摘要
利用非稳态热传导反问题(IHCP)数学模型研究了高炉监测热电偶数据与高炉炉衬侵蚀厚度的关系。求解此反问题采用了整个时间域上的空间距离步进迭代算法和离散软化过滤法。根据上海梅山钢铁厂3号高炉采集的热电偶数据,模拟计算得出高炉炉衬剩余厚度随时间的变化关系。模拟结果证明了边界识别算法的可行性及其广阔的应用前景。
The unsteady state inverse heat conduction model is used to study mathematical relation between the monitoring thermocouple data of blast furnace and the erosion thickness of blast furnace lining. A numerical space step-by-step algorithm based on the discrete mollification and the automatic iterative filtering is applied to the solution of a generalized one-dimensional inverse heat conduction problem. Based on the measured thermocouple data from Shanghai Meishan No. 3 blast furnace, a analog calculation is carried out to get the relationship between lining thickness and time. The analog result verified that the algorithm of the erosion boundary identification in the blast furnace is feasible.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
2006年第4期1-5,共5页
Journal of Iron and Steel Research
基金
国家自然科学基金资助项目(60472095)
关键词
热传导反问题
步进迭代法
离散软化法
inverse heat conduction problem
space step-by-step iterative algorithm
discrete mollification
