Next Article in Journal
Polymer Electrode Materials for Sodium-ion Batteries
Previous Article in Journal
Analysis of the Effects of Aggressive Environments Simulating Municipal Sewage on Recycled Concretes Based on Selected Ceramic Waste
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Molecular Dynamics Simulation of Structural Signals of Shear-Band Formation in Zr46Cu46Al8 Metallic Glasses

1
State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China
2
Advanced Manufacturing Technology Research Centre, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom 999077, Hong Kong
*
Authors to whom correspondence should be addressed.
Materials 2018, 11(12), 2564; https://doi.org/10.3390/ma11122564
Submission received: 3 December 2018 / Revised: 13 December 2018 / Accepted: 14 December 2018 / Published: 17 December 2018

Abstract

:
The evolution from initiation to formation of a shear band in Zr46Cu46Al8 metallic glasses is presented via molecular dynamics simulation. The increase in number and the decrease in average size of clusters with the quasi-nearest atoms being 0 correspond to the shear-band evolution from initiation to formation. When the shear band is completely formed, the distribution of the bond orientational order q6 reaches a minimum. The maximum of the number of the polyhedral loss of Cu-centered <0, 0, 12, 0> and the minimum of the number of the polyhedral loss of Zr-centered <0, 2, 8, 5> correspond to the shear-band formation. These findings provide a strong foundation for characterizing the evolution from initiation to formation of shear bands.

Graphical Abstract

1. Introduction

The shear band plays a decisive role in controlling the deformation of metallic glasses (MGs) at room temperature, in which large plastic strain is concentrated [1,2,3]. A shear-band process includes formation, propagation, and arrest [4]. Shear transformation zone (STZ)-clusters originate from local atomic regions and intertwine with each other when forming a nascent shear band [5,6]. Following formation, shear bands begin to propagate in two modes [7]. One is synchronous shearing, that is the shear units propagate to the whole shear plane at the same time, and the other is progressive shearing, in which the shear displacement occurs at some random positions and then gradually propagates throughout the sample. Many methods have been tried to suppress shear-band propagation to improve the plasticity of MGs. For example, the self-locking effect of nanocrystals formed during the shearing process can prevent the propagation of shear bands [8]. The deceleration before reaching the maximum shear-band speed provides evidence to suppress the propagation, causing shear-band arrest [4]. Suppressing the shear-band propagation can cause shear-band arrest, which is the reverse process to shear-band initiation. The transient shear-band formation is the first step towards understanding shear bands. Since shear-band formation is very fast, current research is mainly focused on the post-mortem shear bands [9,10].
The structural evolution of shear bands requires nanoscale structural monitoring [4,11]. Molecular dynamics (MD) simulation can reveal the heterogeneous microstructure of MGs at the nanoscale, although the time- and size-scale of MD simulation is usually different to laboratory experiments [12,13,14]. In recent MD simulations, the shear bands can easily form around γ-defects with high shear stress in MGs [15]. Shear-band formation can break specific clusters [5,16]. In addition, the destruction of interconnected icosahedral networks during shear-band formation is revealed by MD simulations [17,18]. The above studies provide for structural changes in shear bands, but specific structural signatures characterizing when and how the shear band is formed are not enough, which increases the difficulty of regulating the shear bands. Due to space and time constraints, the initiation to formation of a shear band is still unknown. Therefore, there is an urgent need to understand the evolution from initiation to formation of shear bands in MGs at the atomic level. In this work, by MD simulation, the effects of cluster networks, bond orientational order, and polyhedral loss on shear-band formation were investigated in Zr46Cu46Al8 MGs.

2. Materials and Methods

Using LAMMPS software (Version: 17 Dec 2016, Sandia National Laboratories, Albuquerque, NM, USA) [19], MD was performed with the reliable empirical embedded atom method (EAM) potential [20]. With reliable empirical potential and excellent glass-forming ability, the composition Zr46Cu46Al8 was adopted [21]. An initial box of 5.8 nm × 5.8 nm × 5.8 nm composed of randomly distributed 4600 Zr atoms, 4600 Cu atoms, and 800 Al atoms was constructed. It was equilibrated at 2000 K and 0 Pa with periodic boundary conditions (PBCs) in three directions within an NPT (constant number, constant pressure, and constant temperature) ensemble [22]. The Parrinello-Rahman barostat and Nosé-Hoover thermostat were employed to control the pressure and temperature [23,24], which was quenched to 50 K with a cooling rate of 1.0 × 1012 K/s. By replicating 4, 1, and 8 times in X, Y, and Z-directions of the model, a large-sized model containing 320,000 atoms (22.4 nm × 5.6 nm × 44.8 nm) was prepared and followed by annealing at 800 K for 1 ns, and finally quenched to 50 K. The inhomogeneous compression deformation over many cycles was adopted. In each cycle, the model was applied with an instantaneous small-strain and then relaxed for a while. In this work, the rigid atoms at one end along the Z-direction of the Zr46Cu46Al8 model were moved 0.018 nm while keeping those at the other end stationary, then the remaining intermediate atoms were relaxed for 10 ps at 50 K, as shown in Figure 1a. This process was executed cyclically until the total strain was 10%, giving a typical strain rate of about 4 × 107 s−1. In the deformation process, the X-direction was the free surface, and the other two directions were the enforced PBCs. The low temperature of 50 K and the free surface of the X-direction facilitated the shear-band formation [5,25].

3. Results and Discussion

3.1. Stress-Strain Curve

The stress-strain curve of the Zr46Cu46Al8 MG is divided into three regions, marked as A, B, and C in Figure 1b. Region A is basically composed of linear segments, corresponding to elastic deformation. At the end of region A, the curve deviates from linearity, suggesting the occurrence of irreversible shear transitions. At a strain of 3.5%, the stress reaches a maximum and the subsequent sharp drop corresponds to the shear-band initiation [5]. At a strain of 6%, the stress reaches a steady state and is considered as the strength of a propagating shear band [26,27,28,29]. Therefore, region B corresponds to the shear-band formation. The difference in maximum strength and flow strength indicates the degree of local softening during deformation. Region C corresponds to the shear-band propagation and subsequent stages. Generally, the maximum stress corresponding to the shear-band initiation is obvious, while the stress corresponding to the shear-band formation is usually difficult to determine experimentally. However, in our simulation, there is a saddle point at a strain of 6%, as shown in Figure 1b, which is associated with the shear-band formation. To verify this, the specific process of the shear-band formation is shown in Figure 2.

3.2. Atomic Local Shear Strain

Figure 2a–c shows snapshots capturing the atomic deformation processes at strains of (a) 3.5%, (b) 5%, and (c) 6%. Only atoms with local shear strain ηMises > 0.3 are displayed. The shear band is initiated in the surface at a strain of 3.5%, corresponding to the maximum stress. Further straining induces the formation of half incipient shear bands at a strain of 5%. As the load increases to a strain of 6%, the shear band is completely formed in the MG. Combined with the stress-strain curve in Figure 1, the shear band is initiated at the peak stress, and forms during strain ranges of 3.5% to 6%. The dilation of the structure during the shear-band formation is similar to that in a supercooled liquid state, indicating that the process of shear-band formation is similar to the process of stress-induced glass transition [30]. The saddle point on the stress-strain curve is related to the stress-induced ‘glass transition point’ at a strain of 6%. To explain the phenomenon, the corresponding evolution of the microstructure in the process was studied in detail in the following.

3.3. Cluster Analysis

Most polyhedra in MGs exist in the form of links, not in isolation [31]. Therefore, the connection of clusters through the polyhedral nearest neighbors was analyzed. The basic parameters generated by cluster analysis are: number, average size, distribution, and maximum size of clusters. Here, we select atoms with the number of quasi-nearest atoms (QNA) being 0 as the constituent units of the clusters. A pair of QNA should satisfy the following three conditions: (1) They share a common nearest neighbor; (2) their corresponding Voronoi faces of the Voronoi polyhedron centered by their common nearest neighbor share an edge; and (3) they are not the nearest neighbors of each other [32,33,34]. The number of QNAs (NQ) reflects the disorder degree of the atomic structure [35]. NQ = 0 suggests that the central atom is subject to many constraints and is not easy to move, belonging to the class of solid atoms. The cluster networks composed of atoms with NQ = 0 resist deformation [35]. As shown in Figure 3, the number of clusters with NQ = 0 increases with increasing strain, reaching a maximum at a strain of 6%. The average size of the clusters decreases with increasing strain, reaching a minimum at a strain of 6%. This suggests that the shearing units gradually break the original cluster network composed of atoms belonging to NQ = 0 as the strain increases, as shown in the insert of Figure 3. Therefore, the average size of the cluster becomes smaller and the number of clusters becomes larger. Since the yield corresponds to the interconnection of the liquid-like cores, a liquid-like layer in the shear plane begins to form at the strain of 3.5%, corresponding to the initiation of a shear band. On the other hand, the breakdown of the icosahedral clusters is also a structural feature of yielding, which proves that the connection and softness of the liquid-like cores provide the origin of the shear band [5]. After yielding, local plastic shearing events, such as STZs, aggregate and link to one another, gradually developing into a mature shear band during the strain range of 3.5% to 6%. When the shear band is completely formed at a strain of 6%, the size and number of the clusters experience minimum and maximum values, suggesting that strains should be easily confined in the shear bands and not easily extended to other undeformed areas. After a strain of 6%, the number of clusters with NQ = 0 decreases, while the average size of the clusters increase, reconstructing cluster networks composed of atoms with NQ = 0. Therefore, the stress causes the shear band to change from liquid-like to solid-like, achieving a smooth flow stress state. In addition, after a strain of 6%, the number and size of the clusters remains basically unchanged. During shear-band formation, the elastic energy gradually dissipates in the shear plane, resulting in softening becoming dominant; after which the elastic energy is consumed and the shear band changes from liquid-like to solid-like, resulting in the arrest of the shear band [36,37]. Therefore, our results are consistent with the published results.

3.4. Bond Orientational Order

The bond orientational order (BOO) can quantify the orientational symmetry of atomic clusters in disordered systems, and is defined as [38]:
Y ¯ l m = 1 N i j = 1 N i Y l m ( θ ( r i j ) ,   ( r i j ) )
q l = 4 π 2 l + 1 m = l l Y ¯ l m Y ¯ l m *
where, Ylm are the spherical harmonics, Ni is the number of nearest neighbors of atom i, the angles θ and ϕ are the standard spherical polar angles, and rij is the position vector between atom i and j. The value q6 = 0.663 represents a perfect icosahedron [39,40]. The Cu-centered icosahedra in the shear band are severely destroyed and some other polyhedra are formed, whose first nearest neighbors are characterized by q6 < 0.57 [41]. Kim and Ryu found that Cu atoms with higher q6 have higher structural rigidity and are more resistant to deformation [42]. In our work, the selection range of q6 is set from 0.57 to 0.663 to characterize the resistance to deformation. The relative number of atoms with NQ = 0 as a function of q6 between 0.57 and 0.663 is shown in Figure 4, which represents the number of atoms with NQ = 0 at different strains subtracted from that at a strain of 0%. As the strain increases, the relative number of atoms gradually decreases. At a strain of 6%, the relative number of atoms reaches the minimum. After a strain of 6%, the relative number of atoms gradually increases with increasing strain. As mentioned above, atoms in the region of high q6 (0.57–0.663) possess the properties of high rigidity and low-participation deformation. At a strain of 6%, the q6 reaches a minimum, indicating the weakest resistance to deformation and the largest fraction of the atoms participating in the deformation. This corresponds exactly to the shear band being completely formed and needing to propagate.

3.5. Polyhedral Loss

The structural evolution of the shear bands is characterized from the number, size, and symmetry of the clusters, and the specific structural changes of clusters are characterized in more detail in the following. Voronoi polyhedra (VP) are expressed using the indexes <n3, n4, n5, n6>, in which ni represents the number of i-edged faces [43]. The <0, 0, 12, 0> VP correspond to full icosahedra in MGs and are closely related to the deformation [16,44]. Compared to any other short-range order, the high content of icosahedra corresponds to a high yield strength and an enhanced shear resistance [7,14]. The <0, 2, 8, 5> VP tend to be connected to each other and form interpenetrating network structures in the shear band in Cu64Zr36 MGs [25]. Therefore, the <0, 0, 12, 0> and <0, 2, 8, 5> VP are selected to represent polyhedral loss. The polyhedral loss refers to the loss of the polyhedral number of the nearest neighbors of each atom at different strains compared to that at a strain of 0%, which reflects the damage degree of the cluster networks. As shown in Figure 5, it is found that there is an extreme point and a maximum of the number of the polyhedral loss of Cu-centered <0, 0, 12, 0> at the strain of 3.5% and 6%, respectively. During plastic deformation, the icosahedral fraction in the shear bands decreases [5,45]. The extreme point for the number of polyhedral loss of Cu-centered <0, 0, 12, 0> at a strain of 3.5% corresponds to the beginning of shear-band formation; and the maximum at a strain of 6% suggests that the shear band is completely formed, leading to the icosahedral damage reaching the maximum. This is because, as the strain increases, new STZs continue to be produced, which sacrifice the icosahedra. There is a minimum of the number of polyhedral loss of Zr-centered <0, 2, 8, 5> at a strain of 6%. Our preliminary results indicate that Zr-centered <0, 2, 8, 5> VP tend to be connected with each other, forming an interpenetrating backbone in the shear band. The minimum for the number of polyhedral loss of Zr-centered <0, 2, 8, 5> at a strain of 6% suggests that the shear band has been completely formed, and the newly formed Zr-centered <0, 2, 8, 5> clusters cancel out the clusters destroyed by the previous deformation. As the strain increases, the number of polyhedral loss of Al-centered <0, 0, 12, 0> gradually increases. However, the Al-centered <0, 0, 12, 0> VP remain basically unchanged after a strain of 5%, and there is no extreme point for the number of polyhedral loss of Al-centered <0, 0, 12, 0>. This is because the metallic bonds between Cu and Zr are more flexible and easier to break and reform than the covalent-like bonds of Al-X [46,47,48]. After a strain of 6%, the number of polyhedral loss of Zr-centered <0, 2, 8, 5>, Cu-centered <0, 0, 12, 0>, and Al-centered <0, 0, 12, 0> VP all reach stable values, as shown in Figure 5, which suggests that the solid-like structure is reconstructed, and the MG matrix resists the shear band sliding. As seen in Figure 3, the number of clusters with NQ = 0 decreases after a strain of 6%, while the average size of clusters increases, reconstructing cluster networks composed of atoms with NQ = 0.

4. Conclusions

The evolution from initiation to formation of a shear band in Zr46Cu46Al8 MGs was investigated through a molecular dynamics simulation. The shear band is initiated at the peak stress, and forms during the strain range of 3.5% to 6%, characterized by atomic local shear strains ηMises greater than 0.3. The maximum number and the minimum average size of clusters with NQ = 0 at the strain of 6% corresponds to the shear-band formation. Further, the distribution of q6 reaches a minimum, indicating the weakest resistance to deformation and the shear-band formation. The maximum of the number of the polyhedral loss of Cu-centered <0, 0, 12, 0> and the minimum of the number of the polyhedral loss of Zr-centered <0, 2, 8, 5> at a strain of 6% suggest that the icosahedral damage reaches the maximum and the newly formed Zr-centered <0, 2, 8, 5> clusters cancel out the clusters destroyed by the previous deformation, corresponding to the shear-band formation. The specific structural signatures characterizing when and how the shear band is formed provide a more in-depth understanding of the formation mechanism of shear bands.

Author Contributions

Conceptualization, S.-D.F. and K.K.C.C.; Data curation, L.Z.; Formal analysis, S.-D.F.; Funding acquisition, S.-D.F.; Investigation, S.-D.F.; Methodology, S.-D.F.; Project administration, R.-P.L.; Resources, K.K.C.C.; Software, L.Z.; Supervision, L.-M.W. and R.-P.L.; Validation, S.-D.F.; Visualization, S.-D.F.; Writing—Original draft, S.-D.F.; Writing—Review & editing, S.-D.F. and K.K.C.C.

Funding

This research was funded by the National Natural Science Foundation of China, grant number 51801174, the Program for the Top Young Talents of Higher Learning Institutions of Hebei, grant number BJ2018021, the Hong Kong Scholars Program, grant number XJ2017049, and the Hong Kong Polytechnic University, grant number G-YZ1J.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Qiao, J.C.; Yao, Y.; Pelletier, J.M.; Keer, L.M. Understanding of micro-alloying on plasticity in Cu46Zr47-xAl7Dyx (0 ≤ x ≤ 8) bulk metallic glasses under compression: Based on mechanical relaxations and theoretical analysis. Int. J. Plast. 2016, 82, 62–75. [Google Scholar] [CrossRef]
  2. Cheng, Y.; Peng, C.; Zhang, Z.; Wang, P.; Yuan, S.; Wang, L. Plastic deformation of pressured metallic glass. Materials 2017, 10, 1361. [Google Scholar] [CrossRef] [PubMed]
  3. Chen, T.-H.; Tsai, C.-K. The microstructural evolution and mechanical properties of Zr-based metallic glass under different strain rate compressions. Materials 2015, 8, 1831–1840. [Google Scholar] [CrossRef]
  4. Maaß, R.; Löffler, J.F. Shear-band dynamics in metallic glasses. Adv. Funct. Mater. 2015, 25, 2353–2368. [Google Scholar] [CrossRef]
  5. Cao, A.J.; Cheng, Y.Q.; Ma, E. Structural processes that initiate shear localization in metallic glass. Acta Mater. 2009, 57, 5146–5155. [Google Scholar] [CrossRef]
  6. Li, L.; Homer, E.R.; Schuh, C.A. Shear transformation zone dynamics model for metallic glasses incorporating free volume as a state variable. Acta Mater. 2013, 61, 3347–3359. [Google Scholar] [CrossRef] [Green Version]
  7. Wright, W.J.; Samale, M.W.; Hufnagel, T.C.; LeBlanc, M.M.; Florando, J.N. Studies of shear band velocity using spatially and temporally resolved measurements of strain during quasistatic compression of a bulk metallic glass. Acta Mater. 2009, 57, 4639–4648. [Google Scholar] [CrossRef]
  8. Yousfi, M.; Hajlaoui, K.; Tourki, Z.; Yavari, A. Constitutive rheological modeling of flow serration behaviour in metallic glasses showing nanocrystallization during deformation. J. Nanomater. 2011, 2011, 910962. [Google Scholar] [CrossRef]
  9. Zhong, C.; Zhang, H.; Cao, Q.P.; Wang, X.D.; Zhang, D.X.; Ramamurty, U.; Jiang, J.Z. On the critical thickness for non-localized to localized plastic flow transition in metallic glasses: A molecular dynamics study. Scr. Mater. 2016, 114, 93–97. [Google Scholar] [CrossRef]
  10. Wang, L.; Liu, M.C.; Huang, J.C.; Li, Y.; Wang, W.H.; Nieh, T.G. Effect of temperature on the yield strength of a binary CuZr metallic glass: Stress-induced glass transition. Intermetallics 2012, 26, 162–165. [Google Scholar] [CrossRef]
  11. Delogu, F. Molecular dynamics of shear transformation zones in metallic glasses. Intermetallics 2008, 16, 658–661. [Google Scholar] [CrossRef]
  12. Fan, H.Y.; Liu, X.J.; Wang, H.; Wu, Y.; Wang, H.; Lu, Z.P. Mechanical heterogeneity and its relation with glass-forming ability in Zr-Cu and Zr-Cu-Al metallic glasses. Intermetallics 2017, 90, 159–163. [Google Scholar] [CrossRef]
  13. Yang, G.J.; Xu, B.; Qi, C.; Kong, L.T.; Li, J.F. Effect of notch depth on the mechanical behavior of Cu50Zr50 metallic glasses revealed by molecular dynamics simulations. Intermetallics 2018, 93, 303–311. [Google Scholar] [CrossRef]
  14. Li, Q.K.; Li, M. Assessing the critical sizes for shear band formation in metallic glasses from molecular dynamics simulation. Appl. Phys. Lett. 2007, 91, 231905. [Google Scholar] [CrossRef]
  15. Tang, C.; Wong, C.H. Effect of atomic-level stresses on local dynamic and mechanical properties in CuxZr100−x metallic glasses: A molecular dynamics study. Intermetallics 2015, 58, 50–55. [Google Scholar] [CrossRef]
  16. Qiao, J.; Casalini, R.; Pelletier, J.M. Effect of physical aging on Johari-Goldstein relaxation in La-based bulk metallic glass. J. Chem. Phys. 2014, 141, 104510. [Google Scholar] [CrossRef] [PubMed]
  17. Baumer, R.; Demkowicz, M. Glass transition by gelation in a phase separating binary alloy. Phys. Rev. Lett. 2013, 110, 145502. [Google Scholar] [CrossRef]
  18. Zemp, J.; Celino, M.; Schönfeld, B.; Löffler, J.F. Icosahedral superclusters in Cu64Zr36 metallic glass. Phys. Rev. B 2014, 90, 144108. [Google Scholar] [CrossRef]
  19. Plimpton, S. Fast parallel algorithms for short-range molecular dynamics. J. Comput. Phys. 1995, 117, 1–19. [Google Scholar] [CrossRef]
  20. Cheng, Y.Q.; Ma, E.; Sheng, H.W. Atomic level structure in multicomponent bulk metallic glass. Phys. Rev. Lett. 2009, 102, 245501. [Google Scholar] [CrossRef] [PubMed]
  21. Jiang, Q.K.; Wang, X.D.; Nie, X.P.; Zhang, G.Q.; Ma, H.; Fecht, H.J.; Bendnarcik, J.; Franz, H.; Liu, Y.G.; Cao, Q.P.; et al. Zr-(Cu,Ag)-Al bulk metallic glasses. Acta Mater. 2008, 56, 1785–1796. [Google Scholar] [CrossRef]
  22. Hoover, W.G. Canonical dynamics: Equilibrium phase-space distributions. Phys. Rev. A 1985, 31, 1695. [Google Scholar] [CrossRef]
  23. Parrinello, M.; Rahman, A. Polymorphic transitions in single crystals: A new molecular dynamics method. J. Appl. Phys. 1981, 52, 7182–7190. [Google Scholar] [CrossRef]
  24. Nosé, S. A unified formulation of the constant temperature molecular dynamics methods. J. Chem. Phys. 1984, 81, 511–519. [Google Scholar] [CrossRef]
  25. Feng, S.D.; Qi, L.; Wang, L.M.; Pan, S.P.; Ma, M.Z.; Zhang, X.Y.; Li, G.; Liu, R.P. Atomic structure of shear bands in Cu64Zr36 metallic glasses studied by molecular dynamics simulations. Acta Mater. 2015, 95, 236–243. [Google Scholar] [CrossRef]
  26. Shi, Y.; Falk, M.L. Atomic-scale simulations of strain localization in three-dimensional model amorphous solids. Phys. Rev. B 2006, 73, 214210. [Google Scholar] [CrossRef]
  27. Park, K.-W.; Fleury, E.; Seok, H.-K.; Kim, Y.-C. Deformation behaviors under tension and compression: Atomic simulation of Cu65Zr35 metallic glass. Intermetallics 2011, 19, 1168–1173. [Google Scholar] [CrossRef]
  28. Lee, S.-C.; Lee, C.-M.; Lee, J.-C.; Kim, H.-J.; Shibutani, Y.; Fleury, E.; Falk, M.L. Structural disordering process of an amorphous alloy driven by the elastostatic compression at room temperature. Appl. Phys. Lett. 2008, 92, 151906. [Google Scholar] [CrossRef]
  29. Ogata, S.; Shimizu, F.; Li, J.; Wakeda, M.; Shibutani, Y. Atomistic simulation of shear localization in Cu-Zr bulk metallic glass. Intermetallics 2006, 14, 1033–1037. [Google Scholar] [CrossRef]
  30. Guan, P.F.; Chen, M.W.; Egami, T. Stress-temperature scaling for steady-state flow in metallic glasses. Phys. Rev. Lett. 2010, 104, 205701. [Google Scholar] [CrossRef]
  31. Lee, M.; Lee, C.-M.; Lee, K.-R.; Ma, E.; Lee, J.-C. Networked interpenetrating connections of icosahedra: Effects on shear transformations in metallic glass. Acta Mater. 2011, 59, 159–170. [Google Scholar] [CrossRef]
  32. Pan, S.P.; Feng, S.D.; Qiao, J.W.; Wang, W.M.; Qin, J.Y. Correlation between local structure and dynamic heterogeneity in a metallic glass-forming liquid. J. Alloys Compd. 2016, 664, 65–70. [Google Scholar] [CrossRef] [Green Version]
  33. Pan, S.P.; Feng, S.D.; Wang, L.M.; Qiao, J.W.; Niu, X.F.; Dong, B.S.; Wang, W.M.; Qin, J.Y. Structural disorder in metallic glass-forming liquids. Sci. Rep. 2016, 6, 27708. [Google Scholar] [CrossRef] [Green Version]
  34. Niu, X.; Feng, S.; Pan, S. Related structure characters and stability of structural defects in a metallic glass. Materials 2018, 11, 468. [Google Scholar] [CrossRef] [PubMed]
  35. Feng, S.D.; Chan, K.C.; Chen, S.H.; Zhao, L.; Liu, R.P. The role of configurational disorder on plastic and dynamic deformation in Cu64Zr36 metallic glasses: A molecular dynamics analysis. Sci. Rep. 2017, 7, 40969. [Google Scholar] [CrossRef] [PubMed]
  36. Ye, J.C.; Lu, J.; Yang, Y.; Liaw, P.K. Study of the intrinsic ductile to brittle transition mechanism of metallic glasses. Acta Mater. 2009, 57, 6037–6046. [Google Scholar] [CrossRef]
  37. Maaß, R.; Klaumünzer, D.; Villard, G.; Derlet, P.M.; Löffler, J.F. Shear-band arrest and stress overshoots during inhomogeneous flow in a metallic glass. Appl. Phys. Lett. 2012, 100, 071904. [Google Scholar] [CrossRef] [Green Version]
  38. Steinhardt, P.J.; Nelson, D.R.; Ronchetti, M. Bond-orientational order in liquids and glasses. Phys. Rev. B 1983, 28, 784. [Google Scholar] [CrossRef]
  39. Tanaka, H. Bond orientational order in liquids: Towards a unified description of water-like anomalies, liquid-liquid transition, glass transition, and crystallization. Eur. Phys. J. E 2012, 35, 113. [Google Scholar] [CrossRef]
  40. Mickel, W.; Kapfer, S.C.; Schröder-Turk, G.E.; Mecke, K. Shortcomings of the bond orientational order parameters for the analysis of disordered particulate matter. J. Chem. Phys. 2013, 138, 044501. [Google Scholar] [CrossRef] [Green Version]
  41. Tercini, M.; de Aguiar Veiga, R.G.; Zúñiga, A. Local atomic environment and shear banding in metallic glasses. Comput. Mater. Sci. 2018, 155, 129–135. [Google Scholar] [CrossRef]
  42. Kim, S.; Ryu, S. Effect of surface and internal defects on the mechanical properties of metallic glasses. Sci. Rep. 2017, 7, 13472. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Medvedev, N. The algorithm for three-dimensional Voronoi polyhedra. J. Comput. Phys. 1986, 67, 223–229. [Google Scholar] [CrossRef]
  44. Cheng, Y.; Sheng, H.; Ma, E. Relationship between structure, dynamics, and mechanical properties in metallic glass-forming alloys. Phys. Rev. B 2008, 78, 014207. [Google Scholar] [CrossRef]
  45. Ritter, Y.; Albe, K. Thermal annealing of shear bands in deformed metallic glasses: Recovery mechanisms in Cu64Zr36 studied by molecular dynamics simulations. Acta Mater. 2011, 59, 7082–7094. [Google Scholar] [CrossRef]
  46. Yuan, C.; Shen, X.; Cui, J.; Gu, L.; Yu, R.; Xi, X. Atomic and electronic structures of Zr-(Co, Ni, Cu)-Al metallic glasses. Appl. Phys. Lett. 2012, 101, 021902. [Google Scholar] [CrossRef]
  47. Cheng, Y.Q.; Ma, E. Atomic-level structure and structure-property relationship in metallic glasses. Prog. Mater. Sci. 2011, 56, 379–473. [Google Scholar] [CrossRef]
  48. Lo, Y.C.; Chou, H.S.; Cheng, Y.T.; Huang, J.C.; Morris, J.R.; Liaw, P.K. Structural relaxation and self-repair behavior in nano-scaled Zr-Cu metallic glass under cyclic loading: Molecular dynamics simulations. Intermetallics 2010, 18, 954–960. [Google Scholar] [CrossRef]
Figure 1. (a) The schematic diagram of atomic structure and deformation process. (b) The stress-strain curve of the Zr46Cu46Al8 MG divided into three regions, marked as A, B, and C.
Figure 1. (a) The schematic diagram of atomic structure and deformation process. (b) The stress-strain curve of the Zr46Cu46Al8 MG divided into three regions, marked as A, B, and C.
Materials 11 02564 g001
Figure 2. Snapshots capturing the atomic deformation processes at strains of (a) 3.5%, (b) 5%, and (c) 6%. Only atoms with local shear strain ηMises > 0.3 are displayed.
Figure 2. Snapshots capturing the atomic deformation processes at strains of (a) 3.5%, (b) 5%, and (c) 6%. Only atoms with local shear strain ηMises > 0.3 are displayed.
Materials 11 02564 g002
Figure 3. The number and average size of clusters with NQ = 0 at different strains. The insert shows the schematic diagram of breaking atomic connectivity.
Figure 3. The number and average size of clusters with NQ = 0 at different strains. The insert shows the schematic diagram of breaking atomic connectivity.
Materials 11 02564 g003
Figure 4. Distribution of relative number of atoms with NQ = 0 as a function of q6, which is the number of atoms at different strains subtracted from that at a strain of 0%.
Figure 4. Distribution of relative number of atoms with NQ = 0 as a function of q6, which is the number of atoms at different strains subtracted from that at a strain of 0%.
Materials 11 02564 g004
Figure 5. The number of polyhedral loss of Zr-centered <0, 2, 8, 5>, Cu-centered <0, 0, 12, 0>, and Al-centered <0, 0, 12, 0> at different strains.
Figure 5. The number of polyhedral loss of Zr-centered <0, 2, 8, 5>, Cu-centered <0, 0, 12, 0>, and Al-centered <0, 0, 12, 0> at different strains.
Materials 11 02564 g005

Share and Cite

MDPI and ACS Style

Feng, S.-D.; Chan, K.K.C.; Zhao, L.; Wang, L.-M.; Liu, R.-P. Molecular Dynamics Simulation of Structural Signals of Shear-Band Formation in Zr46Cu46Al8 Metallic Glasses. Materials 2018, 11, 2564. https://doi.org/10.3390/ma11122564

AMA Style

Feng S-D, Chan KKC, Zhao L, Wang L-M, Liu R-P. Molecular Dynamics Simulation of Structural Signals of Shear-Band Formation in Zr46Cu46Al8 Metallic Glasses. Materials. 2018; 11(12):2564. https://doi.org/10.3390/ma11122564

Chicago/Turabian Style

Feng, Shi-Dong, Keith K. C. Chan, Lei Zhao, Li-Min Wang, and Ri-Ping Liu. 2018. "Molecular Dynamics Simulation of Structural Signals of Shear-Band Formation in Zr46Cu46Al8 Metallic Glasses" Materials 11, no. 12: 2564. https://doi.org/10.3390/ma11122564

APA Style

Feng, S.-D., Chan, K. K. C., Zhao, L., Wang, L.-M., & Liu, R.-P. (2018). Molecular Dynamics Simulation of Structural Signals of Shear-Band Formation in Zr46Cu46Al8 Metallic Glasses. Materials, 11(12), 2564. https://doi.org/10.3390/ma11122564

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop