As a small company, and the chief technologist (old engineer) I like to gather all the known specifications from the client, make a few suggestions, have them consider some limitations or restrictions, and then push him/her to nail the specifications/requirements down a solidly as possible. Then I have something to work with that isn't a moving target.
Then I take out a blank sheet of paper (my favorite part) and start putting subassemblies together to see how it might just come together.
One of the issues in design is the question of when a "project" is started. Most of the responses you mention assume that the "customer" has a solid list of requirements. In projects involving mostly hardware that seems to be the case. The "customer" takes the time to figure out what they want. In the software world that is often not the case. There are various methods used to deal with this situation. I hear tell of them making their way into the engineering world. I am not sure that is a good thing.
Great question to pose and it will be interesting to hear the community's response. I'm also curious how much of that brainstorming and feedback is being transferred over to some of the newer collaboration technologies and Web-based platforms as opposed to happening in face-to-face meetings with pen and paper in hand. My guess is that since engineering teams no longer sit side by side in the same building, there needs to be some sort of forum for early ideation, and technology is certainly evolving to support that objective.
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.