基于灰色关联度分析对合金收得率的研究

Research on Alloy Yield Based on Grey Relational Degree Analysis

摘要: 本文选取钢铁提炼时转炉终点温度、转炉终点各金属含量、连铸正样各金属含量以及脱氧合金化时加入各物质的质量作为研究对象，定义了合金收得率的计算公式并计算不同环境下各样本的收得率，并分析不同钢种间收得率的差异性。然后利用边际影响模型分析计算公式中钢水重量和添加的合金料重量对收得率的影响，再建立灰色关联度模型考察其他未参与计算的指标是否会对元素收得率有所影响，根据各指标序列与元素收得率序列关联度大小排序。结果显示，影响碳、锰元素收得率的主要影响因素差别不大，程度大小依次为温度、碳化硅、石油增碳剂、转炉终点S和Mn元素占比。

Abstract: In this paper, the end-point temperature of converter, the end-point metal content of converter, the metal content of normal sample in continuous casting and the quality of added materials during de-oxidization and alloying are selected as the research objects. The calculation formulas of alloy yield are defined and the yield of samples in different environments is calculated, and the difference of yield among different steel species is analyzed. Then the marginal influence model is used to analyze the influence of molten steel weight and added alloy weight on the yield. Then the grey correlation model is established to investigate whether other indices which are not involved in the calculation will affect the yield of elements. The order is based on the correlation degree of each index sequence and the yield sequence of elements. The results show that the main factors affecting the yield of carbon and manganese are not significantly different, and the order of degree is temperature, silicon carbide, petroleum carburant, the proportion of S and Mn at the end of converter.