Engineers like Excel for the simplicity in doing quick calculations and developing spreadsheets. But forget about it when it comes to managing those calculations or gaining any insight behind the numbers—two tasks that the software application Mathcad does very well, though its learning curve is somewhat steeper. But that ability to capture the thinking process of engineers is becoming increasingly important to some companies who are looking for ways to capture the engineering calculations in large projects and document the inputs, assumptions, and methods behind them, says Allen Razdow, senior vice president of products and services and cofounder of Mathsoft. "Companies are beginning to realize that a calculation is not an island, and that it's important to know where a number came from and what thinking went into it." To wit, his company just landed a major contract with Lockheed Martin, who is adopting Mathcad as a standard design tool for all structural calculations for the F-35 Joint Strike Fighter Project, the largest military contract in history. With a budget of $4B, there's bound to be plenty of number crunching. New features of Mathcad, such as the ability to deploy content over a web browser, is bound to make that process a bit more manageable.
A new service lets engineers and orthopedic surgeons design and 3D print highly accurate, patient-specific, orthopedic medical implants made of metal -- without owning a 3D printer. Using free, downloadable software, users can import ASCII and binary .STL files, design the implant, and send an encrypted design file to a third-party manufacturer.
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.