2023
DOI: 10.1007/s12008-022-01153-z
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Prediction of thermal and residual stress distributions in SS304 materials for nuclear application using finite element analysis

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Cited by 30 publications
(3 citation statements)
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“…The variance is calculated by adding all the squares together. F-test is a technique for comparing variances and testing the significance of a null hypothesis, as described [11,12]. The hypothesis test in One-Way ANOVA is between the variance of the mean and the variance of the error.…”
Section: Resultsmentioning
confidence: 99%
“…The variance is calculated by adding all the squares together. F-test is a technique for comparing variances and testing the significance of a null hypothesis, as described [11,12]. The hypothesis test in One-Way ANOVA is between the variance of the mean and the variance of the error.…”
Section: Resultsmentioning
confidence: 99%
“…The shapes of the GTA butt welded specimens in previous studies have had a symmetrical structure, and most of the canister internal structures were austenitic stainless steel. Previous studies have shown the results of GTA weld thermal analyses and numerical analyses of residual stress when using stainless steel to manufacture pressure vessels and nuclear reactor components [16,17]. Thermal deformation results from various thicknesses of surface-hardened specimens were analyzed after the GTAW process.…”
Section: Introductionmentioning
confidence: 99%
“…Using three-dimensional finite element analysis, temperature, and residual stress distributions in SS304 materials for the nuclear industry are successfully studied using ANSYS. Transverse analysis of residual stress provides insight into structural stability [8]. Residual stresses caused by weld repair on weld joints made of austenitic stainless steel are increased by more than 100 percent.…”
Section: Introductionmentioning
confidence: 99%