Yearly Archives: 2019

Additive manufacturing (AM), also known as 3D printing, is often used to produce engineering components. By utilising lattice structures (such as that shown below) to replace solid materials, these components are much lighter that their solid counterparts, and can be engineered in such a way that they also exhibit property combinations that are inaccessible to conventional solids. These structures are known as architected materials.

These lattice structures typically have a uniform layout with nodes all conforming to a regular array with the struts between the nodes all following common planes: and herein lies the problem.

The work, detailed in Nature magazine on 17 January 2019, explains how these uniform lattices replicate the structure of a metallic single crystal: the nodes in the AM lattice are equivalent to the atoms in the single crystal and the struts are equivalent to the atomic bonds. In each of these structures, the atomic planes, or nodes are all perfectly aligned.

While in some applications, such as the high temperature end of a jet engine, single crystal materials are ideal because of their ability to withstand deformation at extreme temperatures, they have limitations relating to their mechanical performance. This limitation is also observed in AM parts with a uniform lattice structure.

When the structure is put into compression, once the force is sufficient to cause permanent deformation, the lattice shears along one or more of the planes of nodes. With nothing to inhibit this shearing, the collapse becomes catastrophic.

In polycrystalline materials — those with many crystals — the alignment of the atomic planes is random, so when a shear force is in a particular direction, a crack will slow down or stop when it meets a crystal where the atoms are aligned differently from the crystal in which the crack initiated. Moreover, it is possible to introduce different materials in the form of phases, precipitates or inclusions used to strengthen the materials; these materials also help to inhibit crack propagation.

It is this fundamental metallurgical understanding that inspired scientists at Imperial College London and the University of Sheffield to mimic polycrystalline microstructures in AM lattices with the aim of developing robust, damage-tolerant architected materials.

Through the computer modelling of atomic structures, scaling them up and creating meso-structures based on polycrystalline materials, engineers are transforming the way that materials are designed, for which the name ‘meta-crystals’ has been coined.

Experimental testing of components made from these meta-crystals has demonstrated that they are highly energy absorbant, with the polycrystal-like material able to withstand almost seven times the energy before failure than the materials that mimic the single-crystal structure.

While the basic metallurgical concepts are being used to inspire the development of architected materials, researchers are using the creation of architected materials as an alternative approach to study complex metallurgical phenomena.

Prof Iain Todd of The University of Sheffield: “This approach to materials development has potentially far-reaching implications for the additive manufacturing sector. The fusion of physical metallurgy with architected meta-materials will allow engineers to create damage-tolerant architectured materials with desired strength and toughness, while also improving the performance of architectured materials in response to external loads.

“And while these materials can be used as standalone structures, they can also be infiltrated with other materials in order to create composites for a wide variety of applications.”

Dr Minh-Son Pham of Imperial College London: “This meta-crystal approach could be combined with recent advances in multi-material 3D printing to open up a new frontier of research in developing new advanced materials that are lightweight and mechanically robust, with the potential to advance future low carbon technologies.”

“Slowly” is the operative word; typical smart glass takes several minutes to reach its darkened state, and many cycles between light and dark tend to degrade the tinting quality over time. Colorado State University chemists have devised a potentially major improvement to both the speed and durability of smart glass by providing a better understanding of how the glass works at the nanoscale.

They offer an alternative nanoscale design for smart glass in new research published June 3 in Proceedings of the National Academy of Sciences. The project started as a grant-writing exercise for graduate student and first author R. Colby Evans, whose idea — and passion for the chemistry of color-changing materials — turned into an experiment involving two types of microscopy and enlisting several collaborators. Evans is advised by Justin Sambur, assistant professor in the Department of Chemistry, who is the paper’s senior author.

The smart glass that Evans and colleagues studied is “electrochromic,” which works by using a voltage to drive lithium ions into and out of thin, clear films of a material called tungsten oxide. “You can think of it as a battery you can see through,” Evans said. Typical tungsten-oxide smart glass panels take 7-12 minutes to transition between clear and tinted.

The researchers specifically studied electrochromic tungsten-oxide nanoparticles, which are 100 times smaller than the width of a human hair. Their experiments revealed that single nanoparticles, by themselves, tint four times faster than films of the same nanoparticles. That’s because interfaces between nanoparticles trap lithium ions, slowing down tinting behavior. Over time, these ion traps also degrade the material’s performance.

To support their claims, the researchers used bright field transmission microscopy to observe how tungsten-oxide nanoparticles absorb and scatter light. Making sample “smart glass,” they varied how much nanoparticle material they placed in their samples and watched how the tinting behaviors changed as more and more nanoparticles came into contact with each other. They then used scanning electron microscopy to obtain higher-resolution images of the length, width and spacing of the nanoparticles, so they could tell, for example, how many particles were clustered together, and how many were spread apart.

Based on their experimental findings, the authors proposed that the performance of smart glass could be improved by making a nanoparticle-based material with optimally spaced particles, to avoid ion-trapping interfaces.

Their imaging technique offers a new method for correlating nanoparticle structure and electrochromic properties; improvement of smart window performance is just one application that could result. Their approach could also guide applied research in batteries, fuel cells, capacitors and sensors.