Optimization of flotation reagent system of coal slime based on uniform experimental design
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摘要: 为了研究浮选药剂制度对煤泥浮选的影响，以水峪选煤厂的煤泥为研究对象，基于均匀试验设计方法建立浮选效果与药剂用量之间的数学模型，考察捕收剂和起泡剂用量对浮选效果的影响。研究结果表明：捕收剂在一定的用量范围内，煤泥浮选效果只与起泡剂用量存在相关关系; 最佳的起泡剂用量为75 g/t，适宜的捕收剂用量为130 g/t; 与现场药剂用量捕收剂257 g/t和起泡剂143 g/t相比，在保证精煤灰分不变的情况下，浮选精煤产率提高0.49 %，可燃体回收率提高0.50 %，浮选完善指标提高0.17 %，捕收剂用量降低127 g/t，起泡剂用量降低68 g/t; 当捕收剂用量在一定范围内时，起泡剂用量是影响浮选效果的关键因素，适宜的起泡剂用量可显著提高煤泥分选效果。Abstract: In order to study the influence of flotation reagent system on coal slime flotation, the coal slime of Shuiyu Coal Washing Plant is taken as the research object.Based on the uniform experimental design(UED)method, the mathematical model between flotation effect and reagent dosage is established, and the effect of collector and frother dosage on flotation effect is investigated.The results show that the flotation effect of coal slime is only related to the amount of frother in a certain range of collector dosage; the optimal dosage of frother is 75 g/t, the appropriate dosage of collector is 130 g/t.Compared with the actual production dosage, under the conditions of 257 g/t collector and 143 g/t frother, and the ash content of clean coal kept unchanged, the yield of flotation clean coal is increased by 0.49 %, the combustible material recovery is increased by 0.50 %, the improvement index of flotation is increased by 0.17 %, the dosage of collector is reduced by 127 g/t, and the dosage of frother is reduced by 68 g/t.When the collector dosage is within a certain range, the frother dosage is the key factor affecting the flotation effect, and the appropriate frother dosage can significantly improve the coal slime separation effect.
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图 2 起泡剂用量与浮选完善指标之间的关系
Figure 2. Relationship between frother dosage and flotation perfection index
图 5 捕收剂用量对可燃体回收率和浮选完善指标的影响
Figure 5. Effect of collector dosage on combustible recovery and flotation perfection index
图 6 煤泥分步释放浮选试验结果
β—精煤产率-灰分曲线; ν—尾煤产率-灰分曲线; n—精煤产率-分选次数曲线
Figure 6. Test results of stage released floatation of coal slime
表 1 煤样粒度组成
Table 1. Size analysis of coal sample
粒级/mm 产率/% 灰分/% 筛上累计/% 筛下累计/% 产率 灰分 产率 灰分 >0.5 0.00 0.00 0.00 0.00 100.00 20.28 0.5~0.3 2.65 16.78 2.65 16.78 100.00 20.28 0.3~0.125 17.99 11.76 20.63 12.40 97.35 20.37 0.125~0.076 16.93 10.31 37.57 11.46 79.37 22.33 0.076~0.038 19.05 14.48 56.61 12.48 62.43 25.58 < 0.038 43.39 30.46 100.00 20.28 43.39 30.46 合计 100.00 20.28 — — — — 
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表 2 煤样物相分析结果
Table 2. Results of phase analysis of coal sample
矿物名称 高岭石 石英 合计 含量/% 69.93 30.07 100.00
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表 3 U11*(114)均匀表及试验数据
Table 3. U11*(114)uniform table and test data
试验号 因素水平 浮选完善指标nwf/% A/(g·t-1) B/(g·t-1) A2 B2 AB A3 B3 A2B AB2 1 100 80 10000 6400 8000 1000000 512000 800000 640000 53.680 2 130 180 16900 32400 23400 2197000 5832000 3042000 4212000 49.279 3 160 40 25600 1600 6400 4096000 64000 1024000 256000 54.266 4 190 140 36100 19600 26600 6859000 2744000 5054000 3724000 51.650 5 220 0 48400 0 0 10648000 0 0 0 36.584 6 250 100 62500 10000 25000 15625000 1000000 6250000 2500000 51.847 7 280 200 78400 40000 56000 21952000 8000000 15680000 11200000 51.454 8 310 60 96100 3600 18600 29791000 216000 5766000 1116000 53.885 9 340 160 115600 25600 54400 39304000 4096000 18496000 8704000 52.717 10 370 20 136900 400 7400 50653000 8000 2738000 148000 51.008 11 400 120 160000 14400 48000 64000000 1728000 19200000 5760000 53.728
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表 5 方差分析
Table 5. Anova of uniform design
平方和 自由度df 均方差 F 显著性水平S 回归 227.365 8 28.421 2.675 0.301 残差 21.252 2 10.626 — — 总离差 248.617 10 — — —
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表 6 回归系数
Table 6. Coefficients of uniform design
因素 非标准化系数 标准误差 标准化系数 t值 显著性水平S 常数项 30.617 24.025 — 1.274 0.331 A 0.111 0.316 2.207 0.350 0.760 B 0.551 0.154 7.334 3.582 0.070 A2 -0.001 0.001 -5.827 -0.420 0.716 B2 -0.005 0.002 -14.383 -2.940 0.099 A3 1.008×10-6 0.000 4.287 0.535 0.646 B3 1.267×10-5 0.000 6.882 2.067 0.175 A2B -9.773×10-7 0.000 -1.412 -0.787 0.514 AB2 2.331×10-6 0.000 1.755 0.761 0.526
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表 8 方差分析
Table 8. Anova of uniform design
平方和 自由度df 均方差 F 显著性水平S 回归 206.298 3 68.766 11.375 0.004 残差 42.319 7 6.046 — — 总离差 248.617 10 — — —
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表 9 回归系数
Table 9. Coefficients of uniform design
因素 非标准化系数 标准误差 标准化系数 t值 显著性水平S 常数项 39.182 2.186 — 17.926 0.000 B 0.504 0.100 6.703 5.063 0.001 B2 -0.005 0.001 -13.331 -4.049 0.005 B3 1.314×10-5 0.000 7.140 3.361 0.012
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