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机构地区:[1]中南大学资源与安全工程学院,国家金属矿安全科学技术研究中心,长沙410083
出 处:《科技导报》2009年第3期46-50,共5页Science & Technology Review
基 金:国家"十一五"科技支撑计划项目(2006BAK04B03)
摘 要:为研究硫化矿石自燃早期的氧化自热发展状况与规律,并寻求最优识别指标,对具有自燃倾向性的硫化矿石进行堆矿试验。试验结果表明,在矿石氧化自热的孕育期、发展期和邻近自燃期,氧浓度会有所减少。总体在17%~18%间波动,不能识别氧化所处的阶段;只有在临近自燃期才能测出SO。,同样不能作为自燃早期的征兆;矿堆温度的变化,明显反映了矿石堆氧化、自热至自燃这一过程。适宜作为早期预测矿石自燃的指标。应用指数曲线法建立了预测硫化矿石堆温度的数学模型。计算结果表明。预测模型准确、直观地反映了硫化矿石氧化自热的孕育期、发展期和邻近自燃期3个阶段。对矿石堆自燃火灾的早期预防有重要的理论价值和实践意义。This paper presents the experimental studies on the tendency of the spontaneous combustion of sulfide ore dump during early stage. It is shown that the oxygen concentration keeps almost unchanged in incubation period, development period and period near self-ignition, varying in a range of 17%-l$%. In addition, the S02 concentration can be identified only in the period near self- ignition. However, the temperature variation of sulfide ore dump, as an obvious indicator in the process from oxidization and self- beating to self-ignition, proves to be the best index for predicting the tendency of the spontaneous combustion of sulfide ore dump. Based on a few existing temperatures data, it is possible to predict the temperatures by means of the exponential curve method and the results of prediction show that the forecast model is very effective. As a result, this model can be used in the mining safety and security practice.
分 类 号:TD752.2[矿业工程—矿井通风与安全]
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