NASA engineers in Ohio were moving forward with an oil-free turbine engine, an advanced research program that replaces ball bearings and oil with foil bearings, air, and coatings. But they've been hit by a double whammy that raises questions about the technology's future. First, much of NASA's funding is being diverted to the Columbia investigation. Second, researchers were developing the technology for use as a jet engine, and arrangements with aircraft manufacturers have disappeared given that industry's gruesome finances. Researchers at the Glenn Research Center in Cleveland now face the daunting task of seeking money from a Congress distracted by Iraq or from another industry that needs a large turbine. The oil-free bearing technology has many potential benefits. Air won't burn like oil, so the turbine can run at up to 650C without cooling. There's no chance that air can leak away or get dirty like oil. Additionally, it doesn't require plumbing or pumps. A 50-passenger jet could save 8% in acquisition and fuel costs.
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.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.