So what if you’re not a CAD operator or an analyst dedicated to crunching computational fluid dynamics (CFD) and thermal transfer simulations. Blue Ridge Numerics and CAD newcomer SpaceClaim Corp. are teaming up to enpower engineers to conduct design-driven flow and thermal trade-off studies without having to be CAD operators.
The goal of the partnership is to promote more CFD testing and simulations upfront in the design process in lieu of physical prototyping. Some engineers who know CFD don’t necessarily know CAD and how to create 3D models, which eliminates upfront CFD in the mainstream product design process. SpaceClaim, launched last April, targets engineers and designers not necessarily versed in parametric 3D CAD operations with a host of features and user interface gadgets that can deliver sophisticated modeling capabilities without knowledge of sophisticated commands.
Blue Ridge Numerics’ CFD audience is similar. While traditional CFD requires an extremely high-level skill set (a level of expertise that is rapidly diminishing, company officials say), Blue Ridge Numerics’ focus is putting CFD capabilities into the hands of the guys on the front lines who can make the most impact—typically the garden variety, multi-discipline engineer, says Jim Spann, the company’s vice president of marketing.
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.