2019
DOI: 10.1007/s41365-019-0586-2
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Creep damage characterization of UNS N10003 alloy based on a numerical simulation using the Norton creep law and Kachanov–Rabotnov creep damage model

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Cited by 12 publications
(5 citation statements)
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“…Wang et al 21 demonstrated that the K‐R model is more suitable than the Norton model for describing the creep behavior such as creep rupture strain and creep rupture time of UNS N10003 alloy. Choi et al 22 used the K‐R model to accurately capture the creep behavior of 617 alloy at high temperature under a wide range of stresses at 800°C.…”
Section: Creep Damage Evolution and Damage Mechanismmentioning
confidence: 99%
“…Wang et al 21 demonstrated that the K‐R model is more suitable than the Norton model for describing the creep behavior such as creep rupture strain and creep rupture time of UNS N10003 alloy. Choi et al 22 used the K‐R model to accurately capture the creep behavior of 617 alloy at high temperature under a wide range of stresses at 800°C.…”
Section: Creep Damage Evolution and Damage Mechanismmentioning
confidence: 99%
“…10 Saberi utilized Liu-Murakami damage model to assess the life of blade-disk attachments. 11 Praveen 12 and Wang 13 used Kachanov-Rabotnov damage model to predict the creep damage behavior of 316LN steel and UNS N1003 alloy, respectively. Recently, a Sinh damage model was originally proposed by Stewart 14 and then improved by Haque and Stewart.…”
Section: Introductionmentioning
confidence: 99%
“…The comparative research was reported by Rouse [15], where the hyperbolic sine creep function and the power law-based models, including Liu-Murakami and Kachanov-Robotnov, were compared to show the effectiveness and conservativeness of each model. For instance, the Kachanov-Robotnov creep model is more suitable than the Norton function when simulating the creep behaviour of Nickel-based alloy under a high-temperature environment [16]. The Liu-Murakami creep damage model is also able to calculate the creep crack growth life of 316H steel under the extended finite element method (XFEM) framework [17].…”
Section: Introductionmentioning
confidence: 99%