Avoiding mistakes when sizing pneumatic rodless actuators is the result of first-hand knowledge gained through applications experience with rodless cylinders.
Tol-O-Matic, as a company, actively tracks the most common mistakes that their customers encounter when sizing rodless linear actuators. This technical paper focuses on pneumatic rodless cylinders (specifically band type) and is the first in a series of topics on the sizing and selection of rodless linear actuators/cylinders.
Here is the list of most common mistakes that engineers make when sizing rodless actuators.
Overestimating the available air pressure
Incorrectly determining the actuator's working stroke and overall length
Under or over sizing the cylinder
Not considering the effects of resulting moments (torques)
Overlooking the effects of dynamic moment loading
Not understanding the importance between average and impact velocity
Incorrectly determining the cushion or shock absorber capacity
Not factoring in the effects of motion lag due to breakaway, acceleration and friction forces.
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.