Thanks for the input, Naperlou, and I think this will be a really worthwhile show. I'm curious: What's your sense on why this type of discipline hasn't caught on with commercial products and less complex systems? What is your view on the challenges? Any one else care to wade in?
Beth, I am looking forward to the broadcast. Systems engineeing is much more than tracking the engineering products through the process. That is useful, and a good development. There have been tools in the past that were targeted to the systems engineer, and for systems with a large software component they have been around for some time. Systems engineering is about defining the components of a system and their interfaces. Then, once that is done, one must model the proposed system to determine if it makes sense. This may have to be done iteratively until some critical factor has been optimized. Most organizations do not do this. Systems engineering is generally only done for large, complex systems, typically. I am talking about military and space types of programs. If this type of discipline can be brought to more commercial products, I think we will all benefit.
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.