Dismayed by the shortage of engineering graduates who had much—if any—exposure to motion control or fluid power in school, Parker Hannifin decided to take matters into its own hands. Over the past decade, the company has donated nearly $1 million to engineering schools to fill that void. "In the past, we could hire a business major with a high mechanical aptitude for a sales position. Today, we need engineers who are trained to solve problems and are technically knowledgeable in what we call the tri-technologies: electrohydraulics, electromechanical technology, and electropneumatics," says Larry Schrader, global motion and control training manager for Parker. To date, Parker has given funds to nine engineering schools to establish programs and laboratories in the tri-technologies. The schools, which include Purdue and the University of Illinois, are selected on the basis of their willingness and ability to make a long-term commitment to the program. To date, Parker estimates that hundreds of students have benefited. So, presumably, has industry.
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.