NEi Software took its first step towards embracing cloud technology with the announcement this week of a new mobile FEA application that displays results on the iPhone or iPad.
NEi Stratus, to be released in the beginning of the second fiscal quarter and initially offered at no charge, is displaying the software to showcase new, innovative methods for delivering FEA solutions. Company officials explained the new venture as an opportunity to combine cloud technology with the power of NEi Nastran solvers, providing engineers with the ability to perform basic FEA analysis and review the results on their mobile devices any where and at any time. The iPhone and iPad applications are just the initial exploration of what a mobile platform and cloud technology can deliver, NEi Software officials say, adding that the combination will allow for more complex analysis as the technology matures.
"As innovators in CAE, NEi Software recognized two rapidly advancing technologies that have great potential within the CAE industry--mobile applications and cloud computing," said Mitch Muncy, manager of presales and technical support for NEi Software, in a prepared release. "NEi Stratus leverages these technologies to give engineers on-demand Nastran-based analysis."
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.