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J. Hefei Univ. Tech. (Nat. Sci.)

合肥工业大学学报(自然科学版)

JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY (NATURAL SCIENCE)

Competent Authorities: Ministry of Education of the People's Republic of China

Sponsor by: Hefei University of Technology

ISSN 1000-1646, CN 34-1001/N

Experimental study on the optimization of coal flotation desulfurization and ash reduction by response surface methodology

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响应曲面法优化煤浮选脱硫降灰试验研究

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Jun.2024, Vol.47 No.6: 803-809

DOI: 10.3969/j.issn.1003-5060.2024.06.013

Authors

CHEN Jun, MA Yezhen, FAN Lezhen, WEI Fengyu

(School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, China)

Abstract and Keywords

Abstract: Taking a flotation feeding coal(ZF coal) in Shanxi Province as the test coal sample, the optimization of coal flotation desulfurization and ash reduction process conditions was studied by the Box-Behnken response surface methodology(RSM) using non-ionic surfactant Span20 emulsified kerosene as the collector. The dosages of collector, foaming agent and inhibitor were selected as three main influencing factors. The software Design Expert 8.0.6 was used to analyze and calculate the test data, and the regression equations between the desulfurization rate, deashing rate, flotation perfection and the three influencing factors were obtained by fitting. The optimum flotation process conditions are as follows: collector dosage of 300 g/t, foaming agent dosage of 116 g/t and inhibitor dosage of 123 g/t. Under these process conditions, the theoretical flotation desulfurization rate is 9.45%, deashing rate is 28.51% and flotation perfection is 17.54%. The experimental results are consistent with the theoretical values, indicating that the model is effective and the optimization scheme is credible.

Keywords: coal flotation; emulsified kerosene; surfactant; process optimization; response surface methodology(RSM)

作者信息

陈俊，马业真，范乐珍，魏凤玉

（合肥工业大学化学与化工学院，安徽合肥 230009）

摘要和关键词

摘要: 文章以山西某浮选入料煤（ZF煤）为试验煤样，选择非离子型表面活性剂Span20乳化煤油作为捕收剂，并采用Box-Behnken响应曲面法（response surface methodology，RSM）对煤样浮选脱硫降灰工艺条件进行优化。选取捕收剂用量、起泡剂用量和抑制剂用量为3个主要影响因子，利用Design Expert 8.0.6软件对试验数据进行分析计算，拟合得到脱硫率、脱灰率、浮选完善度与3个影响因子之间的回归方程；得到的最佳浮选工艺条件为：捕收剂用量300 g/t、起泡剂用量116 g/t、抑制剂用量123 g/t，在该工艺条件下，理论浮选脱硫率为9.45%、脱灰率为28.51%、浮选完善度为17.54%。验证试验结果与理论值吻合，说明该模型有效、优化方案可信。

关键词: 煤浮选；乳化煤油；表面活性剂；工艺优化；响应曲面法（RSM）

Funding

安徽省科技重大专项计划资助项目（17030901082）

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