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Topic Name: Penn Engineers has Constructed a Theoretical Model to Predict the Strength of Metals at the Nanoscale, Surface Dislocation Nucleation
Category: Nanobiotechnology
Research persons: Penn Research Team
Location: School of Engineering and Applied Science, University of Pennsylvania, United States
Details
For centuries, engineers have bent and torn metals to test
their strength and ductility. Now, materials scientists at the
University of Pennsylvania
School of Engineering and Applied Science are studying the same metals but
at nanoscale sizes in the form of wires a thousand times thinner than a human
hair. This work has enable Penn engineers to construct a theoretical model to
predict the strength of metals at the nanoscale. Using this model, they have
found that, while metals tend to be stronger at nanoscale volumes, their
strengths saturate at around 10-50 nanometers diameter, at which point they also
become more sensitive to temperature and strain rate. Such prediction of
different strength regimes of nano-solids is important for future application
and engineering design of nanotechnology.
Such small-volume materials with relatively large surface
areas are now routinely employed in microchips and nanoscience and technology,
and their mechanical properties can differ vastly from their macroscale
counterparts. Typically, smaller is stronger. A gold wire 200 nanometers in
diameter can be 50 times stronger per area than centimeter-sized single-crystal
gold. Engineers investigated the "smaller is stronger" trend.
Ju Li, an associate professor in the
Department of Materials Science and Engineering at Penn, and his
collaborators at the Georgia
Institute of Technology have combined transition state theory, explicit
atomistic energy landscape calculation and computer simulation to establish a
theoretical framework to predict the strengths of small-volume materials. Unlike
previous models, their prediction can be directly compared with experiments
performed at realistic temperature and loading rates. This research appeared as
a cover article in Volume 100 of Physical Review Letters.
Their study demonstrated that the free, exterior surface of
nanosized materials can be fertile breeding grounds of dislocations at high
stresses. Dislocations are string-like defects whose movements give rise to
plastic flow, or shape change, of solids. In large-volume materials, it is easy
for dislocations to multiply and entangle and to maintain a decent population
inside; however, in small-volume materials, dislocations could show up and then
exit the sample, one at a time. To initiate and sustain plastic flow in this
case, dislocations need to be frequently nucleated fresh from the surface.
Since surface is itself a defect, researchers asked to what
degree the measured strength of a small-volume material reflects surface
properties and surface-mediated processes, particularly when the sample size is
in the range of tens of nanometers. Li and his team modeled tiny bits of gold
and copper to investigate the probabilistic nature of surface dislocation
nucleation. The study showed that the activation volume associated with surface
dislocation nucleation is characteristically in the range of 1–10 times the
atomic volume, much smaller than that of many conventional dislocation
processes. Small activation volumes will lead to sensitive temperature and
strain-rate dependence of the critical stress, providing an upper bound to the
size-strength relation.
From this, the team predicted that the "smaller is stronger"
trend will saturate at wire diameters 10-50 nanometers for most metals. For
comparison, computers now contain microchips with 45 nanometer strained silicon
features. Associated with this saturation in strength is a transition in the
rate-controlling mechanism, from collective dislocation dynamics to single
dislocation nucleation.
Note for Dislocation
In materials science, a dislocation is a crystallographic defect, or
irregularity, within a crystal structure. The presence of dislocations strongly
influences many of the properties of materials. The theory was originally
developed by Vito Volterra in 1905. Some types of dislocations can be visualised
as being caused by the termination of a plane of atoms in the middle of a
crystal. In such a case, the surrounding planes are not straight, but instead
bend around the edge of the terminating plane so that the crystal structure is
perfectly ordered on either side. The analogy with a stack of paper is apt: if a
half a piece of paper is inserted in a stack of paper, the defect in the stack
is only noticeable at the edge of the half sheet.
Mathematically, dislocations are a type of topological defect, sometimes called
a soliton. The mathematical theory explains why dislocations behave as stable
particles: they can be moved about, but maintain their identity as they move.
Two dislocations of opposite orientation, when brought together, can cancel each
other (this is the process of annihilation), but a single dislocation typically
cannot "disappear" on its own.
There are two main types of dislocation, edge and screw. Dislocations found in
real materials typically are mixed, meaning that they have characteristics of
both.
A crystalline material consists of a regular array of atoms, arranged into e
planes (imagine stacking oranges in a grocers, each of the trays of oranges are
the lattice planes). One approach is to begin by considering a 3-d
representation of a perfect crystal lattice, with the atoms represented by
spheres. The viewer may then start to simplify the representation by visualising
planes of atoms instead of the atoms themselves.
When a dislocation line intersects the surface of a metallic material, the
associated strain field locally increases the relative susceptibility of the
material to acidic etching and an etch pit of regular geometrical format
results. If the material is strained (deformed) and repeatedly re-etched, a
series of etch pits can be produced which effectively trace the movement of the
dislocation in question.
Transmission electron microscopy can be used to observe dislocations within the
microstructure of the material. Thin foils of metallic samples are prepared to
render them transparent to the electron beam of the microscope. The electron
beam suffers diffraction by the regular crystal lattice planes of the metal
atoms and the differing relative angles between the beam and the lattice planes
of each grain in the metal's microstructure result in image contrast (between
grains of different crystallographic orientation). The less regular atomic
structures of the grain boundaries and in the strain fields around dislocation
lines have different diffractive properties than the regular lattice within the
grains, and therefore present different contrast effects in the electron
micrographs. (The dislocations are seen as dark lines in the lighter, central
region of the micrographs on the right). Transmission electron micrographs of
dislocations typically utilize magnifications of 50,000 to 300,000 times (though
the equipment itself offers a wider range of magnifications than this).
Note for Nanotechnology
Nanotechnology refers broadly to a field of applied science and technology whose
unifying theme is the control of matter on the atomic and molecular scale,
normally 1 to 100 nanometers, and the fabrication of devices with critical
dimensions that lie within that size range.
It is a highly multidisciplinary field, drawing from fields such as applied
physics, materials science, interface and colloid science, device physics,
supramolecular chemistry (which refers to the area of chemistry that focuses on
the noncovalent bonding interactions of molecules), self-replicating machines
and robotics, chemical engineering, mechanical engineering, biological
engineering, and electrical engineering. Much speculation exists as to what may
result from these lines of research. Nanotechnology can be seen as an extension
of existing sciences into the nanoscale, or as a recasting of existing sciences
using a newer, more modern term.
Two main approaches are used in nanotechnology. In the "bottom-up" approach,
materials and devices are built from molecular components which assemble
themselves chemically by principles of molecular recognition. In the "top-down"
approach, nano-objects are constructed from larger entities without atomic-level
control. The impetus for nanotechnology comes from a renewed interest in
Interface and Colloid Science, coupled with a new generation of analytical tools
such as the atomic force microscope (AFM), and the scanning tunneling microscope
(STM). Combined with refined processes such as electron beam lithography and
molecular beam epitaxy, these instruments allow the deliberate manipulation of
nanostructures, and led to the observation of novel phenomena.
Examples of nanotechnology in modern use are the manufacture of polymers based
on molecular structure, and the design of computer chip layouts based on surface
science. Despite the great promise of numerous nanotechnologies such as quantum
dots and nanotubes, real commercial applications have mainly used the advantages
of colloidal nanoparticles in bulk form, such as suntan lotion, cosmetics,
protective coatings, drug delivery, and stain resistant clothing.
One nanometer (nm) is one billionth, or 10-9 of a meter. For comparison, typical
carbon-carbon bond lengths, or the spacing between these atoms in a molecule,
are in the range .12-.15 nm, and a DNA double-helix has a diameter around 2 nm.
On the other hand, the smallest cellular lifeforms, the bacteria of the genus
Mycoplasma, are around 200 nm in length. To put that scale in to context the
comparative size of a nanometer to a meter is the same as that of a marble to
the size of the earth. Or another way of putting it: a nanometer is the amount a
man's beard grows in the time it takes him to raise the razor to his face.
Molecular nanotechnology, sometimes called molecular manufacturing, is a term
given to the concept of engineered nanosystems (nanoscale machines) operating on
the molecular scale. It is especially associated with the concept of a molecular
assembler, a machine that can produce a desired structure or device atom-by-atom
using the principles of mechanosynthesis. Manufacturing in the context of
productive nanosystems is not related to, and should be clearly distinguished
from, the conventional technologies used to manufacture nanomaterials such as
carbon nanotubes and nanoparticles.
When the term "nanotechnology" was independently coined and popularized by Eric
Drexler (who at the time was unaware of an earlier usage by Norio Taniguchi) it
referred to a future manufacturing technology based on molecular machine
systems. The premise was that molecular-scale biological analogies of
traditional machine components demonstrated molecular machines were possible: by
the countless examples found in biology, it is known that sophisticated,
stochastically optimised biological machines can be produced.
It is hoped that developments in nanotechnology will make possible their
construction by some other means, perhaps using biomimetic principles. However,
Drexler and other researchers have proposed that advanced nanotechnology,
although perhaps initially implemented by biomimetic means, ultimately could be
based on mechanical engineering principles, namely, a manufacturing technology
based on the mechanical functionality of these components (such as gears,
bearings, motors, and structural members) that would enable programmable,
positional assembly to atomic specification (PNAS-1981). The physics and
engineering performance of exemplar designs were analyzed in Drexler's book
Nanosystems.
The National
Science Foundation-funded study was performed by Li and Amit Samanta of Penn
and, from Georgia Tech, Ting Zhu and Ken Gall of the
Woodruff School of
Mechanical Engineering and Austin Leach of the School of Materials Science
and Engineering.
In figure, Atomic configuration of nucleation (blue atom
group) in the surface layer of a square copper nanowire (yellow and green atoms)
under uniaxial stress. Nucleation occurs at a partial dislocation in the surface
layer. Colors refer to the breaking of local inversion symmetry.
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