High Temperature In Situ Compression of Thermoplastically Formed Nano-scale Metallic Glass

Abstract

The mechanical behavior of nano-scale metallic glasses was investigated by in situ compression tests in a scanning electron microscope. Platinum-based metallic glass nano-pillars were fabricated by thermoplastic forming. The nano-pillars and corresponding bulk substrate were tested in compression over the range of room temperature to glass transition. Stress-strain curves of the nano-pillars were obtained along with in situ observation of their deformation behavior. The bulk substrate as well as nano-pillars showed an increase in elastic modulus with temperature which is explained by diffusive rearrangement of atomic-scale viscoelastic units.

Nanosecond Laser “Pulling” Patterning of Micro–Nano Structures on Zr‐Based Metallic Glass

“…Based on nanoimprinting technology, [ 22 ] stripe patterns were introduced on an FeCo‐based MG surface. Via thermoplastic forming, [ 23 ] nanopillars were prepared on a Pt‐based MG surface.…”

“…Based on nanoimprinting technology, [22] stripe patterns were introduced on an FeCo-based MG surface. Via thermoplastic forming, [23] nanopillars were prepared on a Pt-based MG surface.Although the above-mentioned methods can be used to fabricate micronano structures on MG surfaces, the processing efficiency and flexibility are far from satisfactory. Alternatively, owing to its advantages of no contact and high…”

3D surface condensation of large atomic shear strain in nanoscale metallic glasses under low uniaxial stress

“…Significant amount of research is being performed to understand the deformation mechanisms in MGs and to develop compositions and processing strategies to mitigate the brittle failure [5][6][7][8][9][10]. Due to the inherent small spatial dimensions of shear transformation zones (STZs, groups of a few to a few tens of atoms) and shear bands (extended shear layers of tens of nanometer thickness)-the two basic deformation units in MGs, nanoscale MGs are frequently employed in both experimental and computational studies [11][12][13][14][15][16][17][18][19]. While these studies have provided useful insights into, for example, how testing conditions or sample imperfections (e.g.…”