Nice slide show, Chuck. Many of these are not surprising, especially all of those involved in the space program. The one that really hits it out of the park is Mr. Bean. Come to think of it, he looks like an engineer. Plus, I gotta see The Unauthorized Life.
The first list was more interesting for me than this one. Growing up in the 80's, it was obvious that astronauts were engineers. For an older generation, it was obvious that astronauts started as air force pilots.
Lists are nice but analysis is always appreciated. Holding 80 patents is a clear application of engineering skills for Lonnie Johnson but did Schwarzkopf ever apply "engineering thinking" in his career?
Mr. Bean! Yes, he definitely has the look of an engineer, you're right, Rob. But I would think he would have historically acted a bit more clever considering his background. Thanks for another fun slideshow, Chuck!
Perhaps you could make a list of the most influential people in engineering who were not, in fact, engineers. I suggest that the list should start with Scott Adams (maybe the Wright borthers would be on it, too, and Chuck Yeager)
Bill Nye is another one that I didn't expect. Recently I saw a clip where he is bashing anyone who doesn't believe the religion of evolution. What happened to his education of not having preconceived notions but to test everything?
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.