基于铁矿粉的高温性能特征数指导烧结配矿

??In order to guide the ordination of sintering production?? high temperature performance characteristic numbers were used to study the high temperature performance of iron ore fines. The high temperature performance characteristic numbers of iron ore powder combined with various information parameters of sintering process?? which could characterize the high temperature characteristics more accurately and comprehensively. Based on the experimental analysis of 7 single ore fines?? different kinds of equal performance ore fines in the mixed ore were replaced according to their high temperature performance difference?? and the high temperature performance of the mixed ore after replacement was analyzed. Then the quality fluctuation of sintered ore before and after replacement was verified through industrial experiments. It is found through the experiments that within a certain percentage?? the high temperature performance characteristic numbers of mixed ore powder change little and the high temperature performance of the mixed ore remains stable basically during the equal performance replacement. The tumbler strength of sinter is maintained at a stable level?? and the quality meets the requirement of the blast furnace production?? which can be used to guide the ore proportioning and provide reference for actual sintering production.     

基于铁矿粉的高温性能特征数指导烧结配矿

为了指导烧结生产配矿,利用高温性能特征数对铁矿粉的高温性能进行研究。铁矿粉的高温性能特征数结合了烧结过程的各种信息参数,从而能够更加准确、全面地表征烧结铁矿粉的高温基础特性。在对7种单一矿粉进行实验分析的基础上,按照其高温性能差异,将混合矿粉中的等性能矿粉进行置换,分析置换前后混合矿的高温性能变化,并通过工业实验,验证置换前后烧结矿的质量波动。实验结果表明,在一定比例范围内,等性能矿粉置换,混合矿粉高温性能特征数变化不大,高温性能稳定,生产出烧结矿转鼓强度保持在稳定水平,质量满足高炉生产要求。可用于指导烧结配矿,为实际烧结生产提供参考依据。     

分段尝试法研究碱金属对铁氧化物还原的影响北大核心CSCD

为了研究碱金属在高炉内对Fe2O3还原的影响,采用热重分析方法研究含有不同碱金属含量的Fe2O3在不同温度下的还原特性。通过分析试样的还原度曲线,讨论温度和碱金属含量对还原过程的影响,发现随着温度的升高,反应速率增加,试样的还原度增加,接近完全还原的反应时间缩短;Na2O对Fe2O3的还原有抑制作用,抑制作用随着Na2O含量增加而加强,但这种抑制作用随着Na2O含量增加不是均匀增长的,会存在饱和点。针对还原过程的特点,采用分段尝试法建立了前期化学反应控速的未反应核模型和后期收缩核内扩散模型,并对实验数据进行分段拟合,求得相关动力学参数,同时定量地给出了不同的温度条件下2种控制转换的时间点。从拟合结果看,实验数据和模型取得了很好的吻合,说明所建模型与实际情况相符。     

回归算法对软件缺陷个数预测模型性能的影响

针对已有研究在评价软件缺陷个数预测模型性能时没有考虑到软件缺陷数据集存在数据不平衡的问题而采用了评估回归模型的不合适的评价指标的问题,提出以平均缺陷百分比作为评价指标,讨论不同回归算法对软件缺陷个数预测模型性能的影响程度。利用PROMISE提供的6个开源数据集,分析了10个回归算法对软件缺陷个数预测模型预测结果的影响以及各种回归算法之间的差异。研究结果表明：使用不同的回归算法建立的软件缺陷个数预测模型具有不同的预测效果,其中梯度Boosting回归算法和贝叶斯岭回归算法预测效果更好。