基于响应曲面法优化全尾砂絮凝沉降实验研究
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摘要
为使全尾砂絮凝沉降效果最佳,应用Box-Behnken试验设计方法建立数学模型,选择絮凝剂单耗、絮凝剂溶液浓度和尾砂浆质量浓度为影响因子,以单位面积固体处理能力为响应值,进行响应曲面分析,得到全尾砂絮凝沉降最佳参数为:絮凝剂单耗36.04g/t,絮凝剂溶液浓度0.30%,尾砂浆质量浓度21.02%,在此条件下的单位面积固体处理能力为3.14t·h-1·m-2。矿山现场实测得单位面积固体处理能力为3.16t·h-1·m-2,误差仅为0.63%,说明采用响应曲面法对全尾砂絮凝沉降影响因素进行分析是可靠的。
In order to obtain the best flocculation settlement of unclassified tailings,the mathematical model was built by Box-Behnken method.For the response surface analysis,the flocculant consumption,flocculant solution concentration and tailings mass concentration were selected as the influencing factors and the solid processing volume per unit area was selected as the response value.The best parameters of flocculation settlement were obtained.Under 36.04 g/t of flocculant consumption,0.30% of flocculant solution concentration and 21.02% of tailings mass concentration,the solid processing volume per unit area was calculated as 3.14t·h-1·m-2and was measured as 3.16t·h-1· m-2 in mine field,which only had difference of 0.63%.The results showed that the response surface methodology was reliable for analyzing the influencing factors of flocculation settlement.
In order to obtain the best flocculation settlement of unclassified tailings,the mathematical model was built by Box-Behnken method.For the response surface analysis,the flocculant consumption,flocculant solution concentration and tailings mass concentration were selected as the influencing factors and the solid processing volume per unit area was selected as the response value.The best parameters of flocculation settlement were obtained.Under 36.04 g/t of flocculant consumption,0.30% of flocculant solution concentration and 21.02% of tailings mass concentration,the solid processing volume per unit area was calculated as 3.14t·h-1·m-2and was measured as 3.16t·h-1· m-2 in mine field,which only had difference of 0.63%.The results showed that the response surface methodology was reliable for analyzing the influencing factors of flocculation settlement.
引文
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[16]母哲轩,王华林,孙敏,等.微生物絮凝剂絮凝条件的响应曲面法优化[J].环境化学,2010,29(2):241-245.
[17]王洪江,陈琴瑞,吴爱祥.全尾砂浓密特性研究及其在浓密机设计中的应用[J].金属矿山,2011(6):676-681.
[2]刘晓辉,吴爱祥,王洪江,等.膏体充填尾砂浓密规律初探[J].金属矿山.2009(09):38-41.
[3]刘凯,等.大红山铜矿全尾砂絮凝沉降的实验研究[J].中国矿业,2008(12):60-63.
[4]王洪武,吴爱祥,刘超,等.五道岭钼矿全尾砂絮凝沉降实验研究[J].昆明理工大学学报(理工版),2010(02):1-4.
[5]焦华喆,吴爱祥,王洪江,等.全尾砂絮凝沉降特性实验研究[J].北京科技大学学报.2011(12):1437-1441.
[6]吴爱祥,周靓,尹升华,等.全尾砂絮凝沉降的影响因素[J].中国有色金属学报,2016,26(02):439-446.
[7]彭乃兵,吴爱祥,王洪江,等.全尾砂絮凝沉降工艺研究[J].矿业研究与开发,2015,35(07):35-38.
[8]Hogg R.Flocculation and dewatering[J].International Journal of Mineral Processing,2000,58(1):223-236.
[9]李志华.影响絮凝沉降过程的主要因素[J].矿冶工程,1991(1):32-36.
[10]王星,瞿圆媛,胡伟伟,等.尾砂浆絮凝沉降影响因素的实验研究[J].金属矿山.2008(5):149-151.
[11]王辉,杨静,安骞,等.超细全尾砂沉降实验研究[J].矿业工程,2011(5):27-29.
[12]张钦礼,王登辉,王新民,等.超细全尾砂絮凝沉降实验研究[J].广西大学学报(自然科学版),2013(02):451-455.
[13]王建军,许文远,郭利杰.全尾砂絮凝沉降规律研究[J].中国矿业,2012(06):92-94.
[14]焦华喆,王洪江,吴爱祥,等.全尾砂絮凝沉降规律及其机理[J].北京科技大学学报,2010(06):702-707.
[15]Donis-González I R,Guyer D E,Pease A.Application of response surface methodology to systematically optimize image quality in computer tomography:A case study using fresh chestnuts(Castanea spp.)[J].Computers and Electronics in Agriculture,2012,87:94-107.
[16]母哲轩,王华林,孙敏,等.微生物絮凝剂絮凝条件的响应曲面法优化[J].环境化学,2010,29(2):241-245.
[17]王洪江,陈琴瑞,吴爱祥.全尾砂浓密特性研究及其在浓密机设计中的应用[J].金属矿山,2011(6):676-681.