Turck Capacitive Threaded Barrel Proximity Sensor, M30, 15 mm Detection, PNP NO+NC, 10 → 65 V dc

Turck Banner BC series capacitive sensors with a cylindrical plastic threaded body feature high switching distances. Sensors are available in M12, M18 or M30 with a connection cable or an M12x1 male connector.

Excellent reliability
Automatic wetting compensation
Excellent EMC properties
ESD immunity
Mounting flexibility

This proximity sensor from Turck offers precise and reliable detection capabilities essential for various industries. The sensor, housed in ABS plastic, boasts an IP67 rating, ensuring durability in various environments. With a detection range of 15mm and a switching current of 200mA, this sensor provides accurate results in demanding applications.

• Barrel-style sensor with capacitive technology for non-contact detection of metal and non-metal objects
• PNP output type for efficient signal transmission
• Short circuit overload protection enhances safety and longevity
• ABS plastic housing with IP67 rating ensures reliable performance in harsh conditions
• M30 x 1.5 thread sise for easy installation
• High-traffic sensing capabilities with a maximum DC voltage of 65V
• Switching frequency of ≤100Hz for responsive operation

• Ideal for metal and non-metal object detection in industrial automation systems
• Suitable for use in conveyor belts, packaging machinery, and robotic applications
• Efficient for material handling equipment and automotive manufacturing processes

Yes, it is designed with an IP67 rating and ABS plastic housing for durability in challenging conditions.

The sensor utilises capacitive technology to detect a wide range of objects, including both metal and non-metal materials.

With an M30 x 1.5 thread sise, the sensor can be easily integrated into existing systems for quick setup and implementation.

Yes, the sensor is equipped with short circuit overload protection for enhanced safety and longevity.

Yes, its high switching frequency makes it suitable for applications with high traffic flow.

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