应用极值统计法推算钢中最大夹杂物尺寸  

Estimation of the maximum granularity of inclusions in steel with the statistic extreme method

作　　者：唐复平[1] 栗红[2] 常桂华[2] 陈本文[2] 杨亮[2] 薛占强[3] 

机构地区：[1]鞍钢股份有限公司,辽宁鞍山114001 [2]鞍钢股份有限公司技术中心,辽宁鞍山114009 [3]鞍钢股份有限公司化工总厂,辽宁鞍山114001

出　　处：《冶金分析》2007年第9期17-21,共5页Metallurgical Analysis

摘　　要：随着钢洁净度的提高,钢中大尺寸的非金属夹杂物出现几率很低,常规的夹杂物检测方法很难捕捉到,但这些大尺寸夹杂物严重影响产品的质量。本文介绍了采用极值统计方法推测钢中最大夹杂物尺寸,其原理是确定子样个数,测出子样夹杂物最大粒度(子样夹杂物最大粒度呈极值分布,其最大值则服从特定的Gumbel分布函数),根据计算出的累积概率密度、标准量和子样的最大夹杂粒度,推测试样最大夹杂物粒度值。采用该方法研究了低碳铝脱氧钢铸坯中夹杂物,将推测结果与其他分析方法进行了比较,结果表明,极值统计法可以作为估计钢中最大夹杂物粒度的一种方法。The regular measurements have a certain difficulty in detecting the large size of non-metallic inclusions that can seriously affect the quality of products, because of their low occurrence probability with the improvement of the purity of steel. In this paper, the statistic extreme method was introduced to estimate the size of the maximum inclusion in steel. The principle of this method is as follows the maximum granularity of inclusion in sub-sample, which appears to be an extramum distribution and o- beys the Gumbel distribution function in the maximum value, is measured after the amounts of sub- sample are decided. The maximum granularity of inclusions in steel samples can be evaluated on the base of accumulated probability density, standard quantity, and the maximum granularity of inclusions in sub-samples. The method has been applied to research the inclusions in slabs of low-carbon steels, which is deoxidated by Al,and the results are conformity with those of other methods,indicating the effectiveness of method in evaluation of the maximum granularity of inclusions in steel.

关 键 词：极值统计法 夹杂物粒度 残渣法 

分 类 号：TF703[冶金工程—钢铁冶金]