Using the recent Costa Concordia disaster, framed up against the lessons learned from the infamous Titantic disaster, is a perfect "teachable moment" for proving out the importance of failure analysis as part of upfront design. I would hope the takeaway from Professor Petroski's thoughtful post is that failure analysis needs to be a proactive part of the principal design process, not simply an after-the-fact exercise that comes on the heels of any kind of related disaster or product failure. On the upside, I would think the flurry of more accessible CAE and simulation tools can greatly aid engineers in this very important exercise.
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.