Cluster analysis of acoustic emission signals in pitting corrosion of low carbon steel

2015 ◽  
Vol 46 (7) ◽  
pp. 736-746 ◽  
Author(s):  
H. Bi ◽  
Z. Li ◽  
D. Hu ◽  
I. Toku-Gyamerah ◽  
Y. Cheng
Keyword(s):  
Cluster Analysis ◽  
Acoustic Emission ◽  
Carbon Steel ◽  
Pitting Corrosion ◽  
Low Carbon Steel ◽  
Low Carbon

Feature Extraction of the Acoustic Emission Signals of Low Carbon Steel Pitting Corrosion Based on Independent Component Analysis and Wavelet Transform

2013 ◽  
Vol 373-375 ◽  
pp. 677-680
Author(s):  
Wei Li ◽  
Yu Li Gong ◽  
Yang Yu
Keyword(s):  
Acoustic Emission ◽  
Carbon Steel ◽  
Independent Component Analysis ◽  
Pitting Corrosion ◽  
Wavelet Transformation ◽  
Low Carbon Steel ◽  
Component Analysis ◽  
Independent Component ◽  
Low Carbon ◽  
Ae Signals

Based on the characteristics of the acoustic emission (AE) signals from low carbon steel pitting corrosion, a new extraction method was proposed with wavelet transformation and independent component analysis. The experiment result shows that the new method can overcome the influence induced by the uncertainty of the independent source of low carbon steel pitting corrosion and good extraction result can be achieved.

Cluster Analysis of Acoustic Emission Signals During Carbon Steel Pitting Corrosion Process

2014 ◽  
Author(s):  
Zhongzheng Zhang ◽  
Cheng Ye ◽  
Jun Jiang
Keyword(s):  
Cluster Analysis ◽  
Acoustic Emission ◽  
Carbon Steel ◽  
Ferric Chloride ◽  
Pitting Corrosion ◽  
Chloride Solution ◽  
Ferric Chloride Solution ◽  
Corrosion Process ◽  
Different Types ◽  
Ae Signals

In order to study acoustic emission (AE) signals characteristics of pitting corrosion on carbon steel, Pitting corrosion process on carbon steel in 6% ferric chloride solution was monitored by AE technology. K-mean cluster algorithm was used to classify the monitored AE signals, in which the duration, counts, amplitude, absolute energy and peak frequency were analyzed as the AE signals characteristics, and different types AE sources were identified. The results showed that there were mainly three type AE sources during carbon steel pitting corrosion process in ferric chloride solution, and the different types AE sources could be classified by cluster analysis. The research results have some certain significance for AE monitoring of pitting corrosion on carbon steel.

Effects of Stress on Pitting Corrosion Behavior of Low-Carbon Steel

2013 ◽  
Author(s):  
Huaixiang Cao ◽  
Hao Zhang ◽  
Xingqi Qiu
Keyword(s):  
Carbon Steel ◽  
Corrosion Behavior ◽  
Pitting Corrosion ◽  
High Stress ◽  
Low Carbon Steel ◽  
Pressure Vessels ◽  
Structural Safety ◽  
Low Carbon ◽  
Corrosion Morphology ◽  
Accelerated Corrosion

Low-carbon steel Q235B was widely used in low or middle pressure equipments, which were not only withstanding the corrosive effect of the environment or medium, but also the high stress in service processes. In this paper, acetic acid accelerated corrosion test of low-carbon steel Q235B under the action of various stress levels was conducted, and its pitting corrosion behavior was studied by corrosion morphology, pitting corrosion parameters, scanning electron microscope (SEM) and energy disperse spectroscopy (EDS). The results showed that, the degree of pitting corrosion of low carbon steel Q235B with stress was more serious than that of non-stress. And the corrosion started from grain boundary, which was corroded before grain itself, and then grains fell off or dissolved. Furthermore, it would have the tendency of deep hole corrosion with stress, which was more of a threat to the structural safety of pressure vessels.

scholarly journals Pengaruh Perlakuan Shot Peening Terhadap Korosi Retak Tegang Baja Karbon Rendah Pada Lingkungan Korosif

2011 ◽  
Vol 1 (2) ◽  
Author(s):  
S. Sujita
Keyword(s):  
Carbon Steel ◽  
Stress Corrosion ◽  
Stress Corrosion Cracking ◽  
Pitting Corrosion ◽  
Shot Peening ◽  
Sea Water ◽  
Water Environment ◽  
Low Carbon Steel ◽  
Corrosion Cracking ◽  
Low Carbon

The aim of this study is to investigate the effect of shot peening on stress corrosion cracking of a low carbon steel in ocean water environment. The dimension of specimens were prepared in accordance with the ASTM G39. The hardness testing was carried out using microvickers with 0,25 kgf load in the longitudinal direction. The corrosion cracking test was immersed into artificial sea water for about 7 months. The test shows that the pitting corrosion is dominantly nucleated at the metal film interface. The biggest pitting corrosion was occurred under the static loading of 70 for the specimens unpeened. The presence of pitting corrosion promotes stress corrosion cracking. The cracking has a intergranular branched morphology which is typical for the chloride cracking of low carbon steel

Detection and Identification of Different Metal Materials with Same Damage of Stretching Based on Acoustic Emission in Audible Domain

2013 ◽  
Vol 419 ◽  
pp. 321-327
Author(s):  
Yun Tao Lu ◽  
Zong Bai Deng ◽  
Ya Yuan ◽  
Qing Xu ◽  
Can Zhang
Keyword(s):  
Acoustic Emission ◽  
Carbon Steel ◽  
Low Carbon Steel ◽  
Tensile Tests ◽  
Parameter Analysis ◽  
Metallic Materials ◽  
Low Carbon ◽  
Detection And Identification ◽  
Calculation Results ◽  
Metal Materials

Analysis of metallic materials damage signal is effective for studying strength failure.Domestic and foreignscholars do much workbased on acoustic emission due to its real-time detection. Most researches are in ultrasonic region, few in audible domain. In this paper, taking low-carbon steel and cast iron as an example, we collected acoustic emission signals during tensile tests. Thenestablishassociated diagrams of processed signals, with multivariable parameter analysis used for eigenvalue processing. After normalizing data,wefigured out ranges of synthetic parameters. The experiment and calculation results show that eigenvalue of every low-carbon steel in one certain event is greater than cast iron’s. As a result,synthetic parameters canmake significant effect in detecting and identifying different metal materials

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