Kinetics of the martensitic transformation in low-alloy steel studied by means of acoustic emission

2003 ◽  
Vol 51 (14) ◽  
pp. 4183-4196 ◽  
Author(s):  
S.M.C. van Bohemen ◽  
J. Sietsma ◽  
M.J.M. Hermans ◽  
I.M. Richardson
Keyword(s):  
Acoustic Emission ◽  
Martensitic Transformation ◽  
Alloy Steel ◽  
Low Alloy Steel ◽  
Kinetics Of

scholarly journals Martensitic Transformation of Retained Austenite in Ferrite Matrix for Low Alloy Steel

2018 ◽  
Vol 59 (5) ◽  
pp. 712-716
Author(s):  
Takayuki Yamashita ◽  
Norimitsu Koga ◽  
Osamu Umezawa
Keyword(s):  
Martensitic Transformation ◽  
Alloy Steel ◽  
Retained Austenite ◽  
Ferrite Matrix ◽  
Low Alloy Steel

scholarly journals Application of classification neural networks for identification of damage stages of degraded low alloy steel based on acoustic emission data analysis

2020 ◽  
Vol 20 (4) ◽  
Author(s):  
Joanna Krajewska-Śpiewak ◽  
Igor Lasota ◽  
Barbara Kozub
Keyword(s):  
Neural Networks ◽  
Acoustic Emission ◽  
Alloy Steel ◽  
Learning Algorithm ◽  
Structural Condition ◽  
Oil Refinery ◽  
Low Alloy Steel ◽  
Emission Data ◽  
Methodology Development ◽  
Static Tensile

Abstract The paper presents the influence of low alloy steel degradation on the acoustic emission (AE) generated during static tension of notched specimen. The material was cut from a technological pipeline long-term operated in the oil refinery industry. Comparative analysis of AE activity generated by damage process of degraded and new material has been carried out. The different AE parameters were used to detect different stages of fracture process of low alloy steel under quasi-static tensile test. Neural networks with three layers were created with Broyden–Fletcher–Goldfarb–Shanno learning algorithm for a database analysis. The different AE parameters were included in the input layer. Classification neural networks were created in order to determine the stages of material degradation. The results obtained from the carried out studies will be used as the basis for new methodology development of the assessment of the structural condition of in-service equipment.

Influence of Mn on kinetics of P segregation in low-alloy steel

Metal Science ◽  
1982 ◽  
Vol 16 (9) ◽  
pp. 431-434 ◽  
Author(s):  
J. F. Smith ◽  
J. H. Reynolds ◽  
H. N. Southworth
Keyword(s):  
Alloy Steel ◽  
Low Alloy Steel ◽  
Kinetics Of
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