基于炼焦煤族组成和结构参数的焦炭质量预测模型及其成焦机理

秦志宏; 卜良辉; 李祥

基于炼焦煤族组成和结构参数的焦炭质量预测模型及其成焦机理

中国矿业大学, 江苏徐州 221116

基金项目:

国家自然科学基金煤炭联合基金 U1361116

国家自然科学基金 51674260

国家重点基础研究发展规划（973计划） 2012CB214900

详细信息

中图分类号: TQ520
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出版历程
- 收稿日期: 2018-09-12
- 修回日期: 2018-10-16
- 网络出版日期: 2021-01-23
- 刊出日期: 2018-12-10

Prediction model for coke quality and mechanism based on coking coal composition and structure parameters

China University of Mining and Technology, Xuzhou 221116, China

Funds:

the Coal Joint Fund from National Natural Science Foundation of China and Shenhua Group Corporation Limited U1361116

the National Natural Science Foundation of China 51674260

the National Basic Research Program of China (973 program) 2012CB214900

More Information

Corresponding author: QIN Zhi-hong, Tel: 0516-83591059, E-mail: qinzh1210@163.com

摘要

摘要: 以五种炼焦煤和44组配合煤为研究对象，在40 kg小焦炉环境下完成煤杯炼焦实验，以煤全组分分离所获得的煤重质组、密中质组和疏中质组收率Y_HC、Y_DMC、Y_LMC及反映煤中氢键缔合情况和脂肪链长短或支链化程度的红外光谱参数I₃、I₄为主要指标，通过BP神经网络分析方法建立了焦炭质量预测模型，并讨论了模型的特点，分析了新模型下的成焦机理。结果表明，使用新的煤组成结构参数预测焦炭质量具有一定优势，成焦率（CR）、显微强度（MSI）、粒焦反应性（PRI）和反应后强度（PSR）的预测值和实测值有较好一致性，对y=x的拟合相关系数分别达到0.986、0.982、0.956和0.926。模型对CR、MSI和PRI的预测效果较好，九个预测样本的平均偏差分别为0.53%、1.58%和1.28%；但对反应后强度PSR预测效果较差，平均偏差在12.22%。研究结果为建立炼焦配煤新方法提供了良好基础。
- 炼焦配煤 /
- 焦炭质量 /
- 预测模型 /
- BP神经网络 /
- 成焦机理
Abstract: Five coking coals and 44 groups of blended coals were studied, and the coking experiments with coal cup were completed using a 40 kg small coke oven. According to the yields of heavy component, dense medium component and loose medium component (Y_HC, Y_DMC and Y_LMC) obtained by all-component separation as well as the FT-IR parameters of I₃ and I₄ which reflect hydrogen bond association, aliphatic chain length and branched degree, the prediction model for coke quality was established with the BP neural network. Then, the characteristics of the model were discussed and the coking mechanism by the new model was analyzed. The results show that using new defined coal structure parameters to predict coke quality has some advantages. The predicted and measured values of coke formation rate (CR), micro-strength (MSI), reactivity of particulate coke (PRI) and post-reaction strength (PSR) are in good agreement, and the fitting correlation coefficient of y versus x reaches 0.986, 0.982, 0.956 and 0.926, respectively. The prediction results of CR, MSI and PRI by the model are good with the mean variation of nine samples being 0.53%, 1.58% and 1.28%, respectively. However, the prediction result of (PSR) is poor with the mean variation being 12.22%. The results can provide a good foundation for the establishment of a new method for coal blending.
- coal blending for coking /
- coke quality /
- prediction model /
- BP neural network /
- coking mechanism

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图 1 配煤炼焦实验器具及所制备焦炭

(a), (b)：coal cup; (c): briquette; (d): tableting; (e): muddler; (f): coke

Figure 1 Experimental apparatus for coking of blended coals and the obtained coke

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图 2 G与G_LMC×Y_LMC+G_DMC×Y_DMC的关系

Figure 2 Relationship between G and G_LMC×Y_LMC+G_DMC×Y_DMC

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图 3 允许相对误差为5%时的预测效果

Figure 3 Predicted results at relative error of 5%

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图 4 DMC压片在不同温度下的受热形态变化

Figure 4 Morphological evolution of DMC heating at different temperatures

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图 5 LMC压片在不同温度下的受热形态变化

Figure 5 Morphological evolution of LMC heating at different temperatures

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图 6 HC压片在不同温度下的受热形态变化

Figure 6 Morphological evolution of HC heating at different temperatures

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图 7 LC在不同温度下的受热形态变化

Figure 7 Morphological evolution of LC heating at different temperatures

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图 8 两种炼焦煤的成焦机理示意(煤颗粒内部)

Figure 8 Coking mechanism diagram of two kinds of coking coal (interior of coal particles)

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图 9 单种煤成焦机理(炼焦煤A，煤颗粒间)

Figure 9 Coking mechanism diagram of single coal (between coal A particles)

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图 10 配合煤成焦机理(炼焦煤A与炼焦煤B颗粒间)

Figure 10 Coking mechanism diagram of blended coal (between coal A and coal B particles)

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表 1 煤样的工业分析和元素分析

Table 1 Proximate and ultimate analyses of coal samples

Coal sample	Proximate analysis w/%				Ultimate analysis w_daf /%
Coal sample	M_ad	A_d	V_daf	FC_daf	C	H	O^*	N	S
XL	1.34	7.60	27.65	72.35	87.52	5.37	3.40	1.50	2.21
BL	0.82	8.95	32.67	67.33	86.52	5.52	5.54	1.61	0.81
YC	0.68	8.69	37.13	62.87	86.24	6.06	5.09	1.63	0.98
JX	1.90	11.16	36.21	63.79	84.25	6.08	7.25	1.68	0.74
TY	1.26	10.05	33.86	66.14	83.15	5.55	8.54	1.62	1.14
^*：by difference

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表 2 全组分分离后各族组分收率

Table 2 Yield of each group component after separation of all components

Sample	w_daf /%
Sample	Y_DMC	Y_LMC	Y_HC	Y_LC	ΔL
XL	11.46	20.48	65.33	0.71	2.02
BL	9.00	20.66	67.62	1.09	1.63
YC	11.94	26.79	59.15	1.27	0.85
JX	8.21	12.10	77.52	0.88	1.29
TY	5.65	12.59	79.38	1.29	1.09
ΔL：amount at stake

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表 3 炼焦实验用煤样配比

Table 3 Ratio of each coal sample for coking experiment

No.	Ratio /%
No.	XL	YC	BL	JX	TY
1	100	-	-	-	-
2	-	100	-	-	-
3	-	-	100	-	-
4	-	-	-	100	-
5	-	-	-	-	100
6	81.83	-	-	18.17	-
7	66.5	-	-	33.5	-
8	51.18	-	-	48.82	-
9	43.52	-	-	56.48	-
10	28.19	-	-	71.81	-
11	12.87	-	-	87.13	-
12	84.42	-	-	-	15.58
13	71.28	-	-	-	28.72
14	58.15	-	-	-	41.85
15	51.58	-	-	-	48.42
16	38.44	-	-	-	61.56
17	25.31	-	-	-	74.69
18	14.29	-	-	-	85.71
19	-	80.38	19.62	-	-
20	-	67.6	32.4	-	-
21	-	54.81	45.19	-	-
22	-	42.03	57.97	-	-
23	-	29.25	70.75	-	-
24	-	19.28	80.72	-	-
25	-	86.08	-	13.92	-
26	-	69.61	-	30.39	-
27	-	53.14	-	46.86	-
28	-	36.67	-	63.33	-
29	-	25.69	-	74.31	-
30	-	14.71	-	85.29	-
31	-	87.57	-	-	12.43
32	-	72.85	-	-	27.15
33	-	58.14	-	-	41.86
34	-	43.42	-	-	56.58
35	-	33.61	-	-	66.39
36	-	23.8	-	-	76.2
37	-	13.99	-	-	86.01
38	-	-	83.53	16.47	-
39	-	-	73.9	26.1	-
40	-	-	64.28	35.72	-
41	-	-	45.03	54.97	-
42	-	-	27.07	72.93	-
43	-	-	6.54	93.46	-
44	-	-	86.37	-	13.63
45	-	-	70.46	-	29.54
46	-	-	54.54	-	45.46
47	-	-	38.62	-	61.38
48	-	-	22.71	-	77.29
49	-	-	14.75	-	85.25

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表 4 焦炭性能

Table 4 Coke performances

No.	CR/%	MSI/%	PRI/%	PSR/%
1	71.98	48.28	61.16	21.88
2	54.94	27.93	57.5	23.15
3	66.15	49.8	58.8	17.51
4	67.31	47.51	59.79	44.64
5	70.4	43.56	60.87	44.77
6	72.93	45.21	57.35	33.65
7	72.5	45.03	58.06	35.96
8	71.48	51.81	56.94	45.59
9	70.94	50.95	59.03	37.81
10	70.26	50.73	61.85	31.61
11	69.45	43.53	62.55	37.49
12	71.42	40.48	65.07	27.5
13	72.84	43.74	62.65	29.56
14	72.83	45.7	53.13	51.78
15	72.63	41.63	63	28.26
16	71.94	47.3	55.37	46.54
17	72.36	50.44	65	32.41
18	70.92	41.85	66.13	28.68
19	55.77	30.18	60.13	15.35
20	64.04	38.43	60.35	20.78
21	61.71	41.42	52.6	34.37
22	65.7	36.04	58.2	17.3
23	65.03	39.81	57.35	14.97
24	62.86	33.89	61.56	39.04
25	61.93	33.51	59.5	22.37
26	65.51	38.06	52.25	49.98
27	67.2	51.77	56.05	52.9
28	67.58	46.21	57.63	46.96
29	66.71	46.47	60.3	40.7
30	67.63	46.89	59.15	42.29
31	57.86	37.37	61.97	15.94
32	63.64	44.97	62.8	13.16
33	68.82	50.96	60.92	23.95
34	69.93	44.23	63.72	21.55
35	69.26	42.33	63.4	31.02
36	70.28	39.37	67.37	23.1
37	71.88	39.71	71.66	20.4
38	69.6	45.24	57.9	26.35
39	69.27	44.28	61.46	16.76
40	68.65	49.76	58.22	30.51
41	69.82	50.4	60.1	30.56
42	69.77	48.02	59.32	40.63
43	69.92	42.64	63.05	34.02
44	68.35	44.3	60.95	20.13
45	71.55	48.73	62.84	25.12
46	73.31	49.32	63.12	30.4
47	71.91	41.33	67	17.87
48	72.45	40.52	73.08	15.3
49	71.92	41.26	69.93	19.46

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表 5 配合煤的质量参数

Table 5 Quality parameters for blended coals

No.	Quality parameters for blended coals
No.	Y_DMC/%	Y_LMC/%	Y_HC/%	V_daf/%	A_d/%	I₃	I₄
1	11.46	20.48	65.33	27.65	7.60	22.69	2.61
2	11.94	26.79	59.15	37.13	8.69	15.03	2.15
3	9.00	19.66	63.62	32.67	8.95	18.66	2.63
4	8.21	12.1	77.52	36.21	11.16	16.97	3.13
5	5.65	12.59	79.38	33.86	10.05	5.86	2.95
6	10.87	18.96	67.55	20.44	8.25	21.65	2.61
7	10.37	17.67	69.41	21.36	8.79	20.77	2.62
8	9.87	16.39	71.28	22.28	9.34	19.90	2.62
9	9.62	15.75	72.22	22.74	9.61	19.46	2.62
10	9.13	14.46	74.08	23.66	10.16	18.58	2.62
11	8.63	13.18	75.95	24.58	10.70	17.71	2.63
12	10.55	19.25	67.52	20.03	7.98	20.07	2.66
13	9.79	18.21	69.37	20.60	8.30	17.86	2.71
14	9.03	17.18	71.21	21.17	8.63	15.65	2.75
15	8.65	16.66	72.13	21.46	8.79	14.54	2.77
16	7.88	15.62	73.98	22.03	9.11	12.33	2.82
17	7.12	14.59	75.82	22.60	9.43	10.12	2.86
18	10.55	19.25	67.52	23.08	9.70	8.26	2.90
19	11.36	25.39	60.03	25.38	8.74	15.74	2.24
20	10.99	24.48	60.60	24.98	8.77	16.21	2.31
21	10.61	23.57	61.17	24.58	8.81	16.67	2.37
22	10.24	22.66	61.74	24.18	8.84	17.13	2.43
23	9.86	21.75	62.31	23.78	8.87	17.60	2.49
24	9.57	21.03	62.76	23.47	8.90	17.96	2.54
25	11.42	24.67	61.71	25.90	9.03	21.89	2.29
26	10.81	22.17	64.73	25.80	9.44	20.95	2.45
27	10.19	19.67	67.76	25.69	9.85	20.01	2.61
28	9.58	17.16	70.78	25.58	10.25	19.07	2.77
29	9.17	15.50	72.80	25.51	10.53	18.44	2.88
30	8.76	13.83	74.82	25.44	10.80	17.81	2.99
31	11.16	25.02	61.66	25.71	8.86	13.89	2.25
32	10.23	22.93	64.64	25.37	9.06	12.54	2.37
33	9.31	20.85	67.62	25.03	9.26	11.19	2.48
34	8.38	18.76	70.60	24.70	9.46	9.84	2.60
35	7.76	17.36	72.58	24.47	9.59	8.94	2.68
36	7.15	15.97	74.57	24.25	9.73	8.04	2.76
37	6.53	14.58	76.55	24.02	9.86	7.13	2.84
38	8.87	18.41	65.91	23.28	9.31	18.38	2.71
39	8.79	17.69	67.25	23.52	9.53	18.22	2.76
40	8.72	16.96	68.59	23.75	9.74	18.06	2.81
41	8.57	15.50	71.26	24.23	10.16	17.73	2.90
42	8.42	14.15	73.76	24.68	10.56	17.43	2.99
43	8.26	12.59	76.61	25.18	11.02	17.08	3.10
44	8.54	19.56	69.22	22.98	9.10	16.92	2.67
45	8.01	18.28	71.09	23.12	9.27	14.88	2.72
46	7.48	16.99	72.97	23.25	9.45	12.84	2.78
47	6.94	15.71	74.84	23.38	9.63	10.80	2.83
48	6.41	14.42	76.71	23.51	9.80	8.77	2.88
49	6.14	13.78	77.65	23.58	9.89	7.75	2.90

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表 6 焦炭质量实验值与预测值的比较

Table 6 Comparison of measured and predicted values for coke quality

No.	CR		MSI		PRI		PSR
	measured	prediction	measured	prediction	measured	prediction	measured	prediction
	deviation /%		deviation /%		deviation /%		deviation /%
41	65.70	65.90	36.04	37.43	58.20	57.48	17.30	18.81
	-0.30		3.86		1.24		-8.73
42	72.83	72.62	45.70	46.12	53.13	53.00	51.78	48.58
	0.29		-0.92		0.24		6.18
43	72.50	72.21	45.03	45.38	58.06	58.13	35.96	34.85
	0.40		-0.78		-0.12		3.09
44	61.93	62.63	33.51	33.95	59.50	59.75	22.37	18.78
	-1.13		-1.31		-0.42		16.05
45	69.77	69.47	48.02	47.89	59.32	61.18	40.63	43.62
	0.43		0.27		-3.14		-7.36
46	71.55	70.78	48.73	48.83	62.84	64.36	25.12	20.49
	1.08		0.21		-2.42		18.43
47	70.94	70.88	50.95	51.57	59.03	60.54	37.81	34.91
	0.08		1.22		-2.56		7.67
48	65.03	64.76	39.81	38.74	57.35	57.97	14.97	18.81
	0.42		2.69		-1.08		-25.65
49	71.88	72.36	39.71	40.87	71.66	71.43	20.40	23.84
	-0.67		2.92		0.32		-16.86
Mean deviation /%	0.53		1.58		1.28		12.22
Maximum deviation /%	1.13		3.86		3.14		25.65
^a：deviation =(measured value-prediction value)/ measured value

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表 7 不同允许相对误差下焦炭质量的命中率

Table 7 Hit rate of coke quality under different allowed relative errors

Allowed relative error /%	CR hit rate /%	MSI hit rate /%	PRI hit rate /%	PSR hit rate /%
10	100	100	100	55.56
5	100	100	100	11.11
4	100	100	100	11.11
3	100	88.89	88.89	0
2	100	66.67	66.67	0

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基于炼焦煤族组成和结构参数的焦炭质量预测模型及其成焦机理

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Prediction model for coke quality and mechanism based on coking coal composition and structure parameters

Corresponding author: QIN Zhi-hong, Tel: 0516-83591059, E-mail: qinzh1210@163.com

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2023年《燃料化学学报（中英文）》评优结果公布！

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基于炼焦煤族组成和结构参数的焦炭质量预测模型及其成焦机理

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Prediction model for coke quality and mechanism based on coking coal composition and structure parameters

Corresponding author: QIN Zhi-hong, Tel: 0516-83591059, E-mail: qinzh1210@163.com

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2023年《燃料化学学报（中英文）》评优结果公布！