In researching user productivity for a new version of Solid Edge, Unigraphics Solutions (UGS) analyzed computer system functionality. Studies revealed that users spend relatively little time waiting for their computers to process--but spend a great deal of time inputting information.
That finding led UGS developers to think about ways to improve the process through which people and computers communicate. The result: STREAM Technology, a new feature built into Solid Edge. This technology captures engineers' solid modeling design intentions through inference logic and decision-management concepts.
Inference logic intuitively predicts the next action a designer is likely to choose, reducing time spent searching different options. Decision management tools streamline problem solving, and process-specific features encompass modeling processes.
For example, open profiles infer closed volumes which are maintained as surrounding geometry changes. IntelliSketch can infer nine different types of geometric relationships solely from the position and movement of the cursor while drawing.
"Trying to differentiate mid-range CAD products based on feature/function arguments is difficult," says CAD industry consultant Evan Yares. "The best differentiator is productivity, which won't fundamentally improve until there is a breakthrough in user interaction that makes CAD easier to use. This is what Solid Edge is addressing with STREAM technology."
A new service lets engineers and orthopedic surgeons design and 3D print highly accurate, patient-specific, orthopedic medical implants made of metal -- without owning a 3D printer. Using free, downloadable software, users can import ASCII and binary .STL files, design the implant, and send an encrypted design file to a third-party manufacturer.
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.