BV, producer of the Phenom desktop scanning electron microscope, announces the
launch of a new software product, the Phenom
introduction of the Phenom Pro Suite the following four applications will be
available: Automated Image Mapping. The Automated Image Mapping
application enables users to automatically collect multiple images in a regular
grid from the Phenom desktop scanning electron microscope. The Automated Image
Mapping application software will create a larger field of view or a
high-resolution image map. Remote User Interface. Phenom Pro Suite's Remote User
Interface makes it possible to access the Phenom from a different location. You
can control the Phenom and all its common features, image your sample, take
images, and store them on a USB, network location or your local hard drive. 3D Roughness Reconstruction. With the 3D Roughness
Reconstruction application, it is possible to generate three-dimensional images
and sub micrometer roughness measurements. This fully automated application
will help to communicate imaging results and will extract and visualize data
normally hidden within a sample. Fibermetric. Fibermetric
automatically collects hundreds of data points to provide a solid statistical
analysis and size distribution of fiber and filter samples.
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.