Prediction method of coke thermal performance

A prediction method and thermal performance technology, which is applied in the field of coal chemical industry, can solve the problems of unfavorable blast furnace stable production, large fluctuations in the thermal performance of upper coke, and large differences in coking performance, etc., to achieve the effect of stabilizing blast furnace production and small fluctuations

Active Publication Date: 2015-09-30
武汉钢铁有限公司
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Problems solved by technology

However, in actual research, it is often found that the cohesion index G value and Y value have static appearance, and coking coal with close volatile matter, G value, and Y value often appears, and

Method used

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  • Prediction method of coke thermal performance
  • Prediction method of coke thermal performance
  • Prediction method of coke thermal performance

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Experimental program
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specific Embodiment

[0027] Concrete embodiment sees as follows:

Embodiment

[0029] The mixed coal contains gas coal, fat coal (fluidity 20000ddpm, b value 180%), 1 / 3 mass coking coal 1﹟ (fluidity 1500ddpm), 1 / 3 mass coking coal 2﹟ (fluidity<200ddpm), coking coal ,lean coal;

[0030] Select at least 7 coal blending schemes according to the type of coal, see Table 1 below for details:

[0031] Table 1 Coal blending scheme

[0032]

[0033] CSR=K+K 1 ×C 粗 +K 2 ×F 纤维+片状 +K 3 × T 同性 +K 4 ×X 1 lg MF1+K 5 ×X 2 lg MF2+K 6 ×X 2 b (1)

[0034] According to different coal blending structures for coking, the coking microstructure of each blending coal is shown in Table 2 below:

[0035] Table 2 Coke microstructure of various coal blends

[0036]

[0037] Substituting the above results into formula (1), the following formula (2) is obtained:

[0038] CSR=41.0+0.613∑X 粗粒 -0.249∑X 纤维 +2.32X 1 / 3焦 lm w 1 / 3焦 +4.78X 肥 lm w 肥 +0.0781X 肥 b 肥 -0.200X 同性 (2)

[0039] Through the prediction model of thermal properties of coke, the key ind...

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Abstract

The invention discloses a prediction method of coke thermal performance. The prediction method comprises the following steps of (1) determining a coal blending coking microstructure according to a coal blending structure; (2) determining behavioral indicators of a coking process, performing weighted average on the fluidity, which is larger than or equal to 1000 to 10000 ddpm, of coking coal, recording lgMF1, performing weighted average on the fluidity, which is larger than or equal to 10000 ddpm, of coking coal, recording lgMF2, performing weighted average on the expansion degree of coking coal of which a b value is larger than or equal to 80%, and recording b; (3) solving a correlation coefficient relationship of all control indicators and the thermal performance: CSR=K+K1*C(Coarse)+K2*F(Fiber)+flaky+K3*T homogeneity+K4*X1lg MF1+K5*X2 lg MF2+K6*X2b; (4) determining control ranges of all of the indicators which reach the CSR requirements, and adjusting specific matching of blended coal. The prediction method is favorable for stable production of a blast furnace and can be widely applied to the field of coal chemical industry, and the coke thermal performance CSR reaches production requirements.

Description

technical field [0001] The invention relates to the field of coal chemical industry, in particular to a method for predicting the thermal properties of coke. Background technique [0002] Blending coal is made by blending individual coals according to a certain ratio. Its quality depends on the quality of single coal and the blending ratio of coking coal, but the quality of blending coal is not simply summed up by the ratio of individual coals. At present, the prediction of the thermal performance of coke in various domestic coking enterprises is mainly carried out by matching the ash content, sulfur content, volatile matter, G value (cohesion index) and Y value (colloid layer index) of coal. However, in actual research, it is often found that the cohesion index G value and Y value have static appearance, and coking coal with close volatile matter, G value, and Y value often appears, and the coking performance is quite different, resulting in large fluctuations in the therma...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02
Inventor 项茹薛改凤宋子逵崔会明冯柏华张雪红詹立志陈鹏鲍俊芳孙彬任玉明
Owner 武汉钢铁有限公司
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