Phase equilibria in equiatomic CoCuFeMnNi high entropy alloy

Sonkusare, Reshma; Janani, P. Divya; Gurao, N.P.; Sarkar, Suman; Sen, Sandipan; Pradeep, Konda Gokuldoss; Biswas, Krishanu

doi:10.1016/j.matchemphys.2017.08.051

Cited by 62 publications

(29 citation statements)

References 28 publications

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“…Ni cannot be concluded to segregate to either from this profile. This data qualitatively agrees with the segregation behavior reported for the arc-melted alloy 8 and most non-equilibrium solidified materials in the MnFeCoNiCu system 7,[9][10][11][12][13] . Note that the average secondary dendrite arm spacing ( ) is measured to be approximately 800 nm for the re-solidified material.…”

Section: Resultssupporting

confidence: 89%

“…Several studies have proposed Cu to be responsible for compositional segregation in as-solidified MPCAs, due to its positive binary enthalpy of mixing with other common constituent elements 3,7,[9][10][11][12][13][14][15] . The mechanism for such segregation behavior, however, remains unclear, as there are limited accounts of in situ research in MPCA solidification.…”

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confidence: 99%

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In situ synchrotron diffraction and modeling of non-equilibrium solidification of a MnFeCoNiCu alloy

Schneiderman

Chuang

Kenesei

et al. 2021

Sci Rep

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The solidification mechanism and segregation behavior of laser-melted Mn35Fe5Co20Ni20Cu20 was firstly investigated via in situ synchrotron x-ray diffraction at millisecond temporal resolution. The transient composition evolution of the random solid solution during sequential solidification of dendritic and interdendritic regions complicates the analysis of synchrotron diffraction data via any single conventional tool, such as Rietveld refinement. Therefore, a novel approach combining a hard-sphere approximation model, thermodynamic simulation, thermal expansion measurement and microstructural characterization was developed to assist in a fundamental understanding of the evolution of local composition, lattice parameter, and dendrite volume fraction corresponding to the diffraction data. This methodology yields self-consistent results across different methods. Via this approach, four distinct stages were identified, including: (I) FCC dendrite solidification, (II) solidification of FCC interdendritic region, (III) solid-state interdiffusion and (IV) final cooling with marginal diffusion. It was found out that in Stage I, Cu and Mn were rejected into liquid as Mn35Fe5Co20Ni20Cu20 solidified dendritically. During Stage II, the lattice parameter disparity between dendrite and interdendritic region escalated as Cu and Mn continued segregating into the interdendritic region. After complete solidification, during Stage III, the lattice parameter disparity gradually decreases, demonstrating a degree of composition homogenization. The volume fraction of dendrites slightly grew from 58.3 to 65.5%, based on the evolving composition profile across a dendrite/interdendritic interface in diffusion calculations. Postmortem metallography further confirmed that dendrites have a volume fraction of 64.7% ± 5.3% in the final microstructure.

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Section: Resultssupporting

confidence: 89%

mentioning

confidence: 99%

In situ synchrotron diffraction and modeling of non-equilibrium solidification of a MnFeCoNiCu alloy

Schneiderman

Chuang

Kenesei

et al. 2021

Sci Rep

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“…For example, Tang et al [32] were able to determine the stabilities of different Al-transition metal binary phases in some MPE alloys by calculating their enthalpy of mixing using the Thermo-Calc SSOL5 database. Sonkusare et al [33] calculated sudo-binary phase diagram of CoCuFeMnNi, Saal et al [34] studied the phase fractions of CoCrFeMnAl, Yao et al [35] computed the mixing Gibbs free energies and phase fraction of four refractory MPE alloys, Fang et al [36] determined the phase molar fractions of selected light-weight MPE alloys, and Stepanov et al [37] calculated the phase molar fractions of AlCr x NbTiV, using TCHEA1, TCHEA2, TCNI7, TCNI8, and TTTI3 databases of Thermo-Calc, respectively. Moreover, B. Gwalani et al [38] have comprehensively studied the effects of thermo-mechanical processes on microstructures of Al 0.3 CoCrFeNi MPE alloy and their discrepancies from thermodynamic predictions by TCHEA database of Thermo-Calc.…”

Section: Phase Equilibria and Crystal Structures Of Mpe Alloysmentioning

confidence: 99%

A Review of Multi-Scale Computational Modeling Tools for Predicting Structures and Properties of Multi-Principal Element Alloys

Kivy

Hong

Zaeem

2019

Metals

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Multi-principal element (MPE) alloys can be designed to have outstanding properties for a variety of applications. However, because of the compositional and phase complexity of these alloys, the experimental efforts in this area have often utilized trial and error tests. Consequently, computational modeling and simulations have emerged as power tools to accelerate the study and design of MPE alloys while decreasing the experimental costs. In this article, various computational modeling tools (such as density functional theory calculations and atomistic simulations) used to study the nano/microstructures and properties (such as mechanical and magnetic properties) of MPE alloys are reviewed. The advantages and limitations of these computational tools are also discussed. This study aims to assist the researchers to identify the capabilities of the state-of-the-art computational modeling and simulations for MPE alloy research.

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“…Copper and vanadium could be candidates for addition, since they belong to the same period as Co, Cr, Fe, Mn, and Ni in the periodic table. Cu, which has low Tm (1083 °C), is usually segregated to the interdendritic region [20]. This means that Cu plays the same role as Mn, so it is excluded from the additive list.…”

Section: Verification Of the Alloy Design Approachmentioning

confidence: 99%

“…Spittle et al [24] reported that the addition of Cu or Sn to Al alloys increased the equiaxed zone, while the addition of Zn reduced it. Since Cu has a higher Tm and k than Al, it is generally segregated to the liquid region [20], and Sn, having a lower Tm and k than Al, is segregated to the solid region [25]. Therefore, both Cu and Sn promote undercooling.…”

Section: Anisotropic Properties Of the Newly Designed Heamentioning

confidence: 99%

Compositional Approach to Designing Fcc High-Entropy Alloys that Have an Enlarged Equiaxed Zone

Kang

Won

Kwon

et al. 2018

Metals

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Abstract:A compositional approach to designing alloys that have an enlarged equiaxed zone is suggested in this study. The partitioning of elements during the solidification of CoCrFeMnNi high-entropy alloy (HEA) was confirmed through a directional solidification quenching experiment. Several HEAs were designed to maximize the effects of constitutional and thermal undercooling by considering factors including solute enrichment at the columnar front and the melting temperatures and thermal conductivities of the individual elements. The newly designed HEAs were shown to have successfully enlarged equiaxed zones, and improved anisotropic properties.

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Phase equilibria in equiatomic CoCuFeMnNi high entropy alloy

Cited by 62 publications

References 28 publications

In situ synchrotron diffraction and modeling of non-equilibrium solidification of a MnFeCoNiCu alloy

In situ synchrotron diffraction and modeling of non-equilibrium solidification of a MnFeCoNiCu alloy

A Review of Multi-Scale Computational Modeling Tools for Predicting Structures and Properties of Multi-Principal Element Alloys

Compositional Approach to Designing Fcc High-Entropy Alloys that Have an Enlarged Equiaxed Zone

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