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Optimization of Composite Excitation of Volcanic Ash Activity in Coal Gasification Slag Based on Response Surface Method
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Chenyang BAI1, Yuxia GUO1, 2, Weiyang HU1, Yunji SHI1, Ying WAN1
Mining Research and Development | 2025, 45(9) : 275 - 286
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Mining Research and Development | 2025, 45(9): 275-286
Optimization of Composite Excitation of Volcanic Ash Activity in Coal Gasification Slag Based on Response Surface Method
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Chenyang BAI1, Yuxia GUO1, 2, Weiyang HU1, Yunji SHI1, Ying WAN1
Affiliations
  • 1.College of Mining Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
  • 2.Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering, Taiyuan, Shanxi 030024, China
Published: 2025-09-25
Outline
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In order to promote the resource utilization of coal gasification slag (CGS), the effect of composite excitation of four activators on the volcanic ash activity of CGS was studied by response surface method. The compressive strength of the prepared samples at different ages was measured respectively, and then the corresponding activity index was calculated to evaluate the volcanic ash activity. Meanwhile, a quaternary quadratic polynomial regression model for the effects of the dosages of four activators on the activity index was established, and the optimal composite excitation ratio of CGS was obtained through multi-objective optimization. The results show that in the process of composite chemical excitation, water glass has the greatest influence on the 3 d and 7 d activity index of CGS, and calcium carbide slag has the greatest influence on the 28 d activity index of CGS. The multivariate correlation coefficients of the three regression equation models are close to 1, which proves that the model has a good fitting effect. Numerical function of Design-Expert software was used to optimize the multi-objective. The optimal ratio of composite chemical excitation is obtained: the dosage of calcium carbide slag, desulfurization gypsum, sodium sulfate anhydrous and water glass is 0.97%, 1.61%, 2.55% and 10%, respectively. The absolute error between the measured value and the predicted value of the activity index on 3 d, 7 d and 28 d is not more than14%, and the relative error is not more than 7%, indicating that the regression model is reliable.

Coal gasification slag  /  Compressive strength  /  Response surface method  /  Composite excitation
白晨阳, 郭育霞, 胡维扬, 史昀辑, 万颖. 基于响应面法的煤气化渣火山灰活性复合激发优化. 矿业研究与开发, 2025 , 45 (9) : 275 -286 .
Chenyang BAI, Yuxia GUO, Weiyang HU, Yunji SHI, Ying WAN. Optimization of Composite Excitation of Volcanic Ash Activity in Coal Gasification Slag Based on Response Surface Method[J]. Mining Research and Development, 2025 , 45 (9) : 275 -286 .
Year 2025 volume 45 Issue 9
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42
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Article Info
  • Receive Date:2024-10-22
  • Online Date:2026-10-28
  • Published:2025-09-25
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  • Received:2024-10-22
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Affiliations
    1.College of Mining Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
    2.Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering, Taiyuan, Shanxi 030024, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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