If you find you're doing more computer simulation of your designs, you're in good company. Market research firm Daratech says that systems modeling is exploding, and will likely grow 14% over the next five years.
The reasons: the drive to cut costs by limiting physical prototypes, and shorten time to market.
Daratech says that companies such as General Motors, BMW, and Ford, among others, are making digital prototyping a priority. GM Powertrain's Vice President, Ned McClurg, says savings will come from faster design iterations, fewer physical prototypes, lower physical-test costs, and the use of less experimental material.
Leading software providers enabling digital prototyping, Daratech says, are MSC.Software, LMS International, Fluent Inc., ANSYS, and Altair Engineering, among others.
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.