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Application of Statistics of Extreme Values for Inclusions in Stainless Steel on Different Stages of Steel Making Process
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.
Nippon Yakin Kogyo Co., Ltd., Technical Research Center, Japan.
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.
2011 (English)In: ISIJ International, ISSN 0915-1559, E-ISSN 1347-5460, Vol. 51, no 12, 2056-2063 p.Article in journal (Refereed) Published
Abstract [en]

A statistics of extreme values was applied to determine the largest inclusion sizes in the Type 304 stainless steel. The samples taken from a tundish, slab and hot rolled steel in one heat were examined by using a two dimensional observation of inclusions on a metal cross section. It was found that the molten steel sample contained two different types of inclusions, which were deoxidation products (SiO(2)-CaO-MgO-Al(2)O(3)) and reoxidation products (SiO(2)-MnO-Cr(2)O(3)). As a result, the extreme value distribution (EVD) for different types of inclusions in the melt has two different slopes. Meanwhile, the inclusions in the slab sample provided a good linearity in one EVD. Moreover, the correlation coefficients of the regression lines for both the slab and rolled steel samples increased significantly with an increased number of measurements from 40 to 80 unit areas. It was found also that the EVD data for fractured inclusions on a parallel cross section of rolled steel agreed satisfactorily well with that for the initial spherical inclusions in the slab sample. Based on the geometrical considerations of inclusion deformation and fracture during hot-rolling, the maximum length of fractured inclusions in rolled steel can be estimated reasonably well from the EVD for initial undeformed inclusions in the slab sample.

Place, publisher, year, edition, pages
2011. Vol. 51, no 12, 2056-2063 p.
Keyword [en]
extreme value analysis; largest inclusion; regression line; correlation coefficient; hot rolling; fracture
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-86200ISI: 000298624500018Scopus ID: 2-s2.0-84255204906OAI: oai:DiVA.org:kth-86200DiVA: diva2:500599
Note
QC 20120214Available from: 2012-02-13 Created: 2012-02-13 Last updated: 2017-12-07Bibliographically approved

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