in detail below with reference to embodiments, but the scope of protection is not limited thereto. Example
[0016] This embodiment proposes a method for predicting the coke yield of foundry coke, specifically comprising the following steps: S1. The volatile matter content of the coal fed into the furnace was determined according to the national standard GB / T 212-2008; in this embodiment, the coal fed into the furnace is coal used in a top-charging coke oven; the volatile matter content determined according to the national standard GB / T 212-2008 is Vdaf = 20.5 wt.%; S2. The carbon and hydrogen content of the coal fed into the furnace were determined according to the national standard GB / T 31391-2015. The results of the carbon and hydrogen content determination according to the national standard GB / T 31391-2015 are as follows: carbon content Cdaf = 86.7 wt.%, hydrogen content 4.1 wt.%. S3. Calculate the ring condensation index of the coal fed into the furnace using the volatile matter, carbon content, and hydrogen content of the coal. Volatile components V daf and carbon content C daf Substitute into the following formula to calculate the aromaticity of coal. f a =0.8874; ; Reuse of aroma f a， Calculate the molar content of hydrogen (H, where Hdaf is the ratio of hydrogen's relative atomic mass to 1) and the molar content of carbon (C, where Cdaf is the ratio of carbon's relative atomic mass to 12). CR =2.9693; ; S4. Substitute the ring condensation index of the coal fed into the furnace into the formula K=93.8826-1.8585*NCR to obtain the predicted value of the coking rate. K refers to the predicted coking rate, and NCR refers to the ring condensation index. The coefficients 93.8826 and 1.8585 are based on 2000 sets of ring condensation indices (NCR) and coking rates (K). 实测 This was obtained through multiple linear regression. The previous step calculated the NCR; substituting this number into the formula K = 93.8826 - 1.8585 * NCR, we get K. 预测 =88.364%, this K 预测 It refers to the predicted coking rate.
[0017] S5. Conduct a 40 kg small coke oven test according to industry standard YB / T 4526-2016 and calculate the coking rate.
[0018] The experimental method for a 40kg coke oven was performed according to industry standard YB / T 4526-2016. A charge of 40kg was introduced into the oven, and 35.18kg of coke was discharged. The coking yield K was then determined. 实测 =87.95%.
[0019] S6. The predicted coking rate was compared with the test results of the coking rate of a 40 kg coke oven. The prediction accuracy was high and did not deviate significantly with changes in the coal fed into the furnace and the thermal regime.
[0020] Predicted coking rate is K 预测 =88.364%, the actual coking rate is K 实测 =87.95%; absolute error is 0.414%.
[0021] Example 2 This embodiment proposes a method for predicting the coke yield of foundry coke, specifically comprising the following steps: S1. The volatile matter content of the coal fed into the furnace was determined according to the national standard GB / T 212-2008. The coal used in this embodiment is coal for use in a tamping coke oven. The volatile matter content was determined according to the national standard GB / T 212-2008, which is a national standard with a defined and consistent method. The volatile matter content was determined to be Vdaf = 27.5 wt.%. S2. The carbon and hydrogen content of the coal fed into the furnace were determined according to the national standard GB / T 31391-2015. The results of the carbon and hydrogen content determination according to the national standard GB / T 31391-2015 are as follows: carbon content Cdaf = 82.5 wt.%, hydrogen content 5.5 wt.%. S3. Calculate the ring condensation index of the coal fed into the furnace using the volatile matter, carbon content, and hydrogen content of the coal. Volatile components Vdaf and carbon content C daf Substitute into the following formula to calculate the aromaticity of coal. f a =0.8504; ; Reuse of aroma f a 、 Given the molar content of hydrogen (H, where Hdaf is the relative atomic mass of hydrogen = 1) and the molar content of carbon (C, where Cdaf is the relative atomic mass of carbon = 12), calculate NCR = 2.20175.
[0022] ;
[0023] S4. Substitute the ring condensation index of the coal fed into the furnace into the formula K=93.8826-1.8585*NCR to obtain the predicted value of the coking rate. K refers to the predicted coking rate, and NCR refers to the ring condensation index. The coefficients 93.8826 and 1.8585 are based on 2000 sets of ring condensation indices (NCR) and coking rates (K). 实测 This was obtained through multiple linear regression. The previous step calculated the NCR; substituting this number into the formula K = 93.8826 - 1.8585 * NCR, we get K. 预测 =89.7906%, this K 预测 It refers to the predicted coking rate; S5. Conduct a 40 kg small coke oven test according to industry standard YB / T 4526-2016 and calculate the coking rate.
[0024] The experimental method for a 40kg coke oven was performed according to industry standard YB / T 4526-2016. A charge of 40kg was introduced into the oven, and 36.005kg of coke was discharged. The coking yield K was then determined. 实测 =90.0125%.
[0025] S6. The predicted coking rate was compared with the test results of the coking rate of a 40 kg coke oven. The prediction accuracy was high and did not deviate significantly with changes in the coal fed into the furnace and the thermal regime.
[0026] Predicted coking rate is K 预测 =89.7906%, the actual coking rate is K 实测 =90.0125%. The absolute error is 0.2219%.
[0027] Example 3 S1. The volatile matter content of the coal fed into the furnace was determined according to the national standard GB / T 212-2008. In this embodiment, the coal fed into the furnace is the coal used in a heat recovery coke oven. The volatile matter content was determined according to the national standard GB / T 212-2008, which is a national standard with a defined and unchanging method. The result of the volatile matter determination was Vdaf = 33.0 wt.%; S2. The carbon and hydrogen content of the coal fed into the furnace was determined according to the national standard GB / T 31391-2015. The carbon and hydrogen content were determined according to the national standard GB / T 31391-2015, which has a fixed and consistent method. The carbon content was Cdaf = 79.2 wt.%, and the hydrogen content was 6.6 wt.%. S3. Calculate the ring condensation index of the coal fed into the furnace using the volatile matter, carbon content, and hydrogen content of the coal. Volatile components V daf and carbon content C daf Substitute into the following formula to calculate the aromaticity of coal. f a =0.8187; ;
[0028] Reuse of aroma f a Given the molar content of hydrogen (Hdaf) as a function of hydrogen relative atomic mass 1 and the molar content of carbon (Cdaf) as a function of carbon relative atomic mass 12, calculate NCR = 1.59829.
[0029] ;
[0030] S4. Substitute the ring condensation index of the coal fed into the furnace into the formula K=93.8826-1.8585*NCR to obtain the predicted value of the coking rate. K refers to the predicted coking rate, and NCR refers to the ring condensation index. The coefficients 93.8826 and 1.8585 are based on 2000 sets of ring condensation indices (NCR) and coking rates (K). 实测 This was obtained through multiple linear regression. The previous step calculated the NCR; substituting this number into the formula K = 93.8826 - 1.8585 * NCR, we get K. 预测 =90.9122%, this K 预测 It is the predicted coking rate. S5. Conduct a 40 kg small coke oven test according to industry standard YB / T 4526-2016 and calculate the coking rate.
[0031] The experimental method for a 40kg coke oven was performed according to industry standard YB / T 4526-2016. A charge of 40kg was applied to the oven, and 36.41kg of coke was discharged. The coking yield K was then determined. 实测 =91.0324%.
[0032] S6. The predicted coking rate was compared with the test results of the coking rate of a 40 kg coke oven. The prediction accuracy was high and did not deviate significantly with changes in the coal fed into the furnace and the thermal regime.
[0033] Predicted coking rate is K 预测 =90.9122%, the actual coking rate is K 实测 =91.0324%. The absolute error is 0.1202%.
[0034] It should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This way of describing the specification is only for clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.
[0035] The detailed descriptions listed above are merely specific descriptions of feasible implementation methods of this application and are not intended to limit the scope of protection of this application. All equivalent implementation methods or modifications made without departing from the spirit of the art of this application should be included within the scope of protection of this invention.
Claims
1. A method for predicting the coke yield of foundry coke, characterized in that, The coking rate is calculated by the ring condensation index of the coal fed into the furnace; the coking rate is obtained by substituting the ring condensation index of the coal fed into the formula K=93.8826-1.8585*NCR.
2. The method for predicting the coke yield of foundry coke according to claim 1, characterized in that, The cycloconversion index of the coal fed into the furnace is calculated using the volatile matter, carbon content, and hydrogen content of the coal.
3. The method for predicting the coke yield of foundry coke according to claim 2, characterized in that, The volatile matter content of coal fed into the furnace was determined according to the national standard GB / T 212-2008.
4. The method for predicting the coke yield of foundry coke according to claim 2, characterized in that, The carbon and hydrogen content of the coal fed into the furnace shall be determined in accordance with the national standard GB / T 31391-2015.
5. The method for predicting the coke yield of foundry coke according to claim 1, characterized in that, Small coke oven tests were conducted according to industry standard YB / T 4526-2016, and the coking rate was calculated. The calculated coking rate was verified by comparing it with the coking rate calculated by the ring condensation index of the coal fed into the furnace.
6. The method for predicting the coke yield of foundry coke according to claim 1, characterized in that, First utilize volatile matter V daf and carbon content C daf Calculate the aromaticity of coal f a ; Reuse of aroma f a Calculate the cyclocondensation index N based on the molar content of hydrogen (H) and carbon (C). CR ; ； 。