2019
DOI: 10.1016/j.commatsci.2019.109162
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Residual stress and elastic recovery of imprinted Cu-Zr metallic glass films using molecular dynamic simulation

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Cited by 58 publications
(17 citation statements)
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“…Figure 15 a–d displays the elastic recovery ratio for different parameters: crystal structures, alloy compositions, grain sizes, TB distances. The shape of material during the nanoimprinting is dependent on the elastic recovery ratio, and a lower elastic recovery ratio indicates higher material forming ability 64 , 65 . For different crystal structures, the highest pattern-forming ability is monocrystalline structure because the mean value of elastic recovery ratio is the smallest.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Figure 15 a–d displays the elastic recovery ratio for different parameters: crystal structures, alloy compositions, grain sizes, TB distances. The shape of material during the nanoimprinting is dependent on the elastic recovery ratio, and a lower elastic recovery ratio indicates higher material forming ability 64 , 65 . For different crystal structures, the highest pattern-forming ability is monocrystalline structure because the mean value of elastic recovery ratio is the smallest.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, the EAM potential developed by Farkas et al 66 is adopted for describing the interatomic interaction between Al–Cr–Co–Fe–Ni in the present study, which is consistent with the interaction of atoms in alloys that have been demonstrated in many previous studies 41 , 48 , 67 . The interaction force between the sample and the punch is assisted by Lennard–Jones (LJ) potential 32 , 64 . The parameters of LJ potential between the punch and the substrate are shown in Table 2 .…”
Section: Methodsmentioning
confidence: 99%
“…It can be seen that a higher force value was achieved for performing simulation at a larger loading/unloading rate because the atoms did not have enough time to release energy, resulting in higher stresses for increasing loading rates [ 34 , 36 ]. Moreover, for different tip radii, this was explained by the stronger structural recovery with increasing tip radius caused by the slip mechanism and dislocations [ 36 , 45 ].…”
Section: Simulation Results and Discussionmentioning
confidence: 99%
“…In order to further study the diffusion behavior of Cu in Fe, the RDF curves between Cu-Fe before and after diffusion under different temperature have been fitted in this research [36,37]. The results calculated by the BCC αFe + FCC Cu model have been chosen as When the temperature was lower than 900 • C, Fe was in the process of phase transition from BCC α Fe to FCC γ Fe , but from the analysis results of the diffusion coefficients of Cu by the MD models with BCC α Fe + FCC Cu and FCC γ Fe + FCC Cu, the numerical value and change trend of result from the BCC α Fe + FCC Cu model were more consistent with the results of the diffusion annealing experiment; this means that the α Fe with BCC structure was the restrictive link of diffusion of Cu in Fe in the phase transition zone.…”
Section: Analysis Of Cu/fe Diffusion Behavior With the MD Methodsmentioning
confidence: 99%