Industrial sensors fit range of factory, logistics applications

Sick has launched four new sensor lines for harsh industrial environments: AT20 line array, MPS and MXT8 magnetic cylinder, low-cost photoelectric, and WFL laser fork sensors.

By Control Engineering Staff June 11, 2009

Minneapolis, MN— Sick, a manufacturer of sensors, safety systems, machine vision, and automatic identification products for factory and logistics automation, has launched four new sensor lines designed to handle harsh industrial environments.

Line array sensors in the new AT20 series, for example, have a diffuse mode, which makes them ideal for environments where dirt and dust can interfere with retro-reflective sensors. The AT20’s resolution and simple setup make them appropriate for glue-bead diameter applications and web guide applications in the printing and packaging markets.

The MPS (magnetic positioning sensor) with analog output is for measuring pneumatic cylinders and grippers. According to the company, it provides the industry’s fastest sampling rate, which accommodates applications on fast machines and increases efficiency.

Sick’s WFL laser fork sensors use Class I, low-power lasers to ensure their small light size (only 0.05 mm wide), which is useful for detecting small targets. In addition, the sensor’s laser light spot is visible to the human eye, which makes it easily visible during setup. High switching frequencies of 10 kHz sensor ensure reliable performance in high-speed operations. Applications for the WFL Laser Fork Sensors include label detection in the packaging and food & beverage markets, and the detection of needles in the medical/ pharmaceutical markets. Other applications include detecting transparent bottles, ensuring precise positioning of a robot arm, and detecting the position of a piston.

Sick’s new Z photoelectric sensors and next generation ELF photoelectric sensors are low-cost sensors that deliver added mounting flexibility.

Information on the full range of Sick sensors, safety systems, machine vision , and automatic identification products is available online.

– Edited by Renee Robbins , senior editor Control Engineering News Desk

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