The classification of acoustic emission signals of 304 stainless steel during stress corrosion process based on K-means clustering

被引：17
作者：
Li, Jian [1 ]
Du, Gang [1 ]
Jiang, Chen [1 ]
Jin, Shijiu [1 ]
机构：
[1] Tianjin Univ, State Key Lab Precis Measurement Technol & Instru, Tianjin 300072, Peoples R China
来源：
ANTI-CORROSION METHODS AND MATERIALS | 2012年 / 59卷 / 02期
关键词：
Stainless steel; Stress corrosion; 304 stainless steel; Acoustic emission; Slow strain rate testing; Characteristics analysis; STAINLESS-STEEL; CRACKING;
D O I：
10.1108/00035591211210848
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
Purpose - The purpose of this paper is to classify and identify the acoustic emission (AE) signals of 304 stainless steel during stress corrosion process. Design/methodology/approach - The corrosion behavior of a specimen during slow strain rate testing (SSRT) in acidic NaCl solution was studied. The AE signals during the corrosion process were classified based on K-means cluster algorithms; meanwhile, the characteristics of different AE sources were analyzed. Findings - The results indicated that the AE characteristics of different AE sources, such as pitting, cracking, and bubble break-up, differ significantly. The 304 stainless steel was prone to the occurrence of stress corrosion cracking under the SSRT condition in acidic NaCl solution. Originality/value - The characteristics of different AE sources during corrosion process were gained for the first time, which could be of much help in analyzing and judging the corrosion situation.
引用
收藏
页码：76 / 80
页数：5
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