SICK Fork Sensor Photoelectric Sensor, Fork Sensor

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£350.65

(exc. VAT)

£420.78

(inc. VAT)

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RS Stock No.:
267-2216
Mfr. Part No.:
WF120-95B410
Brand:
SICK
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Brand

SICK

Product Type

Photoelectric Sensor

Sensor Style

Fork

Detection Type

Fork Sensor

Output Type

PNP/NPN

Terminal Type

4-Pin

Interface Type

IO-Link

Maximum DC Voltage

30V dc

Light Source

LED

IP Rating

IP65

Minimum Operating Temperature

-20°C

Maximum Current

100mA

Maximum Operating Temperature

60°C

Response Time

100μs

Standards/Approvals

CE, cULus

Mount Type

Panel Mount

Series

WF

Hazardous Area Certification

No

Housing Material

Aluminium, Metal

Detection Range

120 mm

COO (Country of Origin):
FR

Overview


Next fork sensors are at work in the detection of labels, marks, double sheets, holes, edges, and various objects. Thanks to the design principle that sees both the sender and receiver integrated in a single housing, no adjustment is necessary. This easy-to use sensor line includes fork widths between 2 mm and 120 mm with fork depths of 40 mm, 60 mm, and 95 mm.

Extremely fast response times and fine resolution means that Next fork sensors from SICK can even detect small and flat objects as well as those traveling at high speeds.

At a glance


Infrared light source

Simple and precise setting of the switching threshold via IO-Link, teach-in button, or plus/minus buttons

Fast response time: 100 μs

PNP and NPN switching output

Light/dark switching function

Stable aluminium housing with IP 65 enclosure rating

Smart sensor with integrated IO-Link interface

Your Benefit


Fast response time and fine resolution ensure reliable detection even at very high object speeds

Infrared light source provides excellent ambient light immunity

User-friendly setting via IO-Link, teach-in button, or plus/minus buttons

A wide range of different fork sizes enables flexible installation

Stable aluminium housing for use in harsh industrial environments

Thanks to IO-Link or external teach-in, the switching threshold can be adapted while the process is running, increasing process

reliability

Easy to access data from the PLC via IO-Link

Applications


Detecting edges, holes, and objects in production processes at high speeds

Monitoring the presence of different objects

Detecting opaque labels

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