I find the model prep use case particularly interesting. That's definitely been a sticky point in curtailing more widespread use of simulation across all stages of the design cycle and while SpaceClaim has been talking this up for some time, many of the other CAD makers are following suit.
I wouldn't read too much into it. Ultimately, a name is just a name, and we came up with that name in 2003!
A few customers have told me that they do manage work across design teams in SpaceClaim, often negotiating key interfaces and volumes in design review meetings. That said, in the earilest days, before we ever wrote a line of code, we were thinking a lot more on concept modeling and top-down design. Although concept modeling is still our #1 use case, we are doing a lot more, like model prep for manufacturing, CAE, and IP protection.
Thanks Blake. I definitely couldn't have answered that one. How does that designation of particular spaces for different folks involved on designing an assembly factor into the value proposition around the SpaceClaim product? Full disclosure folks: Blake is a co-founder of SpaceClaim.
The name comes from a term sometimes used when doing top-down design. If you are working on an assembly that will be designed by several people, it often makes sense to designate different "space claims" for different team members. I've mostly heard the term used in the automotive and heavy transportation industires.
Beth, I have always thought of the name SpaceClaim as a bit wierd. On the other hand, their products are very good and offer some unique capabilities. The trend toward letting less specialized users take advantage of the appropriate capabilities is a good one.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.