Improving the technology of extracting coal concentrate from fly ash from thermal power plants

M. Hlukhoveria, I. Mladetskyi, K. Levchenko, O. Borysovska
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Abstract

Purpose. Study on the possibility of extracting coal underfire particles from the ash of the thermal power station by flotation. Intensification of the enrichment process of coal particles, development of a mathematical model for forecasting indicators of the ash function. Methodology. The method of fractional flotation was used to study the kinetics of the process of extraction of the valuable component. The technique of the planned experiment was applied, including the central composite rotatable plan of the second order for four factors affecting the ash content of the coal concentrate. Findings. According to fractional analysis, the concentration limit of coal particles was determined. During the flotation of fly ash, the best results were obtained on the EFM ejector type flotation machine, the yield of the foam product was 18.6 % with an ash content of 25.1 %, compared to the MFU mechanical type flotation machine, where the ash content of the foam product was 36.5 % with an average yield of 21.1 %. The optimal consumption of reagents at the level of no more than 3,500 g/t of the collector and foaming agent up to 250 g/t was determined experimentally, and the required flotation time was determined. Calculations were performed to determine regression coefficients and the degree of influence of factors on the flotation process. A mathematical model of the flotation process of TPP ash removal was determined, which characterizes the influence of the main factors. The graphs of the significance of the factors and the three-dimensional surface of the calculated response function were drawn up. Originality. The degree of influence of factors such as pulp pressure in the feed pipeline, collector consumption, foaming agent consumption, and flotation time on the process of beneficiation of TPP ash on the EFM ejector type flotation machine was determined. Practical value. The complex model makes it possible to predict the final indicators of the response function, namely the ash content of the secondary coal concentrate. The results will make it possible to improve the parameters of technological processes for the enrichment of TPP ashes.
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对火电厂飞灰提煤精矿工艺进行了改进
意图用浮选法从火力发电厂灰渣中提取煤粉颗粒的可能性研究。强化了煤颗粒的富集过程,开发了灰函数预测指标的数学模型。方法论采用分级浮选法研究了有价组分提取过程的动力学。应用计划试验技术,针对影响煤精矿灰分的四个因素,提出了二阶中心复合旋转计划。调查结果。根据分数分析,确定了煤颗粒的浓度限值。在粉煤灰浮选过程中,EFM喷射式浮选机浮选效果最好,泡沫产品收率为18.6% % 灰分为25.1 %, 与MFU机械式浮选机相比,其中泡沫产品的灰分含量为36.5 % 平均收率21.1 %. 通过实验确定了在不超过3500g/t的捕收剂和高达250g/t的发泡剂水平下试剂的最佳消耗量,并确定了所需的浮选时间。进行计算以确定回归系数和各因素对浮选过程的影响程度。建立了TPP浮选除灰过程的数学模型,表征了主要因素的影响。绘制了各因素的显著性图和计算的响应函数的三维表面。独创性确定了在EFM喷射式浮选机上,进料管道内的矿浆压力、捕收剂用量、发泡剂用量和浮选时间等因素对TPP灰选矿过程的影响程度。实用价值。复杂的模型可以预测响应函数的最终指标,即二次煤精矿的灰分。研究结果将为改进TPP灰富集工艺参数提供可能。
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CiteScore
1.70
自引率
0.00%
发文量
148
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