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.
BMW has already incorporated more than 10,000 3D-printed parts in the Rolls-Royce Phantom and intends to expand the use of 3D printing in its cars even more in the future. Meanwhile, Daimler has started using additive manufacturing for producing spare parts in Mercedes-Benz Trucks.
Researchers have been developing a number of nano- and micro-scale technologies that can be used for implantable medical technology for the treatment of disease, diagnostics, prevention, and other health-related applications.
SABIC's lightweighting polycarbonate glazing materials have appeared for the first time in a production car: the rear quarter window of Toyota's special edition 86 GRMN sports car, where they're saving 50% of its weight compared to conventional glass.
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