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Sick WFM50-60N321 Fork Sensor

The WFM50-60N321 is a Sick Fork Sensor with 50 mm fork width and 2 mm label gap detection capability. This Sick Fork Sensor operates on the optical detection principle with 60 mm fork depth, NPN switching output, light/dark switching mode, 100 mA output current, M8 3-pin connector, aluminum housing, and integrated reverse polarity and short-circuit protection.

BrandSick
Product TypeFork Sensor
Model NumberWFM50-60N321

Sick WFM50-60N321 Fork Sensor – Technical Specifications

SpecificationValue
Dimensions (W x H x D)10 mm x 70 mm x 77.5 mm
Fork width50 mm
Fork depth60 mm
Minimum detectable object (MDO)Gap between Labels / Size of labels: 2 mm 1)
AdjustmentNone
Switching outputNPN
Switching output (voltage)PNP: HIGH = VS – ≀ 1.5 V / LOW = 0 VNPN: HIGH = approx. VS / LOW ≀ 1.5 V
Switching modeLight/dark switching
Output current Imax.100 mA
Connection typeConnector M8, 3-pin
Circuit protectionUV connections, reverse polarity protectedOutput Q short-circuit protectedInterference pulse suppression
WeightApprox. 36 g
Housing materialAluminum
Functional principleOptical detection principle

WFM50-60N321 Sick Fork Sensor is designed for accurate gap and object detection in industrial automation systems. The Sick WFM50-60N321 Fork Sensor features 50 mm fork width, 60 mm fork depth, 2 mm label gap detection, and NPN switching output with selectable light/dark switching mode. With 100 mA maximum output current and optical detection principle, it supports stable sensing performance in automated processes.

In conveyor lines, packaging equipment, labeling machines, and assembly systems, the WFM50-60N321 Sick Fork Sensor ensures reliable detection of small gaps and passing components. The M8 3-pin connector simplifies electrical integration, while reverse polarity protection, short-circuit protection, and interference pulse suppression enhance operational consistency.

The Sick WFM50-60N321 Fork Sensor combines defined switching characteristics with durable aluminum housing for industrial installations. This Sick Fork Sensor model is suitable for continuous use in manufacturing environments requiring repeatable and accurate optical detection.

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