Effects of the thermodynamic parameters of the hcp phase on the stacking fault energy calculations in the Fe–Mn and Fe–Mn–C systems

Nakano, Jinichiro; Jacques, Pascal

doi:10.1016/j.calphad.2010.02.001

Cited by 134 publications

(77 citation statements)

References 50 publications

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“…The interfacial energy was assumed to be 16 mJ/ m 2 . 27) In the previous study, using Eq. (1), the stacking fault energies of the Fe-17Mn-0.6C, Fe-17Mn-0.8C, and Fe-18Mn-1.2C steels were estimated to be 31 mJ/m 2 , 35 mJ/m 2 , 43 mJ/m 2 , respectively.…”

Section: Methodsmentioning

confidence: 99%

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Deformation Twinning Behavior of Twinning-induced Plasticity Steels with Different Carbon Concentrations – Part 2: Proposal of Dynamic-strain-aging-assisted Deformation Twinning

2015

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In a previous study, the carbon concentration dependence of the deformation twinning behavior in twinning-induced plasticity steels was investigated, which clarified that the deformation twin fraction in the < 144 > tensile orientation did not change with the carbon concentration. In this study, twinning deformation occurred in the Fe-18Mn-1.2C steel at 473 K with a relatively high stacking fault energy of 55 mJ/m 2 . To explain these experimental results, dynamic strain aging of Shockley partials dislocations was proposed as an additional contributing factor to assist the deformation twinning in high-carbon-added austenitic steels. Most abnormalities concerning deformation twinning such as the high stacking fault energy in Fe-Mn-C austenitic steels were interpreted by considering the effect of dynamic strain aging.KEY WORDS: deformation twinning; dynamic strain aging; austenitic steel; electron backscatter diffraction (EBSD).

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Section: Methodsmentioning

confidence: 99%

“…The EBSD analyses were conducted at 20 kV with a beam step size of 300 nm. The stacking fault energies were calculated using the following equation with the same dataset 27) as the previous study:…”

Section: Methodsmentioning

confidence: 99%

Deformation Twinning Behavior of Twinning-induced Plasticity Steels with Different Carbon Concentrations – Part 2: Proposal of Dynamic-strain-aging-assisted Deformation Twinning

2015

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“…It has been proposed that deformation twins increase the work hardening rate by acting as planar obstacles for gliding dislocations. During the last ten years, physical based models have been developed specifically for high manganese TWIP steels [3][4][5][6][7] to: -compute the stacking fault energy as a function of the chemical composition, -describe the interaction between dislocation glide and deformation twinning, -predict the resulting high work hardening rate due to dynamic microstructure refinement (dynamic HallPetch effect).…”

Section: Introductionmentioning

confidence: 99%

Modelling the effect of carbon on deformation behaviour of twinning induced plasticity steels

et al. 2011

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In this article, a physical model describing the deformation behaviour of Twinning Induced Plasticity (TWIP) steels has been extended to include the effect of carbon content. The experimental validation and the analysis show that carbon mainly controls the maximum number of dislocations piled up at the twin boundary, resulting in the increase of back-stresses (i.e. kinematic hardening) and therefore the work hardening rate. This explanation seems to be in agreement with recent TEM observations.

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“…It is known that a steep transition occurs during heating, from antiferromagnetic to paramagnetic state, being accompanied by increases of storage modulus [29]. The 04004-p. 4 results are summarized in Table 1. It is noticeable, from Fig.5, that storage modulus E', had the lowest values in initial condition, for the specimens in hot rolled state, while the highest values were obtained at the specimens solution treated at 973 K. In contrast to 0_MA, where no marked variations of E' are noticeable at 50_MA and 14Mn specimens, the increase in storage modulus, ΔE', reached a maximum of 12 GPa at 14Mn initial.…”

Section: Resultsmentioning

confidence: 99%

“…%, as all compositions will be listed hereinafter). The inventory of previously reported drawbacks of ingot metallurgy (IM) processing of Fe-Mn-Si-Cr-Ni alloys [4][5][6][7][8] suggest that an alternative approach for producing these alloys could be powder metallurgy (PM) which has been successfully applied to other SMAs, such as Ti-Ni, or to Cu base alloys [9].…”

Section: Introductionmentioning

confidence: 99%

Powder metallurgy and mechanical alloying effects on the formation of thermally induced martensite in an FeMnSiCrNi SMA

Pricop

Mihalache

Lohan

et al. 2015

MATEC Web of Conferences

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Abstract. By ingot metallurgy (IM, melting, alloying and casting), powder metallurgy (PM, using as-blended elemental powders) and mechanical alloying (MA of 50 % of particle volume), three types of FeMnSiCrNi shape memory alloy (SMA) specimens were fabricated, respectively. After specimen thickness reduction by hot rolling, solution treatments were applied, at 973 and 1273 K, to thermally induce martensite. The resulting specimens were analysed by X-ray diffraction (XRD) and scanning electron microscopy (SEM), in order to reveal the presence of ε (hexagonal close-packed, hcp) and α' (body centred cubic, bcc) thermally induced martensites. The reversion of thermally induced martensites, to γ (face centred cubic, fcc) austenite, during heating, was confirmed by dynamic mechanical analysis (DMA), which emphasized marked increases of storage modulus and obvious internal friction maxima on DMA thermograms. The results proved that the increase of porosity degree, after PM processing, increased internal friction, while MA enhanced crystallinity degree.

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Effects of the thermodynamic parameters of the hcp phase on the stacking fault energy calculations in the Fe–Mn and Fe–Mn–C systems

Cited by 134 publications

References 50 publications

Deformation Twinning Behavior of Twinning-induced Plasticity Steels with Different Carbon Concentrations – Part 2: Proposal of Dynamic-strain-aging-assisted Deformation Twinning

Deformation Twinning Behavior of Twinning-induced Plasticity Steels with Different Carbon Concentrations – Part 2: Proposal of Dynamic-strain-aging-assisted Deformation Twinning

Modelling the effect of carbon on deformation behaviour of twinning induced plasticity steels

Powder metallurgy and mechanical alloying effects on the formation of thermally induced martensite in an FeMnSiCrNi SMA

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