Generating mathematical equations is a common pain point among engineers, who often complain that they don’t have the time or the comfort level to create their own calculations. Knovel, a provider of online technical information, has released a tool designed to help Mathcad users over this hurdle, delivering easy access to sophisticated math equations.
Knovel Math, announced in partnership with PTC and available as a Web-based service, provides fully documented and validated Mathcad worksheets of engineering calculations from trusted reference sources and delivers them directly into the Mathcad environment. Users enter their own custom values into the worksheet to calculate their solution, but they avoid having to invest hours to generate the equations on their own or transcribing equations between environments, which is also time consuming and error prone. “It’s a huge time saver for people and a productivity booster,” says Knovel President and CEO Chris Forbes. “Engineers can tap a complex set of differential equations, click on one and have it automatically flow into the solver where they had a blank page. Before, that action might have taken six to eight hours.”
Knovel Math, which is compatible with Mathcad 14, also delivers powerful search tools, storage of worksheets and findings for audit trail reference along with support for U.S. customary and metric units.
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From Dell / Intel® New Paradigms in Design Work Scott Hamilton, vertical market strategist for Dell Precision workstations, 5/2/2013 5
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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 radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.
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