利用鞍钢烧结灰渣开发尾砂胶凝材料正交试验与决策

发布时间：2019-06-12 15:22

【摘要】：烧结脱硫灰渣是焦化厂生产炼钢焦煤排放的废弃物。由于脱硫灰渣含有游离氧化钙和亚硫酸钙等不稳定的矿物成分,导致烧结脱硫灰渣资源利用面临困难。针对鞍钢矿山全尾砂无废充填法开采,以矿渣微粉和烧结脱硫灰渣作为主要材料,熟料和硫酸盐为复合激发剂,对鞍钢矿山全尾砂充填胶凝材料进行开发。首先开展充填胶凝材料配比的正交试验;然后,在极差分析的基础上,建立神经网络模型和预测能力,揭示胶凝材料复合激发剂配比对充填体强度影响规律;最后,综合极差分析和预测分析结果,获得了利用烧结脱硫灰渣开发的全尾砂胶凝材料的最优配方。结果显示:以鞍钢全尾砂作为充填料,胶砂比为1∶6和浓度为70%的胶凝材料最优配比为:熟料4%,脱硫灰渣19%,芒硝0.5%,矿渣微粉76.5%,充填体28 d,强度最高达到3.883 MPa,是相同条件下水泥胶结充填体强度的1.7倍,但材料成本仅是水泥的40%~45%。
[Abstract]:Sintering desulphurization ash is the waste discharged from coking plant to produce steelmaking coke coal. Because desulphurization ash contains unstable mineral components such as free calcium oxide and calcium sulfite, it is difficult to utilize sintered desulphurization ash resources. Aiming at the mining of full tailings without waste filling method in Angang mine, the cementitious material of full tailings filling in Angang mine was developed by using slag powder and sintered desulphurization ash slag as the main materials and clinker and sulfate as composite activating agent. Firstly, the orthogonal test of the ratio of filling cementitious materials is carried out; then, on the basis of extreme difference analysis, the neural network model and prediction ability are established to reveal the influence of the ratio of composite exciter of cementitious materials on the strength of filling body. Finally, the optimal formula of the whole tailings cementitious material developed by sintering desulphurization ash is obtained by synthesizing the results of extreme difference analysis and prediction analysis. The results show that the optimum ratio of cement to sand is 4% clinker, 19% desulphurization slag, 0.5% mirabilite, 76.5% slag powder, 28 MPa, filling body and 3.883 MPa, but the material cost is only 40% and 45% of that of cement under the same conditions.
【作者单位】：北京科技大学;鞍钢集团矿山设计研究院;
【基金】：国家高技术研究发展计划(863计划)(SS2012AA062405)
【分类号】：TD853.343

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