SCHNAP Logo

Making Trade Life Easy!
Trade Discount 20%

Optical Fork Sensor WFM180-120N311 IP67 Rated 4 kHz Switching Frequency SICK

BRAND: SICK
SKU: 6037839
$714.00 List price: $897.50
+
The Optical Fork Sensor WFM180-120N311 is designed for precise object detection in industrial automation
Technical Specifications
  • Supply voltage: 10 V DC to 30 V DC
  • Current consumption: < 20 mA
  • Switching output: NPN with max output current 100 mA
  • Switching mode: Light switching
  • Response time: ≤ 125 µs with ± 15 µs stability
  • Initialization time: 140 ms
  • Enclosure rating: IP67
  • Connection type: Connector M8, 3-pin
  • Ambient operating temperature: -10 °C to +60 °C
  • Storage temperature: -40 °C to +80 °C
  • Shock load compliant with EN 60068-2-27
  • Protection class: III
  • Dimensions (H x L x W): 200mm x 142mm x 10mm
  • Weight: 0.14 kg
Key Features
  • Optical detection principle with LED red light source
  • Fork width of 180 mm and fork depth of 124 mm
  • Minimum detectable object size of 1 mm
  • High switching frequency of 4 kHz with response time ≤ 125 µs
  • IP67 rated enclosure for dust and water protection
  • Reverse polarity and short-circuit protected circuitry
Professional Installation Requirements
  • Installation by a qualified technician or electrician is recommended to ensure proper connection and compliance with safety standards.
Applications
  • Industrial automation for object detection
  • Safety and presence detection in manufacturing lines
  • Material handling and packaging systems
Standards & Compliance
  • Complies with AS/NZS 3000 – Wiring Rules (Electrical Installation)
Environmental Benefits
  • Low power consumption with supply voltage range of 10 V DC to 30 V DC
  • Durable aluminum housing extends product life reducing waste
Warranty Information

Standard manufacturer warranty applies; please refer to SICK for specific terms.

Available Now

The SICK WFM180-120N311 Optical Fork Sensor is available for immediate purchase, ideal for industrial automation and safety detection applications.