I can't tell you how many times the Sherlock Ohms cases involve some oddbird activities that affect a nearby process. Let us know your stories about weird performance oddities that took some investigation to solve. Send your Sherlock cases to Rob.spiegel@UBM.com.
It is always interesting to see how things that are assumed to not have any influence do have an influence. The CMM does wind up being a very sensitive device, and probably should contain an internal accelerometer to warn a user about machine vibration.
We had a similiar seismic problem with our visual grinders at our plant in York, PA. It turns out there was a surprisingly well-kept secret that much of the city was tunneled-under by a limestone rock quarry 400 feet down. The local toolmakers all knew about it from the ruined work pieces whenever the blasting below shook the ground like a semi-trailer truck or train going-by at a critical finish grind, but there was no highway or train track close enough to explain it.
I always thought it was strange that such a major operation was virtually unknown by most of the general public.
Had similar problems with (video) CMMs in the past. A nice indicator and a good excuse ;) is a cup of black coffee. The reflections of the room light at the black surface make a quite sensitive indicator to seismic problems.
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.