Meager lean coal quality evaluation method based on Gieseler fluidity curve integral ratio and coking coal blending system
The method of evaluating lean coal quality by integrating the Gibbs freeness curve solves the problem of insufficient differentiation ability in traditional methods, enabling the high proportion of lean coal to be blended, ensuring stable coke quality and reducing costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-30
- Publication Date
- 2026-04-10
AI Technical Summary
Existing technologies are insufficient to accurately evaluate the quality of lean coal, especially its impact on the flowability of active components. This results in traditional methods being unable to differentiate coal in blending, affecting the stability of coke quality and the cost of coal blending.
A method based on the integral ratio of the Gibbs freeness curve is adopted. By calibrating standard coking coal, mixing lean coal and measuring Gibbs freeness, the integral ratio of the freeness curve is calculated to classify the quality grade of lean coal, and this method is applied in the coking coal blending system.
This approach enables the high-proportion use of lean coal resources while ensuring stable coke quality, thereby reducing coal blending costs and improving the sensitivity and quantification of lean coal quality evaluation.
Smart Images
Figure CN121830384A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of coking coal blending technology, specifically relating to a method for evaluating the quality of lean coal based on the integral ratio of the Gibbs freeness curve and a coking coal blending system. Background Technology
[0002] In coking coal blending, lean coal is a commonly used and important component, and its quality directly affects the blending effect and the final coke quality. Currently, the evaluation of lean coal quality largely relies on traditional single indicators, such as volatile matter (Vdaf), caking index (G value), or conventional industrial analysis indicators like ash and sulfur content. However, these traditional evaluation methods have the following limitations: (1) Traditional evaluation methods are not good at distinguishing lean coal: Lean coal has weak caking properties (the caking index G value is usually low, ranging from 5 to 20). Traditional caking properties indicators (such as G value) have limited ability to distinguish its quality differences and it is difficult to accurately predict its actual performance after interacting with active components such as coking coal in the coal blending system.
[0003] (2) Failure to fully consider its impact on the flowability of active components: lean coal is often used as an "inert component" or "lean agent" in coal blending. An important aspect of its quality is the degree of influence on the flowability of active components such as fat coal. However, existing evaluation methods lack effective means to quantify this interaction.
[0004] While Gibbs freeness can characterize the colloidal flowability of coal, existing techniques are mostly used for evaluating single coal types or highly caking coals, lacking additive applicability for blended coals. Furthermore, the petrographic composition and inert component content of lean coals vary significantly across different mines, requiring traditional methods to conduct multiple blending tests (such as inertness tolerance tests) to assess their suitability, resulting in a cumbersome and inefficient process. Therefore, a quality evaluation method that can sensitively and quantitatively reflect the impact of lean coals on blended coal flowability is urgently needed. Summary of the Invention
[0005] The technical problem to be solved by this invention is to provide a method for evaluating the quality of lean coal based on the integral ratio of the Gibbs freeness curve and a coking coal blending system, which can be used to blend lean coal resources in a high proportion while ensuring stable coke quality.
[0006] The technical solution adopted by this invention to solve the above-mentioned technical problems is: a method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard fluidity curve, comprising the following steps: S1: The Gibbs freeness of standard coking coal; S2: Prepare blended coal by mixing standard coking coal and lean coal to be evaluated according to the specified ratio, and test the Gibbs freeness of the blended coal; S3: Obtain the Kierkegaard flowability of standard coking coal and the Kierkegaard flowability of mixed coal, and calculate the integral proportion of the flowability curve of lean coal. S4: Based on the integral proportion of the fluidity curve, the quality of lean coal is assessed and the quality grade of lean coal is classified.
[0007] According to the above scheme, the specific steps in step S1 are as follows: Select a standard bituminous coal as the target, determine its Kierkegaard flowability, and obtain its softening temperature T. p0 Curing temperature T k0 And Gibbs flowability curve data.
[0008] Furthermore, in step S1, the maximum flowability (MF) of the standard coking coal is ≥10000 ddpm, the softening temperature is 380℃ ≤ 390℃, and the solidification temperature is 480℃ ≤ 500℃.
[0009] According to the above scheme, the specific steps in step S2 are as follows: Standard coking coal and lean coal to be evaluated are mixed at a fixed mass ratio; The Kiel fluidity of the mixed coal was tested to obtain the softening temperature T of the mixed coal. pi Curing temperature T ki And Gibbs flowability curve data.
[0010] Furthermore, in step S2, the fixed mass ratio is 80%:20%.
[0011] Furthermore, in step S3, the specific steps are as follows: The Gibbs flowability of standard coking coal was measured using a flowability tester. F ( T Kierkegaal fluidity of mixed coal f ( T ); Calculate the integral S0 of the Gibbs freeness curve for standard coking coal. ; Calculate the integral S of the Kierkegaard fluidity curve for mixed coal. i = ; Calculate the integral proportion of the flowability curve R = (S i / S0) × 100%.
[0012] Furthermore, in step S4, the specific steps are as follows: When R ≥ 10%, it is classified as Grade I lean coal, and the blending ratio should be ≤ 15%. When 10% > R ≥ 5%, it is classified as Grade II lean coal, and its blending ratio should be ≤10%. When R < 5%, it is classified as Grade III lean coal, and the blending ratio should be ≤ 5%.
[0013] According to the above plan, the following steps are also included: Coking is carried out by blending lean coal according to its quality grade, and the blending scheme is verified by coke CSR determination.
[0014] A coking coal blending system classifies lean coal into grades based on a lean coal quality evaluation method based on the integral ratio of the Gibbs freeness curve, and then blends the coal for coking.
[0015] A computer memory storing a computer program executable by a computer processor, the computer program performing a method for evaluating the quality of lean coal based on the integral ratio of the Kirchhoff fluidity curve.
[0016] The beneficial effects of this invention are as follows: 1. The present invention relates to a method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve and a coking coal blending system. The method evaluates the performance of lean coal from different mines in coal blending by using the integral ratio R value of the Kierkegaard flowability curve. It comprehensively reflects the influence of lean coal on the flowability of the plastic mass throughout the process. The method has a better ability to distinguish the quality differences of lean coal than traditional methods. It achieves the function of using a high proportion of lean coal resources and reducing coal blending costs while ensuring the stability of coke quality.
[0017] 2. After quantitatively evaluating the quality of lean coal, the coke CSR of the present invention is verified by blending and coking to conform to the grade classification of lean coal mines of the present invention. This overcomes the shortcomings of the existing methods for evaluating the quality of lean coal and can sensitively and quantitatively reflect the impact of lean coal on the flowability of blended coal.
[0018] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description
[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0020] Figure 1 This is a flowchart of an embodiment of the present invention.
[0021] Figure 2 This is a graph showing the Kidoch flowability of coking coal according to an embodiment of the present invention.
[0022] Figure 3 This is a graph showing the matrix flowability of a blend of coking coal and lean coal according to an embodiment of the present invention. Detailed Implementation
[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0024] Example 1 See Figure 1 The specific steps of the lean coal quality evaluation method based on the integral ratio of the Kierkegaard fluidity curve are as follows: S1: Calibration of benchmark coking coal Select a standard coking coal (which must meet the following requirements: maximum flowability MF ≥ 10000 ddpm, softening temperature ≤ 380℃). p <390℃, 480℃≤curing temperature (T) k Using a sample (<500℃) as the target, the Kierkegaard fluidity of the coking coal was determined to obtain T0. p0 T k0 And the Gibbs flowability curve data; see [link / reference] Figure 2 ; S2: Preparation and Testing of Mixed Coal Samples The benchmark coking coal and the lean coal to be evaluated were mixed at a fixed mass ratio (80%:20%). The Kibstein fluidity of the mixed coal was determined to obtain T. pi T ki And the Gibbs flowability curve data; see [link / reference] Figure 3 ; S3: Quality Indicator Calculation The Gibbs flowability of standard coking coal was measured using a flowability tester. F ( T Kierkegaal fluidity of mixed coal f ( T ); Calculate the integral S0 of the Kierkegaard fluidity curve of the target material, coking coal. ; Figure 2 Given the Gibbs freeness curve of the target material, coking coal, calculate its integral area (the area shaded in blue in the figure) S0.
[0025] Calculate the integral S of the Kierkegaard fluidity curve for mixed coal. i = ; Figure 3 To calculate the integral area (red shaded area in the figure) S1 of the Gibbs flowability curve measured after blending 80% coking coal and 20% lean coal.
[0026] Calculate the integral proportion of the flowability curve R = (S i / S0) × 100%; S4: Based on the R-value, assess the quality of lean coal and classify its quality grades. R≥10%: Grade I lean coal, with a blending ratio of ≤15%; 10% > R ≥ 5%: Grade II lean coal, blending ratio ≤ 10%; R < 5%: Grade III lean coal, with a blending ratio of ≤ 5%; The coal blending scheme was verified by coal blending for coking and by measuring the CSR of coke.
[0027] This embodiment evaluates the performance of lean coal from different mines in coal blending by using the integral ratio R value of the Gibbs freeness curve. It comprehensively reflects the influence of lean coal on the flowability of the plastic mass throughout the process. The ability to distinguish the quality differences of lean coal is better than that of traditional methods. It achieves the function of using a high proportion of lean coal resources and reducing coal blending costs while ensuring stable coke quality.
[0028] Example 2 The steps in this embodiment are the same as in Embodiment 1, except that each step is applied to a specific instance. Specifically, it includes the following steps: (1) Three lean coals, namely A, B, and C, were selected as the analysis objects, and a coking coal A with a load requirement was selected as the target coking coal. The Gibbs flowability analysis was performed on each coking coal A, and the Gibbs flowability and adhesion index (G value) analysis were performed on the three lean coals. The analysis data are shown in the table below.
[0029] Table 1. Coal quality analysis data for coking coal and lean coal
[0030] All Gibbs flowability indicators of coking coal A meet the requirements of this patent for coking coal. However, the Gibbs flowability of the three lean coals (A, B, and C) cannot be effectively measured, and their G values are all 15. Therefore, under conventional caking properties (such as G value), it is impossible to distinguish the quality of the three lean coals; furthermore, since Gibbs flowability cannot be measured, the flowability indicators of a single coal type are also ineffective in distinguishing quality.
[0031] (2) According to the ratio of 80% coking coal and 20% lean coal, coking coal A was mixed with lean coal at three mining sites A, B and C respectively, and its Gibbs flowability was measured and the integral area of the flowability curve was calculated.
[0032] Table 2. Kierkegaard fluidity data for mixed coal
[0033] (3) Calculate the R-values for the three lean coal deposits: The R-value of lean coal is 32706 / 223342 = 14.6 (%). The R-value of lean coal is 17406 / 223342 = 7.8 (%). The R-value of lean coal is 8096 / 223342 = 3.6 (%). (4) Based on the R value, the three lean coals, A, B, and C, were classified into Grade I, Grade II, and Grade III. While ensuring that other coking coals and the blending structure were identical, the three lean coals (A, B, and C) were blended for coking. The resulting coke was subjected to post-reaction strength (CSR) testing. The specific blending scheme and CSR data are as follows: Table 3 Coal blending scheme and coke CSR data
[0034] The coke CSR data obtained from each scheme show that, after quality rating of lean coal according to the R value mentioned in this application, when the proportion of lean coal A is below 15%, the coke CSR is at a relatively optimal value of 65%, and when the proportion reaches 20%, the CSR drops below 60%. When the proportion of lean coal B is below 10%, the coke CSR is at a relatively optimal value of 65%, and when the proportion reaches 15%, the CSR drops below 60%. When the proportion of lean coal C is above 5%, the strength decreases significantly. The overall coke CSR trend after blending is consistent with the grading of the three lean coal mines in this application.
[0035] This embodiment quantifies the quality of lean coal, and the coke CSR is verified by blending and coking to conform to the grade classification of lean coal mines in this invention. It overcomes the shortcomings of existing methods for evaluating the quality of lean coal and can sensitively and quantitatively reflect the impact of lean coal on the flowability of blended coal.
[0036] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0037] Example 3 This embodiment is used to implement the principle of the above method embodiment to construct a coking coal blending system, which classifies lean coal into grades according to the lean coal quality evaluation method based on the integral ratio of the Gibbs freeness curve, and then performs coal blending and coking.
[0038] It should be noted that, depending on the implementation needs, the various steps / components described in this application can be broken down into more steps / components, or two or more steps / components or parts of the operation of steps / components can be combined into new steps / components to achieve the purpose of this invention.
[0039] This embodiment also includes a processor, a communication interface, a memory, and a communication bus; wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; the memory stores a computer program, and when the program is executed by the processor, the processor performs the steps of the lean coal quality evaluation method based on the integral ratio of the Kierkegaard flowability curve.
[0040] This embodiment also provides a computer-readable storage medium storing executable instructions that, when executed by a processor, enable the processor to implement a method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve.
[0041] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects.
[0042] Furthermore, this application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0043] This application is described with reference to the flowchart of the method and computer program product according to Embodiment 1 and the block diagram of the device (system) according to Embodiment 3. It should be understood that each step or block in the flowchart or block diagram, as well as combinations of steps or blocks in the flowchart or block diagram, can be implemented by computer program instructions.
[0044] These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions, which are executable by the processor of the computer or other programmable data processing device, produce instructions for implementing the process. Figure 1 One or more processes or boxes Figure 1 A lean coal quality evaluation system based on the integral ratio of the Gibbs freeness curve, specifying the functions in one or more boxes.
[0045] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes or boxes Figure 1 The function specified in one or more boxes.
[0046] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes or boxes Figure 1 The steps of the lean coal quality evaluation method based on the integral ratio of the Gibbs freeness curve specified in one or more boxes.
[0047] The above embodiments are only used to illustrate the design concept and features of the present invention, and their purpose is to enable those skilled in the art to understand the content of the present invention and implement it accordingly. The protection scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes or modifications made based on the principles and design ideas disclosed in the present invention are within the protection scope of the present invention.
Claims
1. A method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard fluidity curve, characterized in that: Includes the following steps: S1: The Gibbs freeness of standard coking coal; S2: Prepare blended coal by mixing standard coking coal and lean coal to be evaluated according to the specified ratio, and test the Gibbs freeness of the blended coal; S3: Obtain the Kierkegaard flowability of standard coking coal and the Kierkegaard flowability of mixed coal, and calculate the integral proportion of the flowability curve of lean coal. S4: Based on the integral proportion of the fluidity curve, the quality of lean coal is assessed and the quality grade of lean coal is classified.
2. The method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve according to claim 1, characterized in that: The specific steps in step S1 are as follows: Select a standard bituminous coal as the target, determine its Kierkegaard flowability, and obtain its softening temperature T. p0 Curing temperature T k0 And Gibbs flowability curve data.
3. The method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve according to claim 2, characterized in that: In step S1, the maximum flowability (MF) of the standard coking coal is ≥10000 ddpm, the softening temperature is 380℃ ≤ 390℃, and the solidification temperature is 480℃ ≤ 500℃.
4. The method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve according to claim 1, characterized in that: The specific steps in step S2 are as follows: Standard coking coal and lean coal to be evaluated are mixed at a fixed mass ratio; The Kiel fluidity of the mixed coal was tested to obtain the softening temperature T of the mixed coal. pi Curing temperature T ki And Gibbs flowability curve data.
5. The method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve according to claim 4, characterized in that: In step S2, the fixed mass ratio is 80%:20%.
6. The method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve according to claim 2 or 4, characterized in that: The specific steps in step S3 are as follows: The Gibbs flowability of standard coking coal was measured using a flowability tester. F ( T Kierkegaal fluidity of mixed coal f ( T ); Calculate the integral S0 of the Gibbs freeness curve for standard coking coal. ; Calculate the integral S of the Kierkegaard fluidity curve for mixed coal. i = ; Calculate the integral proportion of the flowability curve R = (S i / S0) × 100%.
7. The method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve according to claim 6, characterized in that: The specific steps in step S4 are as follows: When R ≥ 10%, it is classified as Grade I lean coal, and the blending ratio should be ≤ 15%. When 10% > R ≥ 5%, it is classified as Grade II lean coal, and its blending ratio should be ≤10%. When R < 5%, it is classified as Grade III lean coal, and the blending ratio should be ≤ 5%.
8. The method for evaluating the quality of lean coal based on the integral ratio of the Kierkegaard flowability curve according to claim 1, characterized in that: The steps also include: Coking is carried out by blending lean coal according to its quality grade, and the blending scheme is verified by coke CSR determination.
9. A coking coal blending system, characterized in that: The lean coal is classified into grades according to the lean coal quality evaluation method based on the integral ratio of the Gibbs freeness curve as described in any one of claims 1 to 8, and then blended for coking.
10. A computer memory, characterized in that: It contains a computer program that can be executed by a computer processor, which performs the lean coal quality evaluation method based on the integral ratio of the Kierkegaard flowability curve as described in any one of claims 1 to 8.