2014
DOI: 10.1016/j.jnucmat.2014.01.024
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Application of a three-feature dispersed-barrier hardening model to neutron-irradiated Fe–Cr model alloys

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Cited by 127 publications
(51 citation statements)
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“…Finally, it concludes that, since Cr-rich α' precipitation is sensitive to initial Cr composition [13,16,17], the composition-dependent hardening response at these conditions could be attributed to the Cr-rich α' phase. Similar composition dependencies based on the α' precipitation response under irradiation have been suggested by other studies of FeCr alloys irradiated to similar low dose (<5 dpa) LWR relevant conditions [26][27][28]. Although microstructural information in the high dose irradiated specimens is unavailable, and hence conclusive factors for the lack of a composition-dependent hardening response at higher doses remains undetermined, it is possible some details could be inferred from FeCr alloys as they show similar mechanical performance across the same dose and temperature regime.…”
Section: Discussionsupporting
confidence: 85%
“…Finally, it concludes that, since Cr-rich α' precipitation is sensitive to initial Cr composition [13,16,17], the composition-dependent hardening response at these conditions could be attributed to the Cr-rich α' phase. Similar composition dependencies based on the α' precipitation response under irradiation have been suggested by other studies of FeCr alloys irradiated to similar low dose (<5 dpa) LWR relevant conditions [26][27][28]. Although microstructural information in the high dose irradiated specimens is unavailable, and hence conclusive factors for the lack of a composition-dependent hardening response at higher doses remains undetermined, it is possible some details could be inferred from FeCr alloys as they show similar mechanical performance across the same dose and temperature regime.…”
Section: Discussionsupporting
confidence: 85%
“…[1]) for solid solution and dispersed oxide hardening in a Cu-Au alloy. [24] In a more complex case with a greater number of obstacle types, Bergner et al [40] examined the capabilities of the DBH and BKS models in combination with several superposition principles in an Fe-Cr model alloy. The hardening parameter a was calculated for a 0 phase particles, dislocation loops, and NiSiPCrrich clusters in an Fe-Cr model alloy.…”
Section: ½4mentioning
confidence: 99%
“…Experimental studies [40,53] have used mean defect size as an input to hardening models such as DBH and BKS; however, the validity of such an approach has never been shown. Any significant change in hardening as a function of distribution standard deviation would invalidate such an approach for a symmetric distribution of defects.…”
Section: Size and Spatial Distribution Of Voidsmentioning
confidence: 99%
“…For a longer-term application, effort has been put to develop fully physically informed suites of computer simulation codes, aimed at predicting RPV steel radiation hardening [8,9], including microstructural examination studies in support of modelling [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. These studies revealed that radiation hardening in RPV steels, as well as in other types of iron alloys such as high-Cr ferritic-martensitic (F-M) materials, is mainly the consequence of the formation of high densities (~10 23 m -3 ) of nanometre-size solute-rich clusters (NSRC), which act as obstacles to dislocation motion [29,30]. Importantly, NSRC are also found in steels containing low quantities of Cu for which all solute species are found below their solubility limit.…”
Section: Introductionmentioning
confidence: 99%