Scientists at Rensselaer Polytechnic Institute have found a way to grow aluminum nitride crystals large enough to slice into semiconductor substrates. The crystals can be used to make blue and ultraviolet lasers and light-emitting diodes (LEDs). "Semiconductor light sources have always been very attractive because of their ruggedness and economy," says Leo Schowalter, professor of physics at Rensselaer. "But the color of LEDs has been pretty much limited to red. Green and blue LEDs are also needed if we are to create traffic signals, automobile lighting, flat-screen TV sets, and other applications where long life and high efficiency are important." A Rensselaer researcher, Glen Slack, has demonstrated that you can grow aluminum nitride crystals in a tungsten crucible at 2,300C. However, at that temperature, the aluminum attacks the grain boundaries in the tungsten, and the crucible doesn't survive very long. Schowalter and Slack have now solved the problem and formed a company to make the aluminum nitride crystals. E-mail firstname.lastname@example.org.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.