2022
DOI: 10.1016/j.ijfatigue.2022.106885
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Enhanced thermal fatigue resistance of 20Mn2SiCrMo bainitic steel by microstructure stabilization design

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Cited by 7 publications
(3 citation statements)
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“…The austenite lattice parameter aγ$a_{\gamma}$ was obtained by the Nelson–Riley extrapolation method, [ 66 ] and the carbon concentration of RA can be estimated by Equation (8) according to the relationship between αγ$\left(\alpha\right)_{\gamma}$ and x C : [ 67 ] αγ=3.556+0.0453xC+0.00095xMn$$\left(\alpha\right)_{\gamma} = 3.556 + 0.0453 x_{\text{C}} + 0.00095 x_{\text{Mn}}$$where aγ$a_{\gamma}$ is the austenite lattice parameter (Å), x C and x Mn are the concentrations of carbon and manganese in austenite (wt%), respectively. Since Si alloying has a negligible effect on austenite lattice parameter in austenitic steel, [ 68,69 ] Si was not considered for the calculation.…”
Section: Methodsmentioning
confidence: 99%
“…The austenite lattice parameter aγ$a_{\gamma}$ was obtained by the Nelson–Riley extrapolation method, [ 66 ] and the carbon concentration of RA can be estimated by Equation (8) according to the relationship between αγ$\left(\alpha\right)_{\gamma}$ and x C : [ 67 ] αγ=3.556+0.0453xC+0.00095xMn$$\left(\alpha\right)_{\gamma} = 3.556 + 0.0453 x_{\text{C}} + 0.00095 x_{\text{Mn}}$$where aγ$a_{\gamma}$ is the austenite lattice parameter (Å), x C and x Mn are the concentrations of carbon and manganese in austenite (wt%), respectively. Since Si alloying has a negligible effect on austenite lattice parameter in austenitic steel, [ 68,69 ] Si was not considered for the calculation.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, it is necessary to study the effects of key factors such as heat treatments, microstructure evolution, and thermal stabilities of the steel for related steel properties on thermal fatigue properties. [ 11 ]…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it is necessary to study the effects of key factors such as heat treatments, microstructure evolution, and thermal stabilities of the steel for related steel properties on thermal fatigue properties. [11] At present, the research on improving thermal fatigue performance and service life mainly focus on optimizing alloy elements and surface treatments including surface coating, vapor deposition, and laser surface strengthening that seek to prolong die service life. It is found [12][13][14] that the segregation of elements on grain boundaries can be reduced to a certain extent as well as the strength of grain boundaries can be increased by adjusting DOI: 10.1002/srin.202200834…”
Section: Introductionmentioning
confidence: 99%