用极值统计方法估计轴承钢中最大夹杂物

IF 3.1 2区 材料科学 Q1 METALLURGY & METALLURGICAL ENGINEERING
Chao Tian, Jian-hui Liu, Heng-chang Lu, Han Dong
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引用次数: 9

摘要

详细介绍了一种估算钢中最大夹杂物尺寸的统计方法——极值统计法(SEV)。利用该方法对高清洁度轴承钢(GCr15)中最大夹杂物的特征尺寸进行了评价,并用扫描电子显微镜(SEM)分析了发现的较大夹杂物的形貌和成分。当标准检测区域(S0)为280 mm2时,30个标准检测区域中发现的最大夹杂物特征尺寸为23.93µm,预测的最大夹杂物特征尺寸不大于36.85 pm的概率为99.9%。SEM结果表明,大体积包裹体主要由CaS、铝酸钙和MgO组成。高洁净度轴承钢中大量夹杂物中广泛存在复合。与传统评价方法相比,SEV方法主要关注包裹体大小,不受包裹体类型的影响。SEV法适用于高洁净度轴承钢的夹杂物评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of maximum inclusion by statistics of extreme values method in bearing steel

A statistic method, statistics of extreme values (SEV), was described in detail, which can estimate the size of maximum inclusion in steel. The characteristic size of the maximum inclusion in a high clean bearing steel (GCr15) was evaluated by this method, and the morphology and composition of large inclusions found were analyzed by scanning electron microscopy (SEM). When standard inspection area (S0) is 280 mm2 the characteristic size of the biggest inclusion found in 30 standard inspection area is 23.93 µm, and it has a 99.9% probability of the characteristic size of maximum inclusion predicted being no larger than 36.85 pm in the experimental steel. SEM result shows that large inclusions found are mainly composed of CaS, calcium-aluminate and MgO. Compositing widely exists in large inclusions in high clean bearing steel. Compared with traditional evaluation method, SEV method mainly focuses on inclusion size, and the estimation result is not affected by inclusion types. SEV method is suitable for the inclusion evaluation of high clean bearing steel.

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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
2879
审稿时长
3.0 months
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