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(a) 2D Axisymmetric FE model of cylindrical specimen along with 'Berkovich equivalent' conical rigid indenter with half cone angle of 70.3 0 employed in indentation simulations. (b) FE model of cylindrical sample considering microstructure of NG in a region A, while homogenized NG in region B. (c) Enlarged view of region A and a grain whose size is characterized by length d 1 and d 2 .

(a) 2D Axisymmetric FE model of cylindrical specimen along with 'Berkovich equivalent' conical rigid indenter with half cone angle of 70.3 0 employed in indentation simulations. (b) FE model of cylindrical sample considering microstructure of NG in a region A, while homogenized NG in region B. (c) Enlarged view of region A and a grain whose size is characterized by length d 1 and d 2 .

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Finite element simulations of indentation on Sc75Fe25 nanoglasses (NGs) and metallic glass (MG) ribbons are performed by employing extended Drucker Prager (EDP) and Von-Mises plasticity model, and pressure sensitive index, α is determined by fitting recent experimental data. It is found that yield behavior of NG is better characterised by pressure...

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... are performed using the pressure insensitive (Von-Mises) and pressure sensitive (extended Drucker Prager (EDP)) plasticity The axisymmetric FE simulations of Berkovich indentation on cylindrical specimens are performed using 'Berkovich equivalent' conical rigid indenter with spherical tip ( R = 200 nm) and semiapex angle of 70.3 ° [32] . Fig. 1 (a) displays FE discretization of sample using four-node quadrilateral axis symmetric elements in r − z plane along with the indenter geometry. The size of the specimen is chosen as 40 ( L s / R ) × 30 ( H s / R ) to ensure that plastic zone is well contained below indenter so that boundary effects on indentation response could be ...
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... size of the specimen is chosen as 40 ( L s / R ) × 30 ( H s / R ) to ensure that plastic zone is well contained below indenter so that boundary effects on indentation response could be minimized [16] . Further, all nodes on the bottom and left side edges are constrained to move in z and r direction, respectively, while a constant displacement rate is applied to the rigid indenter through a reference point RP attached to it ( Fig. 1 (a)). ...
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... and larger r p in NGs are due to their high α, which might be because of presence of free volume rich interfaces. Therefore, a fundamental question "what is value of α for interfaces in NGs?" arises. To address this, FE simulations of indentation on NG1 are repeated by modeling the microstructure of NG (i.e. GGs and GIs), as displayed FE model in Fig. 1 (b). Since α is expected to influence deformation only after commencement of plastic yielding, microstructure is modeled only in the region (region 'A' in Fig. 1 (b)) just underneath indenter, while a homogenized NG is considered outside this region i.e., region 'B' ( Fig. 1 (b)). Note that region A is significantly larger than r NG 1 p ...
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... of α for interfaces in NGs?" arises. To address this, FE simulations of indentation on NG1 are repeated by modeling the microstructure of NG (i.e. GGs and GIs), as displayed FE model in Fig. 1 (b). Since α is expected to influence deformation only after commencement of plastic yielding, microstructure is modeled only in the region (region 'A' in Fig. 1 (b)) just underneath indenter, while a homogenized NG is considered outside this region i.e., region 'B' ( Fig. 1 (b)). Note that region A is significantly larger than r NG 1 p noted in Fig. 3 (c). Following [1-8 , 14 , 40] , shape of the GGs is assumed to be hexagonal, and their size is characterized by dimensions d 1 and d 2 along r and ...
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... and GIs), as displayed FE model in Fig. 1 (b). Since α is expected to influence deformation only after commencement of plastic yielding, microstructure is modeled only in the region (region 'A' in Fig. 1 (b)) just underneath indenter, while a homogenized NG is considered outside this region i.e., region 'B' ( Fig. 1 (b)). Note that region A is significantly larger than r NG 1 p noted in Fig. 3 (c). ...
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... that region A is significantly larger than r NG 1 p noted in Fig. 3 (c). Following [1-8 , 14 , 40] , shape of the GGs is assumed to be hexagonal, and their size is characterized by dimensions d 1 and d 2 along r and z directions, respectively ( Fig. 1 (c)). Here, d 1 and d 2 are chosen as 9 and 11 nm, respectively, to achieve average grain size of 10 nm , as observed in experiments [6] , while interface width is taken as 1 nm [6] which results in a volume fraction of GGs, V g f = 0.73. ...

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... Unlike crystalline metals and alloys in which plastic deformation is almost exclusively a function of the deviatoric part of the stress tensor, plasticity in amorphous materials such as BMGs and glassy polymers is pressure sensitive, i.e., the hydrostatic stress also plays a role in the flow behaviours [33][34][35][36][37]. Typically, pressure sensitivity results in an elevation in the flow stress of the material when hydrostatic compression is superposed on the shear stresses. ...
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... However, one should look at the above analysis with a degree of caution as we have neglected the effect of free volume and the variation of the local atomic structure in the interfacial or core regions. In fact, Hirmukhe et al. [32] have recently used finite element simulations to study the effect of free volume in the interfacial regions to understand the higher strength in Sc 75 Fe 25 nanoglasses compared to metallic glasses. They have found that the pressure sensitivity of the glass-glass interfacial regions creates an additional hardening www.mrs.org/jmr ...
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Numerical analysis using explicit code LS-DYNA has been carried out to study the penetration characteristics of a spherical fragment of Ø6mm diameter and conical fragments with apex angles 40°, 60°, 80° and 100° of identical mass made of Stainless Steel (SS 304). The spherical and conical fragments impact on Steel 1006 target plates of 6, 3 and 1 mm thickness at 500 to 2000 m/s impact velocity range in the simulation models. The simulation model employed for the spherical fragment of Ø6 mm diameter in the present study has been validated with experimental data available in the literature. The validated simulation model has been extended to analyse the penetration characteristics of conical fragments with apex angles 40° to 100°. Johnson–Cook (J-C) model, a strain rate-dependent plasticity model supplemented with the Gruneisen equation of state (EoS) and an erosion contact algorithm, have been used in the simulation models to capture the penetration characteristics of the spherical and conical fragments at high velocities. The penetration characteristics have been determined from simulation models in terms of residual velocity and residual kinetic energy of the fragment. The conical fragment with 40o apex angle indicated better penetration characteristics than other fragment shapes considered in the current study.