Results of the team's study show that the greatest electrical conductivity occurs when the carbon nanotubes are not perfectly aligned, but only partially aligned. In addition, a higher conductivity at, or close to, the percolation threshold can be achieved with the presence of agglomerated carbon nanotubes. However, this also limits the amount of increase in the electrical conductivity of the nanocomposite with increased fractions of carbon nanotubes.
Standards for repair and maintenance of commercial aircraft have to date been based on the performance of metal-based planes, where damage is easier to identify. Techniques for repairing the metal portions of aircraft are well known and well established. But that's not at all the case with the composite materials used increasingly for primary structures such as wings and fuselage. Impact damage, for example, can be difficult to detect since it's less visible, and repair practices are not yet established for the multiple materials and repair techniques associated with them.
The self-monitoring aspect of this story is what fascinates me the most. I'd like to read more about this topic, especially what other areas something like this is being used in. Ann, do you happen to know?
Thanks, Rob. Yes, the hope here seems to be that since the use of adhesives is increasing massively along with the use of composites, adhesives can help provide an early-warning system for detecting structural problems in aircraft. Reading about nanotechnology and its possible applications is like reading about science fiction, far more so than most other leading-edge technologies. I covered early carbon tube and carbon wire R&D efforts several years ago, so it was heartening to see that it's advanced to the level of possible real-world applications. Although this, of course, is still in R&D.
The idea that some sort of nanotechnology adhesive can help predict a structural failure in a composite airplane wing is definitely science fiction-like. How far away is this technology from being commercialized given that composites are increasingly being deployed in planes?
This should contribute greatly to our understanding of failure mechanisms of composites in real-world applications. After all, failure mechanisms of steels is well understood, but composites are in still comparatively new in many of these applications. This is an important story.
@Ann: Can you walk me through how a sensor like this would work? I understand that Professor Meguid's group is studying how alignment of the nanotubes or nanowires affects the electrical conductivity of the adhesive. Is the idea that the presence of a crack would alter the alignment of the nanotubes or nanowires, and that this could be measured as a change in conductivity?
The use of the term "percolation threshold" seems to indicate that they are using graph theory, which is a good example of how seemingly abstract branches of mathematics can sometimes have extremely practical uses.
I can see how this could indeed work to indicate the start of failure. That part does make sense. But the question comes as to how to reset the detection scheme after the repairs are done. In the same way that embedded fiber optics do detect failures, the change is permanent and nonreverseable. Broken fibers and gaps between the microfibers just do not repair. The fix is a replacement. So while the detection system could work, the repairs would equate to replacements.
'percolation' is a physical phenomenon, referring to topological arrangements within a multi-component solid. Imagine for instance a matrix of substance A with embedded uniform spheres of conductive substance B. As you increase the concentration of B, at some point they will start touching each other on a macroscopic scale, so that the material would become conductive---that would be an example of percolation.
The concept is used in many contexts, for instance to describe flow of oil through pores in a rock matrix.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.