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Optical Fork Sensor WF80-40B410 IP65 Rated 10 kHz Switching Frequency SICK

BRAND: SICK
SKU: 6028433
$764.60 List price: $961.10
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The Optical Fork Sensor WF80-40B410 is designed for precise object detection in industrial automation
Technical Specifications
  • Supply voltage: 10 V DC to 30 V DC
  • Current consumption: 40 mA
  • Switching frequency: 10 kHz
  • Response time: ≤ 100 µs
  • Switching output: PNP/NPN with light/dark switching
  • Output current max: 100 mA
  • Enclosure rating: IP65
  • Connection type: Male connector M8, 4-pin
  • Ambient operating temperature: -20 °C to +60 °C
  • Minimum detectable object: 0.2 mm
  • Fork width: 80 mm
  • Fork depth: 42 mm
  • Dimensions (H x L x W): 110mm x 57mm x 10mm
  • Weight: 0.1 kg
Key Features
  • Optical detection principle with LED infrared light source
  • Adjustable sensitivity and light/dark switching via plus/minus button
  • High switching frequency of 10 kHz with response time ≤ 100 µs
  • IP65 rated aluminum housing for robust industrial use
  • Supports PNP/NPN switching output with short-circuit and reverse polarity protection
  • Minimum detectable object size of 0.2 mm
  • Ambient operating temperature range from -20 °C to +60 °C
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
  • Label detection in packaging lines
  • Precision measurement in manufacturing processes
Standards & Compliance
  • Complies with AS/NZS 3000 – Wiring Rules (Electrical Installation)
Environmental Benefits
  • Energy-efficient LED infrared light source reduces power consumption
  • Durable aluminum housing extends product lifespan, reducing waste
Warranty Information

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

Available Now

The SICK WF80-40B410 Optical Fork Sensor is available for immediate purchase, ideal for industrial automation and precise object detection applications.