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Leuze Presents Smart Sensors for Clean and Predictive Maintenance

With advanced Power PinPoint LED technology, these sensors enable quick and precise alignment.

  www.leuze.com
Leuze Presents Smart Sensors for Clean and Predictive Maintenance
The Sensor People from Leuze are launching two new series with sensors in stainless-steel housings: Series 33C in hygienic design and Series 35C in robust wash-down design. They are suitable for hygiene-sensitive production and packaging processes.

Leuze presents the 33C and 35C sensor series with stainless-steel housings, ideal for hygiene-sensitive production and demanding industrial cleaning processes. With advanced Power PinPoint LED technology, these sensors enable quick and precise alignment.

Hygiene-sensitive production and packaging processes place high requirements on sensor technology. Devices must be robust, reliable and approved for direct food contact. With two new sensor series from Leuze in stainless-steel housings, manufacturers can play it safe: Thanks to its smooth housing with no mounting holes, Series 33C is particularly suitable for applications in the food, beverage or pharmaceutical industry – even in production areas with unpackaged products. The 35C series is designed for robustness. It is ideal for high mechanical loads and intensive cleaning processes. The 35C series sensors are versatile can be used in the food industry as well as the automotive industry or machine tools.

Solutions for packaging processes
The two series each include diffuse, through-beam and retro-reflective photoelectric sensors. The 33C and 35C series range also includes special solutions for packaging processes. These include retro-reflective photoelectric sensors for glass and PET detection, sensors with background suppression for detecting small objects, dynamic reference sensors, and powerful through-beam photoelectric sensors for penetrating through plastic films. The new 33C and 35C series’ small housing size complements the 53C and 55C series’ stainless-steel miniature sensors.

Leuze Presents Smart Sensors for Clean and Predictive Maintenance
The requirements for sensors installed above open foodstuffs are very high. Only components authorized for contact with food may be used. The 35C series’ DRT35C dynamic reference diffuse sensor with its stainless-steel housing is the ideal choice for this. The sensor system does not need to be additionally enclosed.

Quickly up and running with Power PinPoint LED
The new 33C and 35C series from Leuze offer sensors with Power PinPoint LED for the first time. This light technology means the sensors can be aligned and set up quickly and easily. This is achieved thanks to a bright, round and homogeneous light spot. The size, shape and homogeneity of the light spot remain constant throughout the entire working range. Laser or infrared devices can also be used as an alternative to the Power PinPoint LED.

Completely sealed
In harsh environments it is often necessary to protect plastic bodied sensors with complex, specially manufactured and costly stainless-steel protective covers. Only then can they withstand the high-pressure cleaning regimes. This is not necessary with the 33C and 35C series’ stainless-steel sensors hence this reduces the system’s complexity, lowers installation time and thus reduces costs. The devices are designed for reliable operation in wet areas and during intensive cleaning processes and have Protection Classes such as IP67, IP68 and IP69K as well as ECOLAB, CleanProof+ and Diversey certifications.

Leuze Presents Smart Sensors for Clean and Predictive Maintenance
The 33C series’ PRK33C.PPTT3 retro-reflective photoelectric sensor is suitable for detecting transparent bottles in an aseptic filling line. The hygienic design avoids any residue buildup thanks to its particularly smooth housing with no fixing holes. The sensor is also attached gas-tight using a mounting spigot.

Smart communication
Another advantage: Both series are equipped with IO-Link interface. This enables quick and easy configuration of the devices as well as diagnostic data that can be used to plan predictive maintenance.

www.leuze.com

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