Kenji Uchino is a professor of engineering at Penn State who developed a small ultrasonic piezoelectric motor that measures less than 2 mm in diameter and is approximately 4 mm long—about the size of a grain of rice. And unlike piezoelectric motors made with tubes of piezoelectric materials, Uchino's motor is made from aluminum, stainless steel, plastic, and brass tubes. Applications for the motor include medical instruments that are disposable and other devices that have small diameters. Because the motor is non-magnetic, its applications include surgical procedures performed with magnetic resonance imaging. Potential non-medical applications include appliances, computers, and wristwatches. "The inside of a wristwatch is filled with gears because tiny electromagnetic motors spin too fast to directly operate a watch," says Uchino. His motor rotates slower, so watches enabled by his motor could be mechanically simpler, he claims. For more information, send e-mail to 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.
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.