Bob Percell, president of CAMotion, wants to put motion control within the reach of manufacturing processes that involve repetitive operations, but don't need expensive robotics. The company is using software algorithms developed at the Georgia Institute of Technology as the foundation of a motion-control system that will help manufacturers reduce labor involved with routine-inspection and material-handling tasks. Two types of algorithms are used in the CAMotion software. The first is a vibration-control algorithm that plans the robotic-axis trajectory. By damping out vibration, it allows use of lighter and less-expensive components. A learning algorithm helps the equipment improve its own performance. "Once the machine makes the moves through about five iterations, it learns the open loop, gets more accurate, and reduces the dynamic error by a factor of ten," says Purcell. The software also combines machine vision, encoders, and accelerometers for helping the system know its own location relative to the work. Percell says that software combined with smaller components can reduce automation costs from 10 to 30% in many applications.
Last year at Hannover Fair, lots of people were talking about Industry 4.0. This is a concept that seems to have a different name in every region. I’ve been referring to it as the Industrial Internet of Things (IIoT), not to be confused with the plain old Internet of Things (IoT). Others refer to it as the Connected Industry, the smart factory concept, M2M, data extraction, and so on.
Some of the biggest self-assembled building blocks and structures made from engineered DNA have been developed by researchers at Harvard's Wyss Institute. The largest, a hexagonal prism, is one-tenth the size of an average bacterium.
Focus on Fundamentals consists of 45-minute on-line classes that cover a host of technologies. You learn without leaving the comfort of your desk. All classes are taught by subject-matter experts and all are archived. So if you can't attend live, attend at your convenience.