2014
DOI: 10.2320/matertrans.m2014004
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Prediction of Tempered Martensite Hardness Incorporating the Composition-Dependent Tempering Parameter in Low Alloy Steels

Abstract: We investigated a composition-dependent tempering parameter for more accurate prediction of tempered martensite hardness in low alloy steels. The proposed composition-dependent tempering parameter decreased with the addition of alloying elements related to the activation energy for tempering. The tempered martensite hardness calculated using the composition-dependent tempering parameter showed a reliable accuracy compared with experimental data.

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Cited by 22 publications
(12 citation statements)
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“…Parameter C is a constant and depends on the chemical composition of the steel. Kang and Lee [26] proposed a relation between the alloying element effect and the constant C:…”
Section: Relationship Between Microstructure and Tensile Propertiesmentioning
confidence: 99%
“…Parameter C is a constant and depends on the chemical composition of the steel. Kang and Lee [26] proposed a relation between the alloying element effect and the constant C:…”
Section: Relationship Between Microstructure and Tensile Propertiesmentioning
confidence: 99%
“…The constant C in eqn (1) decreases with increase in carbon content in the alloy, but other alloying elements also influence the value of C [13,14]. Kang and Lee [14] proposed an expression to consider the alloy composition by introducing a fluctuating C. The composition dependence of C can be expressed as…”
Section: Mathematical Formulation Of Tempering Modelmentioning
confidence: 99%
“…Those values are used to estimate the tempering parameters P of alloys used in this study using eqns (1) and ( 5). The tempered hardness at different Jominy positions is estimated using an exponential expression proposed by Kang and Lee [14].…”
Section: Mathematical Formulation Of Tempering Modelmentioning
confidence: 99%
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