What if a simple photo of your plate was enough to analyze its nutritional content? It could be a great tool to spot dangerous ingredients for those with food allergies, but as it only records surface information for opaque objects (reflected light), it seems you’d never know what was lurking beneath-probably not worth the risk.įarmers might use a drone with a miniature hyperspectral camera to monitor crops. Health apps and handheld diagnostic devices come to mind.Ĭurrently, to keep track of what you’re eating, you have to manually enter each food. But depending on the accuracy of the device, applications range further than pure fun. What would a tricorder-like hyperspectral camera allow mobile devices to do? They would obviously be a fun novelty-great for analyzing that cocktail at happy hour. GPS doesn’t just locate you on a map, it also enables your phone to automatically provide local weather, time, or the nearest bus stop. Motion sensors, for example, are now commonly used in sleep tracking apps. Once incorporated into smartphones and opened to app developers, old sensors rapidly find new niches. And the interesting part is that we don’t know exactly how each new miniature sensor will be used. The Israeli device is notable, however, because it exemplifies a more general trend in sensors: What was once large, costly, and the sole domain of states is now tiny, affordable, and in our pockets. USGS’s Landsat satellites, for example, have been using a similar digital imaging technique to analyze the Earth’s surface from space for decades. The technology behind hyperspectral technology isn’t new. The result? Point a handheld computing device at an object and learn its composition. “The optical element acts as a tunable filter and the software-an image fusion library-would support this new component and extract all the relevant information from the image,” said Professor Mendlovic. Software then creates a spectral map and compares it to a database of spectral “fingerprints” associated with substances. The component is a kind of miniature filter that would allow smartphone cameras to take hyperspectral images that record the spectrum of light present in every pixel of the image. While a number devices in recent years have inspired similar comparisons, maybe this one is a little closer.Ĭreated by TAU engineering professor, David Mendlovic, and doctoral student, Ariel Raz, the technology is an intimate combination of innovative hardware and software. The former, a microelectromechanical ( MEMS) optical component, is mass producible and compatible with existing smartphone cameras. “The tricorder is no longer science fiction,” a recent Tel Aviv University (TAU) article declared. What if you could also learn exactly what chemical components were present in any object? A new invention out of Israel aims to enable just that. Meanwhile, it is demonstrated that when the temperature is 543.15K, the interfacial bonding energy of the bushing is the maximum, and the interfacial bonding performance is the optimal.Our smartphones can do a lot-compute, pin down our location, sense motion and orientation, send and receive wireless signals, take photographs and video. Therefore, the three-layer structure bushing has better bonding performance and is less likely to be destroyed in engineering practice. The simulation results show that the minimum interfacial bonding energy of the three-layer material is 39.92% higher than that of the two-layer material. At the same time, the bonding energy between the adjacent alloy interfaces of the structure with or without Sn layer was calculated and analyzed, the formula for calculating the interface bonding energy of multi-layered alloy materials is put forward, and the basis for judging the dangerous interface is given. The interfacial bonding energy of steel and Babbitt alloy with or without Sn layer was calculated under the same conditions.
Chemical composition materials studio software#
In order to explore the interfacial bonding properties of multi-layered metal composites in depth, using ZChSnSb8-4 alloy as research object, instead of atomic substitution modeling, taking into consideration of the content ratios of Cu 6Sn 5, SnSb and Sn in the alloy, crystal structure modeling using material composition method was built with molecular dynamics simulation software of Materials Studio, the bonding properties of the interface between steel body and Babbitt alloy with or without Sn layer were simulated and analyzed respectively.