Positron Systems has a nondestructive testing technology that detects component fatigue and embrittlement at the atomic level. The patented technology—Photon Induced Positron Annihilation (PIPA)—detects early fatigue and embrittlement in materials before cracks appear. The technology also assesses the remaining useful life of metallic, composite, and polymer materials. This nondestructive testing is said to help companies prevent component failure due to fatigue cracks and safely extend the service life of expensive and critical parts, such as turbine blades, engines, wing spars, landing gear, fuselages, automotive axles, high performance engine parts (i.e. valve springs, pistons), wheels, and transmissions. The PIPA process involves penetrating materials with a photon beam generated by a linear accelerator. This process creates positrons, which are attracted to nano-sized defects in the material. Eventually, the positrons collide with electrons in the material and are annihilated releasing energy in the form of gamma rays. The gamma ray energy spectrum creates a distinct and readable signature of the size, quantity, and type of defects present in the material. The technology was invented by scientists at the U.S. Department of Energy's Idaho National Engineering and Environmental Laboratory and licensed to Positron Systems for commercial use. For more information, call Positron Systems at 208-672-1923, ext. 203 or go to www.positronsystems.
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.