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作 者:周靓[1,2] 吴爱祥[1,2] 彭乃兵[1,2] 尹升华[1,2] 王洪江[1,2] 孙伟[1,2]
机构地区:[1]北京科技大学土木与环境工程学院,北京100083 [2]北京科技大学金属矿山高效开采与安全教育部重点实验室,北京100083
出 处:《矿业研究与开发》2016年第7期26-30,共5页Mining Research and Development
基 金:国家自然科学基金项目(51374035);新世纪优秀人才支持计划资助项目(NCET-13-0669);全国优秀博士学位论文作者专项基金资助项目(201351)
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 railings, 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 influen- cing 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 con- centration and 21.02% of tailings mass concentration, the solid processing volume per unit area was calculated as 3.14 t h-1 m-2and was measured as 3.16 t 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 settle- ment.
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