Baumer's FKDK 14
contrast sensors are for print mark detection and are useful in packaging and
printing machines. Utilizing white light as the light source, the FKDK 14
series can detect print marks of all colors, even with slight contrast to the
background. Optimized for high throughput speed, the new contrast sensor
offers a response time down to 50 µ. This allows short throughput times to be
achieved. The contrast sensor is very compact and can be integrated into any
machine. The 2-point teach-in procedure can also be conducted during process.
The switching status is indicated with an LED, which is
visible through the transparent housing base of the contrast scanner.
The FKDK 14 is suited for applications in packaging and graphic
machinery. Providing a solution for print mark or printing plate detection, the
FKDK 14 diffuse contrast sensor combines short response time and a compact
housing with the white light source.
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.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
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.