2011
DOI: 10.1016/j.ijfatigue.2011.05.011
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Influence of high temperature hold times on the fatigue crack propagation in Inconel 718

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Cited by 58 publications
(54 citation statements)
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“…[6][7][8] where it was shown that the crack growth per cycle during unloading-reloading is much higher after a dwell time period compared to pure cyclic loading. Similar observations has been reported to occur during thermomechanical fatigue crack growth tests [9].…”
Section: Introductionmentioning
confidence: 99%
“…[6][7][8] where it was shown that the crack growth per cycle during unloading-reloading is much higher after a dwell time period compared to pure cyclic loading. Similar observations has been reported to occur during thermomechanical fatigue crack growth tests [9].…”
Section: Introductionmentioning
confidence: 99%
“…The same behaviour has been perceived in other superalloys such as Waspalloy [74]. Grain boundary embrittlement has been studied in [64,74,75] where it was shown that the crack growth per cycle during unloading-reloading is much higher after a dwell-time period compared to pure cyclic loading. Similar observations during thermomechanical fatigue crack growth tests have been reported in [73].…”
Section: Dynamic Embrittlementsupporting
confidence: 58%
“…A life prediction model for the overload tests microstructurally investigated in Paper I [7] was developed by Gustafsson et al [70]. The other test series leading up to it are discussed in many articles [70,[72][73][74][75][76][77][78][79][80][81][82][83] where models for fatigue crack propagation were modified to handle load ratios R, stress-intensity factors K, threshold values and environmental effects, which are vital to accurately enable life prediction. Modeling is of course important, but more so is the understanding and possibility to explain the leading mechanisms behind the crack propagation during fatigue.…”
Section: Crack Propagation Mechanismsmentioning
confidence: 99%
“…[56]. These results have been made available for this second phase of the programme (2012 to 2015), which has given a significantly larger population of tests to use for model development.…”
Section: Materials Batchesmentioning
confidence: 99%