January is the time when many companies preview some of the hottest new features coming out in the next version of their software. And SolidWorks World 2006 was no exception. CEO John McEleney wowed the crowd at his keynote address with a sneak peek at SolidWorks 2007. Due to ship this summer, the software's most significant new capability — gauged by audience reaction — is SWIFT (SolidWorks Intelligent Feature Technology). Though it's a built-in software help system, it promises to be nothing like Microsoft's scorned Clippy tool. Intended for those hairy situations — like when a model fails to regenerate and you can't figure out why without chasing down the resident Solidworks expert — SWIFT helps troubleshoot and fix the problem automatically. "We're basically trying to minimize the CAD overhead, so that the engineer can spend his time doing the creative stuff, instead of having to manually construct a fillet so it works," said McEleney. SWIFT also does things like a true tolerance stackup.
McEleney also promised 50 percent smaller file sizes in SolidWorks 2007 — though he was coy about exactly how engineers reduced the bloat. Even with memory on the cheap, engineers reacted positively to the news.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.