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.
Cost, product development rigor, the patient-as-a-user movement, and consumer electronics that include wireless connectivity are just a few hot topics swirling around medical devices. Each brings challenges that create innovation opportunities. If we briefly look at each one, we can see that one common need will be innovation in simplicity.
The supply chain will change significantly over the next 10 years as industry 4.0 technology enhances supply chain performance, according to the 2015 MHI Annual Industry Report, “Supply Chain Innovation — Making the impossible possible.”
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