It can actually be traced to less than a decade ago. This time frame though was the start of when the accuracy levels were starting to improve.
I know that our company once looked at the possibility of implementing an automatic solution for one of our tests, the problem is there was nothing accurate enough to allow us to achieve the resolution we needed. Now with the accuracy bar being lowered, pun intended, I think it might be time for us to revisit our initial designs.
Beth: One of the big differences is the linear motor's positioining accuracy. The numbers vary pretty widely, but several of the linear motor makers I talked to said they could resolve their accuracy down to the low-micron level. Some even claim to get it into the nanometer level. That's a far cry from what we saw in linear motors a decade ago.
Nice to see progress being made in terms of energy efficiency. Beyond their so-called "green" aspects, does this new crop of linear motor technology offer any other advances compared to traditional offerings?
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
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.