SICK Energetic Photoelectric Sensor, Rectangular Sensor, 115 mm Detection Range

View all Photoelectric Sensors

Subtotal (1 unit)*

£122.98

(exc. VAT)

£147.58

(inc. VAT)

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RS Stock No.:
285-2466
Mfr. Part No.:
WT2F-N180
Brand:
SICK
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Brand

SICK

Sensor Style

Rectangular

Detection Type

Energetic

Detection Range

115 mm

Output Type

NPN

Electrical Connection

2 m, 3-wire, Cable

Switching Mode

Light Switching

Maximum DC Voltage

24V

Terminal Type

2 m, 3-wire, Cable

Light Source

Visible Red

IP Rating

IP67

Maximum Current

50 mA

Response Time

0.5 ms

Mounting Type

Panel Mount

Housing Material

Plastic

Minimum Operating Temperature

-20°C

Series

WT2F

Maximum Operating Temperature

+55°C

Standards Met

CE

COO (Country of Origin):
JP

Overview


Miniature photoelectric sensors of the W2 product family combine precise object detection with high operational safety. The powerful optics of the W2 feature an outstanding size-to-sensing range ratio. This means it can even detect jet-black objects precisely.

The miniature photoelectric sensors are available in either slim or flat housings versions and, thanks to their very small design, can be integrated easily and compactly even in systems that are difficult to access.

At a glance


High switching point accuracy and excellent size-sensing range ratio
Very small sensor housing: available either as W2 Slim or W2 Flat
Very visible, uniform light spot thanks to PinPoint LED
Configuration options via IO-Link technology

Your Benefit


High precision during object detection even with jet-black objects
Space-saving integration in miniature systems and very tight installation spaces
Quick and easy alignment, commissioning and monitoring
High level of flexibility thanks to diverse mounting and application options

Applications


Factory automation
Print: Leading edge detection and presence checking
Automotive and parts suppliers: Type check and inspection for body parts
Handling and assembly technology: Flexible material flow monitoring
Rubber and plastics: Detecting parts in the

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