Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Evaluation method of fat coal quality

An evaluation method and fat coal technology, applied in the petroleum industry, instruments, data processing applications, etc., can solve the problems of coal quality evaluation and difficult to fully control, and achieve the effect of reducing the fluctuation range of thermal performance

Active Publication Date: 2013-09-04
武汉钢铁有限公司
View PDF5 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Zhang Wencheng et al. analyzed the relationship between the Kiel fluidity index of different coal types and other cohesiveness indexes and quality indexes through the research on quality indexes such as coking coal’s Kiel fluidity index, cohesiveness index, vitrinite reflectance and volatile matter. According to the relationship, the maximum Giraffel fluidity of fat coal has a good correlation with the caking index, which can be used as an index to distinguish fat coal (Zhang Wencheng et al. Analysis of the characteristics of Giraffel fluidity index. Coal Chemical Industry. 2012, 40 (3): 26-28), but it only distinguishes whether a single type of coal is fat coal or not from another aspect, and cannot further evaluate the coal quality that has been determined as fat coal
However, Wang Fei et al. pointed out that there are many factors affecting the thermal properties of coke, which interact and act together on coke, and it is difficult to fully control it in actual production.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Evaluation method of fat coal quality
  • Evaluation method of fat coal quality
  • Evaluation method of fat coal quality

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be further described in detail through specific embodiments below.

[0018] The proportion of fat coal in an enterprise is 20%, the dry basis ash content of the fat coal is ≤9.00%, and the sulfur content is ≤0.6%. The specific coal blending plan is:

[0019] Coking coal: 40%; fat coal: 20%; 1 / 3 coking coal: 25%; lean coal: 15%.

[0020] Coking coal, 1 / 3 coking coal, and lean coal remain unchanged, and four groups of different fat coals are taken, and coal blending is carried out according to the above-mentioned ratios for coking, and the coke strength after thermal reaction (CSR) is obtained. The relevant data are shown in Table 1.

[0021] Table 1 The strength of coke after thermal reaction after coal blending with different fat coals

[0022] coal sample

X / %

MF / ddpm

b / %

CSR / %

Fat coal 1#

40

60000

150

65.65

Fat coal 2#

40

5976

100

63.01

Fat coal 3#

60

4000...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an evaluation method of a fat coal quality. The evaluation method comprises the steps as follows: 1), detecting key indexes of coal quality of the fat coal and obtaining a coarse grain mosaic structure proportion X, a maximum Giseeler fluidity MF and an expansion degree b of the fat coal; 2), setting P to be a fat coal quality evaluation index, P= 100 + 10* [k1* (X-Xj)+ K2* (lgMF-lgMFj) + K3* (b-bj)], wherein Xj, MFj and bj are the coarse grain mosaic structure proportion X, the maximum Giseeler fluidity MF and the expansion degree of standard fat coal respectively, K1, K2 and K3 are constants and related with CSR (coke strength after reaction) as the following relational expression: CSR= K + K1*X + K2* lgMF + K3*b, and K is a constant; and 3), a P value is calculated, and the larger the P value is, the better the fat coal quality is. According to the evaluation method of the fat coal quality, the quality of the fat coal can be effectively evaluated, a price is reasonably determined, and scientific blending is achieved.

Description

technical field [0001] The invention belongs to the technical field of coal blending and coking, and in particular relates to an evaluation method of fat coal quality. Background technique [0002] In recent years, with the rapid development of iron and steel enterprises, the demand for coking coal has increased greatly, especially for moderately metamorphic and strongly caking coal such as fat coal. In the coal blending scheme, fat coal plays the role of adjusting the rheology and expansion of blended coal, promoting closer contact between coal particles of different coking coals, and at the same time providing a certain granular structure to support the thermal properties of coke. [0003] According to the Chinese coal classification standard (GB 5751-2009), coking coal with volatile content >10.0~37.0%, G value >85, and Y value >25.0 is uniformly classified as fat coal. Due to the wide range of this classification method, there are large differences in the coke ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): C10B57/04G06Q50/02
Inventor 项茹宋子逵薛改凤任玉明陈细涛鲍俊芳刘向勇陈鹏张雪红詹立志
Owner 武汉钢铁有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products