When faculty member Leo Castagno of Brigham Young University discovered that many engineering students could write a program in C++ but couldn't tell the difference between a screw and a bolt, he wasn't exactly surprised. "In the traditional engineering curriculum, fasteners are covered in a single class," he says. "But I will tell you that there is a lot more to the technology than a person could possibly imagine." A former engineer and welder himself, Castagno's primary goal is to expose students to more than just pitches and thread counts. So he is expanding a process class that he teaches from just the basics of welding and chip cutting to include joining processes—in a very real-world kind of way. "This isn't a spectator sport, you know," he stresses. "I want to expose students to as many different kinds of fasteners as I can get my hands on." For starters, Penn Engineering has contributed a variety of fasteners to the school, free-of-charge. The idea is for students to gain some hands-on experience with them. Castagno is thrilled. But just in case some students may be contemplating not having to hit any books for the class, he says that the final exam will include at least some theory.
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.