scholarly journals Classification of ultrasonic signals of thermally aged cast austenitic stainless steel (CASS) using machine learning (ML) models

Author(s):  
Jin-Gyum Kim ◽  
Changheui Jang ◽  
Sung-Sik Kang
Author(s):  
J. R. Willis ◽  
D. P. G. Lidbury

The UK Technical Advisory Group on the Structural Integrity of High Integrity Plant (TAGSI) has recently undertaken an assessment of a new method of classification of austenitic stainless steel components based on their safety function and the consequences of their failing to perform that function. The intent of the safety classification is to ensure that the probability of occurrence of any potential failure bears an inverse relation to the severity of its consequence, so that a low risk is incurred from failure of any type. Specifically, TAGSI was invited to: 1. consider circumstances under which Subsection NB of the ASME III Code for Class 1 components contributes adequate margins against gross failure of austenitic stainless steel components classified as High Integrity; and if necessary 2. define additional contributions that need to be met to provide assurance against gross failure of austenitic stainless steel components for the High Integrity severity level. In producing its response, TAGSI interpreted the Question as relating strictly to the austenitic stainless steel pipework and associated welds of the relevant class of PWR systems that have the safety classification of High Integrity. Dissimilar metal welds were excluded from consideration, and it was assumed that a robust EAC prevention strategy is in place. The generic response produced by TAGSI to the above Question is summarised within this framework.


Author(s):  
R. Gonzalez ◽  
L. Bru

The analysis of stacking fault tetrahedra (SFT) in fatigued metals (1,2) is somewhat complicated, due partly to their relatively low density, but principally to the presence of a very high density of dislocations which hides them. In order to overcome this second difficulty, we have used in this work an austenitic stainless steel that deforms in a planar mode and, as expected, examination of the substructure revealed planar arrays of dislocation dipoles rather than the cellular structures which appear both in single and polycrystals of cyclically deformed copper and silver. This more uniform distribution of dislocations allows a better identification of the SFT.The samples were fatigue deformed at the constant total strain amplitude Δε = 0.025 for 5 cycles at three temperatures: 85, 293 and 773 K. One of the samples was tensile strained with a total deformation of 3.5%.


Author(s):  
G. Fourlaris ◽  
T. Gladman

Stainless steels have widespread applications due to their good corrosion resistance, but for certain types of large naval constructions, other requirements are imposed such as high strength and toughness , and modified magnetic characteristics.The magnetic characteristics of a 302 type metastable austenitic stainless steel has been assessed after various cold rolling treatments designed to increase strength by strain inducement of martensite. A grade 817M40 low alloy medium carbon steel was used as a reference material.The metastable austenitic stainless steel after solution treatment possesses a fully austenitic microstructure. However its tensile strength , in the solution treated condition , is low.Cold rolling results in the strain induced transformation to α’- martensite in austenitic matrix and enhances the tensile strength. However , α’-martensite is ferromagnetic , and its introduction to an otherwise fully paramagnetic matrix alters the magnetic response of the material. An example of the mixed martensitic-retained austenitic microstructure obtained after the cold rolling experiment is provided in the SEM micrograph of Figure 1.


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