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Prediction method of base fluidity of mixed coal

A technology of Gibson's fluidity and prediction method, which is applied in the petroleum industry, coking ovens, etc., can solve problems such as inappropriateness and unsatisfactory prediction results, and achieve the effects of improving quality, strong judgment and control, and accurate results

Active Publication Date: 2019-07-23
BAOSHAN IRON & STEEL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the actual prediction effect is not ideal. After the coal is heated and softened, a colloid is formed, which is quite different from the suspension, which shows that it is not suitable to calculate the viscosity of the colloid with the suspension model.

Method used

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  • Prediction method of base fluidity of mixed coal
  • Prediction method of base fluidity of mixed coal
  • Prediction method of base fluidity of mixed coal

Examples

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Embodiment 1

[0035] A method for predicting the Kickers fluidity of blended coal, comprising the following steps after utilizing actual tests to measure the Kickers fluidity data of each single coal in the blended coal:

[0036] Step 1. Sorting from large to small according to the Gibbs maximum fluidity of each single coal, and then dividing each single coal into several types of coal according to the Gibbs maximum fluidity after sorting; in this embodiment, all single coals Coals are divided into three types of coals, strong viscous coals with the MF value ≥ 2500DDPM of Gibbs’ maximum fluidity, medium viscous coals with MF values ​​of 2500DDPM > 50DDPM, and weak coals with MF values ​​< 50DDPM sticky coal;

[0037] The blending coal composition of present embodiment is as shown in table 1:

[0038]

[0039] Table 1 is the blending coal composition table of the present embodiment

[0040] Strongly viscous coal: Coal I, Coal II, Coal III, Coal IV

[0041] Medium viscosity coal: Coal V...

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Abstract

The invention relates to a prediction method for the Gieseler fluidity of mixed coal, belonging to the field of coking and coal blending. The prediction method for the Gieseler fluidity of mixed coal comprises the following steps after determination of the Gieseler fluidity data of each single coal in the mixed coal through actual tests: carrying out sequencing according to the maximal Gieseler fluidity of each single coal from greater Gieseler fluidity to smaller Gieseler fluidity and then classifying all the single coal into plural types of coal according to the maximal Gieseler fluidity; subjecting the Gieseler fluidity data of all the single coal of each type of coal to normalization separately so as to obtain the comprehensive Gieseler fluidity data of each type of coal; and subjecting the comprehensive Gieseler fluidity data of all the types of coal to normalization so as to obtain the Gieseler fluidity data of the mixed coal. Actual measurement proves that the Gieseler fluidity data of the mixed coal obtained in the invention is more accurate, obtains more effective data and performs better determination and control on the caking property of the mixed coal compared with a conventional weighted calculation method; so the predication method enables a coal blending scheme to have higher applicability and can improve the quality of the mixed coal.

Description

technical field [0001] The invention relates to the field of coking coal blending, in particular to a method for predicting blended coal base fluidity. Background technique [0002] The cohesiveness index is one of the important indicators to measure the quality of blended coal, but the cohesiveness does not have a simple additive property. [0003] At present, the commonly used coking coal cohesiveness indexes include caking index, Giraffel fluidity, Aurora expansion degree, and colloidal layer thickness. Most large-scale coking plants in the world use the Giraffel fluidity index when predicting the cohesiveness of blended coal, because the Giraffel Fluidity can better reflect the quantity and quality of colloids produced by coal pyrolysis. Gi's softening temperature Tp (°C), Gi's maximum flow temperature Tmax (°C), Gi's curing temperature Tk (°C), Gi's maximum fluidity MF (DDPM) or lgMF, colloid temperature interval (Tk-Tp), is the Gi's test Several indicators often used...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C10B57/04
Inventor 孙维周胡德生张启锋
Owner BAOSHAN IRON & STEEL CO LTD