One suggestion is fewer PR puff pieces where one lets salepeople tell all kinds of 'facts' that have little to do with reality and just doing better performance through advertising, rather than actual improvements.
Demand more numbers, specs and decent comparisions and more process details as we are here to learn and need accurate data or just wasting time.
More detail the the chemical fields like syn fuels, changing H, C into HC's cosr effectively.
And most important is cost details as something is great at 1 price and not worth using at another.
Also compare likely competition. The were recycled plastic CF combo touted here compared it's propduct to virgin CF when it's natural competitor is FG filled plastic at far lower cost and more strength is an example of bad data we don't need.
@Naperlou: Thanks for the reminder about simulation's importance, but don't you worry. It is right up there on our coverage plan. As you can see by all the Indy car coverage and much of the military projects DN has been covering as of late, simulation is playing a much greater role in product development than ever before and the only indications are that it will grow in usage and importance, not shrink.
Richard, first, welcome. Design News has a lot of good content. One are that is important to many design shops is Computer Aided Engineering (CAE) or simulation tools. This is very much in line with the idea behind 3D printing. The ability to anaylze a part before producing it is a key to improved design effieiecny. There are many tools out there and many interesting applications of them. That might be a good extension to the coverage in Design News as these tools are used extensively with CAD tools.
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.