Improving upon the world's first combination guideway and incremental encoder, Schneeberger's new Advanced Measuring System (AMS) achieves even higher levels of accuracy, economy, and reliability. A wear-resistant finish on the single-piece titanium scanning glider extends life, while new sensor-chip technology delivers high reliability and improves signal quality.
As the scanning glider or electronic read head slides along the rails' magnetic grating, sensor elements identify relatively small resistance changes and compensate for temperature-related signal changes. Signals are compatible with current NC control systems and technology, and an external electronic interpolation system (SME 100) is available for TTL input.
Optional distance coded reference marks provide exact position of moving axis. AMS is insensitive to oil, grease, and coolant contamination, and additional wipers are available for particularly dirty environments.
John Skaltsas, Schneeberger, (P), 11 DeAngelo Dr., Bedford, MA 01730; (781) 271-0140.
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.
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.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.