2001
DOI: 10.1361/105994901770344566
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Creep Properties of Austenitic Stainless-Steel Weld Metals

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Cited by 21 publications
(17 citation statements)
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“…11b). From these results, the tensile strength data for re-build were observed to be similar to the substrate material, which is supported by the hardness values obtained in the present work and the similarity in the mechanical properties of 321 and 347 stainless steels as indicated in Table 3 for different microstructural conditions [22,[26][27][28][29][30]. …”
Section: Mechanical Properties Of the Re-buildssupporting
confidence: 79%
See 1 more Smart Citation
“…11b). From these results, the tensile strength data for re-build were observed to be similar to the substrate material, which is supported by the hardness values obtained in the present work and the similarity in the mechanical properties of 321 and 347 stainless steels as indicated in Table 3 for different microstructural conditions [22,[26][27][28][29][30]. …”
Section: Mechanical Properties Of the Re-buildssupporting
confidence: 79%
“…In addition, the mechanical properties of the re-build were observed to be comparable to that reported in literature for type 321 and 347 stainless steels. Annealed 321 [22,25] Annealed 347 [22,25] Clad 347 [27] Welded 347 [28] Welded 347 [26,29] Yield …”
Section: Discussionmentioning
confidence: 99%
“…Norton's Law is a frequently cited formula for modeling secondary creep in materials. Values for empirical constants related to creep models have been documented in numerous creep studies of austenitic stainless steels (Mathew et al 1993;Golan et al 1996;Nassour et al 2001;Rieth et al 2004;Sorkhabi and Tahami 2012). In general, the values for these constants can vary over different temperature and stress ranges.…”
Section: Physics-of-failure Modelsmentioning
confidence: 99%
“…(4.3) for 316L stainless steel weld material provided in Nassour et al (2001) are used for the initial algorithm development and demonstrations assuming a temperature of T = 700°C. At this stage, the parameters are assumed to be Gaussiandistributed variables and the values from Nassour et al (2001) are interpreted as mean values for these Gaussian distributions, although other distributions for these variables can be accommodated. The values of these parameters are provided in Table 4.1, along with assumed standard deviations.…”
Section: Phm Using Bayesian Framework: Application To Creep Prognosticsmentioning
confidence: 99%