摘要
基于预埋在高炉炉缸内热电偶反馈的温度数据,联合数值传热计算和最优化理论的梯度下降法寻找最优化的边界移动步长因子,建立了高炉炉缸侵蚀监测模型.应用建立的模型可有效求解未知边界的传热反问题.将热电偶反馈的监测数据作为输入数据,应用建立的炉缸侵蚀监测模型对其进行未知边界问题反演求解,计算得到了炉缸内衬侵蚀形貌和残厚.把已知炉缸侵蚀形貌和相应的热电偶测温数据的高炉炉缸作为校验模型样本,模型预测与样本的侵蚀形貌对比表明其相对误差平均值为3.6%,确认了炉缸侵蚀监测模型的可靠性.
A hearth erosion monitoring model for blast furnace was proposed based on the temperature data from the embedded thermocouples in the blast furnace hearth, and combining the numerical heat transfer calculation and gradient descent method of optimization theory to find the optimum boundary moving step length factor. The unknown-boundary inverse heat-transfer problem can be effectively solved with the model. Using the monitoring temperature data from therrnocouples as input, the hearth inner lining erosion profile and residual thickness were computationally obtained by the proposed model through solving the unknown-boundary heat- transfer problem. Taking the collected known hearth erosion profiles and the corresponding temperature data from thermocouples as check samples, the comparison shows that the average relative error of the model prediction is about 3.6% , and the reliability of the model is thus confirmed.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第1期57-62,共6页
Journal of Northeastern University(Natural Science)
基金
辽宁省教育厅科研项目(L2011228)
国家科技支撑计划项目(2011BAE04B01
2011BAE04B02)
关键词
边界移动法
梯度下降法
炉缸侵蚀
监测模型
高炉
boundary movement method
gradient descent method
hearth erosion
monitoring model
blast furnace
