Quantitative Study on Nonmetallic Inclusion Particles in Steels by Automatic Image Analysis With Extreme Values Method

作     者：Cássio Barbosa José Brant de Campos Jneo Lopes do Nascimento Iêda Maria Vieira Caminha 

作者机构：National Institute of Technology 

出 版 物：《Journal of Iron and Steel Research International》 (J. Iron Steel Res. Int.)

年 卷 期：2009年第16卷第4期

页      面：18-21,32页

核心收录：

学科分类：08[工学] 080502[工学-材料学] 0805[工学-材料科学与工程（可授工学、理学学位）] 

主　　题：image analysis steel microstructure nonmetallic inclusion 

摘      要：The presence of nonmetallic inclusion particles which appear during steelmaking process is harmful to the properties of steels, which is mainly as a function of some aspects such as size, volume fraction, shape, and distribution of these particles. The automatic image analysis technique is one of the most important tools for the quantitative determination of these parameters. The classical Student approach and the Extreme Values Method （EVM） were used for the inclusion size and shape determination and the evaluation of distance between the inclusion particles. The results thus obtained indicated that there were significant differences in the characteristics of the inclusion particles in the analyzed products. Both methods achieved results with some differences, indicating that EVM could be used as a faster and more reliable statistical methodology.