"If you put lots of high-tech stuff on a soldier's helmet and the additional mass makes the helmet slide over the soldier's eyes when he dives into a fox hole, that's a problem," says Robert Playter, vice president of engineering at Boston Dynamics. "That's the kind of problem you want to uncover before the helmet makes its way to the battlefield." Boston Dynamics is developing software tools for virtual prototyping of next-generation soldier equipment that are part of Objective Force Warrior, the U.S. Army's new science and technology initiative to develop future soldier fighting systems. The company is using its Digital Biomechanics , which relies on robotic control and physics-based models, for providing human-simulation software that obeys the same laws of locomotion, balance, and loading as a person would in the physical world. Analysts at the Army's Soldier Systems Center in Natick, MA use Digital Biomechanics to assess the impact of prototype designs on soldier performance before building physical mock-ups and testing with soldiers. Virtual prototyping reduces the design cycle. "Instead a design cycle of a year or more, the goal is to get things done in months or weeks," says Playter. Prototyping tools the company will deliver to the Army in upcoming months include physics-based simulation of soldiers performing war-fighting tasks. "We proved the concept, now we are developing the product." For more information, go to www.bdi.com.
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.