Researchers at the University of Duisburg-Essen in Germany
are investigating whether the load-life calculations for ball-screw actuators used routinely by engineers are applicable in machine designs that involve repetitive moves, short strokes, and quick thrust build-up over a fraction of revolution. "The equations were developed several decades ago when there were less sophisticated techniques available to determine the behavior of rolling elements and their impact on wear," says George Jaffe, Executive Vice President of Steinmeyer, Inc., a maker of ball screw actuators and motion systems. "Now we have the tools to develop more refined models that take into account things like the impact side loads, ball spacers, and various lubricants have on ball screw life." To support this effort, Steinmeyer is providing sample products and technical assistance to the research team. "Engineers can still use the existing equations, they just need to recognize that they're making a 'best estimate,'" says Jaffe.
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.