Self-teach capacitive level sensors by Carlo Gavazzi

NewsSouth-East European INDUSTRIAL Мarket - issue 3/2006

Extending its self-learn / remote-teach technology to capacitive level sensors, Carlo Gavazzi has introduced a new sensor family primarily aimed at the plastics and rubber industries. New CA30 models are designed to ensure optimal sensing characteristics for detection of plastic granulate and recycled scrap plastic materials, thus ensuring that downstream mixers, dosing conveyors and dryers do not run empty.

Working with materials characterised by extremely low dielectric constant and a large air volume, these applications demand high reliability in setup alongside the ability to operate in high-temperatures with minimal risk of electrostatic discharges. Using their built-in self-learning technology, the new sensors adjust themselves automatically and dependably by calculating an ON/OFF switch-point based on a low dielectric reference. The user simply has to mount and wire the sensor: no further adjustments are needed.

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