What's growing faster, simulation software (FEA and CFD) or CAD? Research and analysis firm Daratech says it's simulation. "It's not just for experts and mathematicians anymore," says Daratech spokesman Tim Hickey. Engineers in every industry are seeing the benefits of cutting the number of prototypes they smash into walls to test for stress. Simulation helps by letting them smash the designs on the computer. That democratization of simulation has led to a brisk business for companies that teach FEA and CFD or, like Daratech, build conferences around it. In June, Daratech held a simulation conference that centered on the automotive industry and drew 260 participants—30 more than the same conference the previous year. On November 3, Daratech will kick off its aerospace and defense simulation conference in Anaheim's Disney Paradise Pier Hotel and organizers are expecting a similarly robust crowd. Among the session topics: Digital product simulation, as well as high-performance compacting for engineering modeling & simulation, analysis, and test & measurement. Presenters include representatives from MSC.Software, ANSYS, Abaqus, Hewlett-Packard, Silicon Graphics, EDS PLM Solutions, Engineous, and Synops, among others.
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.