A patent recently issued to a major motor company has apparently created quite a stir among some of its competitors, who are scurrying to check for examples of prior art (previous inventions or designs). Though there appears to be nothing earth-shaking in the patent, clearly there is some dimension of it that troubles other motor makers. The simple answer is that there's a lot at stake here. Motors are a huge business, and companies may simply be scrambling to cover their bases. On the other hand, it's also true that patents increasingly have become a focus of competitive effort, proliferating in number and forcing companies to be more cautious about how they interpret them. That's particularly true in the motion control industry, where there are several examples of vigorous defense of patents. Most recently: Animatics' heavily publicized lawsuit against QuickSilver Controls for infringement against its patent for an integrated dc servo motor and controller. In January. The court ruled in favor of Animatics.
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.