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Feasibility of using ultrasound-assisted process for sulfur and ash removal from coal

机译:使用超声波辅助工艺去除煤中硫和灰分的可行性

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摘要

The present work investigates utilization of ultrasound in reagent-based coal de-ashing and de-sulfurization. The coal under study was received from Girald mine, Rajasthan, India. Three different ultrasonic frequencies (25 kHz, Dual (58/192 kHz) and 430 kHz) and three reagents (HCl, HNO3 and H2O2) were used. The study employed a Taguchi fractional-factorial L27 DOE. Experimental data were used to derive an empirical model for the prediction of total sulfur removal. The model incorporates cavitational intensity, reagent concentration, sonication time, coal particle size and coal concentration as key parameters. Effects of above factors on reagent-based ultrasonic coal-desulfurization are presented here. An optimum set of process parameters are identified and validated. Larger-scale trial with high-ash and high-sulfur coals is strongly recommended.
机译:本工作研究了超声在基于试剂的煤灰分和脱硫中的利用。所研究的煤炭是从印度拉贾斯坦邦的吉拉尔德矿获得的。使用了三种不同的超声频率(25 kHz,双重(58/192 kHz)和430 kHz)和三种试剂(HCl,HNO3和H2O2)。该研究采用了田口分数阶L27 DOE。实验数据被用来推导预测总硫去除量的经验模型。该模型将空化强度,试剂浓度,超声处理时间,煤颗粒大小和煤浓度作为关键参数。本文介绍了以上因素对基于试剂的超声煤脱硫的影响。确定并验证了一组最佳工艺参数。强烈建议使用高灰分和高硫煤进行大规模试验。

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