Thanks, Nadine. Actually, it's more than visual resemblance: with different material properties in different parts of the model that more closely resemble the product, the model does a better job of simulating form, fit and especially function.
"Digital materials" is Objet's term. As Bradshaw is quoted as saying, they are combined digitally, meaning via computer--preprogrammed--during printing, versus making parts of a prototype separately, and mechanically combining them after printing. The point is that engineers can program the printer to print different material property combinations in different parts of the model, as Objet describes on the page at the link we gave in the article.
Objet has really done a great job pushing a variety of materials for their 3D printers, thus upping the utility of how they can be used. My question is what exactly makes a material "digital"? I get the ability to mix and tune the properties so that they can mimic more traditional materials. But how is that done in a digital fashion? Is there some sort of software algorithm that handles the finetuned mixing or is it a property in the material itself?
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.