Beth, this is where CAE codes make a big difference. It is possible to explore a large part of the design space in the computer. This gives the design team the ability find optimal, or near optimal, parameters for their rel-world testing.
Another interesting aspect is the cloud for CFD. These are highly parallel simulations that seem more amenable to massive parallel solutions. It is also interesting to see that this is a public cloud solution.
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.