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煤泥浮选药剂用量预测模型的研究 被引量:5

Study on Prediction Model of Dosage Value for Slime Floatation
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摘要 在分析研究我国煤泥浮选状况的基础上,对印度预测煤泥浮选药剂(捕收剂和起泡剂)用量的数学模型进行了校正,建立起了符合我国煤泥浮选实际情况的数学模型。根据分步释放试验确定出浮选精煤的产率和灰分,后将该模型计算出的浮选药剂用量与试验所用药剂用量进行对比。结果表明:用预测模型计算出的浮选药剂用量进行浮选试验,得出的浮选精煤实际产率和灰分与要求的精煤产率和灰分仅相差0.06%和0.05%,表明试验药剂用量与该模型预测结果具有良好的一致性。 Based on the analysis and study on the slime floatation status in China,the Indian predictions of the mathematics model for the slime floatation dosage (collecting agent and frothing agent) value were revised and the mathematic model suitable for the actual conditions of the slime floatation in China was established.According the substep released experiment,the cleaned coal production rate and ash content from the floatation was determined.Then the comparison was made between the floatation dosage value calculated from the model and the dosage value required for the experiment.The results showed that the floatation dosage value calculated by the prediction model was applied to the floatation experiment and the actual production rate and ash content obtained from the floated cleaned coal were 0.06% and 0.05% difference to the required cleaned coal production rate and ash content individually and the results showed that the dosage value of the experiment was same good as the prediction results of the model.
出处 《煤炭科学技术》 CAS 北大核心 2010年第12期126-128,共3页 Coal Science and Technology
关键词 煤泥 浮选 药剂用量 预测 数学模型 slime floatation dosage value prediction mathematics model
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