The effect of Al addition on solid solution strengthening in CoCrFeMnNi: Experiment and modelling

Kumar, Jitesh; Linda, Albert; Sadhasivam, M.; Pradeep, Konda Gokuldoss; Gurao, N.P.; Biswas, Krishanu

doi:10.1016/j.actamat.2022.118208

Cited by 34 publications

(4 citation statements)

References 58 publications

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“…The GSFE also known as the γ surface depicts the energy variation of a crystal that is subjected to rigid shear along the {111} plane of the FCC lattice along the <1 1 2> direction [23]. The theoretical calculation of GSFE is obtained using DFT for MEAs as well [24][25][26]. However, the employment of DFT for the calculation requires high computational resources and time.…”

Section: Introductionmentioning

confidence: 99%

Accelerated prediction of stacking fault energy in FCC medium entropy alloys using multilayer perceptron neural networks: correlation and feature analysis

Mahato,

Gurao,

Biswas

2024

Modelling Simul. Mater. Sci. Eng.

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A multilayer perceptron neural networks (MLPNN) model is developed for robust and quick prediction of stacking fault energy (SFE) to overcome the challenges faced in the calculation of SFE via experimentation and atomistic calculations in FCC medium entropy alloys (MEA). The present investigation employs a three-step hybrid feature selection approach to obtain a comprehensive understanding of the prominent features that influence the SFE, as well as the interrelationships among these features. The feature space encompasses various features related to composition, lattice stability, and elemental properties, of medium entropy alloys (MEAs). The findings indicate that the estimation of SFE relies on five crucial factors: temperature, lattice stability, specific heat, ionization energy, and Allen electronegativities. Furthermore, a mathematical relationship for the estimation of the SFE is derived, considering the various influencing and prominent factors. Consequently, the MLPNN model for robust SFE prediction in MEAs is developed and the performance is evaluated using R2 scores, with values of 0.87 and 0.85 obtained for the training and testing datasets, respectively. This efficient strategy introduces a novel opportunity for the engineering of SFE in the extensive range of alloy chemistry of MEAs, enabling the quick prediction of SFE, and facilitating the systematic exploration of new alloys for the development of mechanisms that may accommodate deformation through octahedral/partial slip, twinning, and/or transformation.

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Section: Introductionmentioning

confidence: 99%

Accelerated prediction of stacking fault energy in FCC medium entropy alloys using multilayer perceptron neural networks: correlation and feature analysis

Mahato,

Gurao,

Biswas

2024

Modelling Simul. Mater. Sci. Eng.

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“…Laser metal deposition (LMD) is an advanced additive manufacturing technique that fabricates complex shapes layer by layer with rapid solidification and cooling rates. Pre-alloyed elemental high-entropy alloy powder can be fabricated using LMD [7,8]. Other research has prepared high-entropy alloys using elemental powders via in situ reactive homogenous synthesis from different hoppers under optimized conditions [9,10].…”

Section: Introductionmentioning

confidence: 99%

Nanomechanical characteristics of laser and arc melted AlCuFeNiSi high entropy alloy: a comparative study

Dada,

Popoola,

Mtileni

et al. 2023

MATEC Web Conf.

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The exploration of high-entropy alloy development for structural applications is a major requirement for the energy and transportation industries. The systematic strategy of designing high entropy alloys is not complete without considering the desired properties, the selection of the elements, the determination of the composition, and the choice of the manufacturing process for the production of high-performance materials. AlCuFeNiSi high-entropy alloys were prepared via laser metal deposition and arc melting. The nanomechanical and wear characteristics of arc-melted and laser-deposited AlCuFeNiSi high-entropy alloys were comparatively studied because a comprehensive understanding of their mechanical properties is not yet fully understood for structural applications in the energy industry. The empirical relationship between the laser power and the nanohardness was determined using the response surface methodology. The results showed that the high entropy alloys consisted of solid solution BCC and FCC phases. ANOVA showed that laser power had a significant effect on the nanohardness, increasing with an increase in laser power. The optimum laser process parameters to yield the best properties were obtained and backed up with experimental data to achieve a cost-effective design of experiments.

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“…21 For instance, the inclusion of aluminum with a larger element size to Cantor alloy leads to severe local lattice distortion, considerably enhancing its yield and tensile strength. 24 Additionally, Nb particles acting as a second phase embedded in Zr matrix significantly contribute to second phase strengthening due to the mismatch between the matrix phase and the second phase. 25 More surprisingly, a dual-phase highentropy alloy with increased strength and ductility was successfully fabricated by combining massive solid solution strengthening of high-entropy alloys and extensive hardening due to the decreased phase stability.…”

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confidence: 99%

“…On the other hand, SPS originates from the hindrance of gliding dislocations movement by dispersed second phase particles . For instance, the inclusion of aluminum with a larger element size to Cantor alloy leads to severe local lattice distortion, considerably enhancing its yield and tensile strength . Additionally, Nb particles acting as a second phase embedded in Zr matrix significantly contribute to second phase strengthening due to the mismatch between the matrix phase and the second phase .…”

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confidence: 99%

Combining Solid Solution Strengthening and Second Phase Strengthening for Thinning Li Metal Foils

Guo

Wang

et al. 2023

ACS Nano

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Thin lithium (Li) metal foils have been proved to be indispensable yet elusive for practical high-energy-density lithium batteries. Currently, the realization of such thin foils (<50 μm) is impeded by the inferior mechanical processability of metallic Li. In this work, we demonstrate that the combination of solid solution strengthening and second phase strengthening, achieved by the addition of silver fluoride (AgF) to Li metal, can substantially enhance both the strength and ductility of metallic Li. Benefiting from the improved machinability, we succeed in fabricating an ultrathin (down to 5 μm), freestanding, and mechanically robust Li-AgF composite foil. More interestingly, the in situ-formed Li x Ag-LiF skeleton in the composite facilitates Li diffusion kinetics and uniform Li deposition, where the thin Li-AgF electrode displays a prolonged cycle life over 500 h at 1 mA cm–2 and 1 mAh cm–2 in a carbonate electrolyte. Coupled with a commercial LiCoO2 cathode (3.4 mAh cm–2), the LiCoO2||Li-AgF cell delivers a notable capacity retention of ∼90% over 100 cycles at 0.5 C with a low negative/positive ratio of 2.5.

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The effect of Al addition on solid solution strengthening in CoCrFeMnNi: Experiment and modelling

Cited by 34 publications

References 58 publications

Accelerated prediction of stacking fault energy in FCC medium entropy alloys using multilayer perceptron neural networks: correlation and feature analysis

Accelerated prediction of stacking fault energy in FCC medium entropy alloys using multilayer perceptron neural networks: correlation and feature analysis

Nanomechanical characteristics of laser and arc melted AlCuFeNiSi high entropy alloy: a comparative study

Combining Solid Solution Strengthening and Second Phase Strengthening for Thinning Li Metal Foils

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