Optical Fork Sensor WF50-40B410 | IP65 Rated | 10 kHz Switching Frequency | 0.2 mm Detection | by SICK
The Optical Fork Sensor WF50-40B410 is designed for precise object detection in industrial automation, featuring a high switching frequency of 10 kHz and a minimum detectable object size of just 0.2 mm. With an IP65 rated enclosure, it ensures reliable performance in challenging environments, making it ideal for label detection and precision measurement applications.
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 40 mA
- Switching frequency: 10 kHz
- Response time: ≤ 100 µs
- Output: PNP/NPN light/dark switching
- Protection rating: IP65
- Housing material: Aluminum
- Connection: Male M8, 4-pin connector
- Ambient operating temperature: -20 °C to +60 °C
- Minimum detectable object: 0.2 mm
- Safety parameters: MTTFD 97 years, DCavg 0%
- Dimensions (H x L x W): 80mm x 57mm x 10mm
- Weight: 0.1 kg
- Optical detection principle with LED infrared light source
- Fork width of 50 mm and fork depth of 42 mm
- Minimum detectable object size of 0.2 mm
- Light/dark switching output selectable via button
- High switching frequency of 10 kHz and fast response time ≤ 100 µs
- IP65 rated enclosure for protection against dust and water
- Reverse polarity and short-circuit protected circuitry
- Installation should be performed by qualified personnel familiar with electrical and optical sensor systems to ensure proper setup and safety compliance.
- Industrial automation for object detection
- Label detection in packaging lines
- Precision measurement in manufacturing processes
- Complies with AS/NZS 60950 – Safety of IT and Communication Equipment
- Low power consumption with 40 mA current draw
- Durable aluminum housing extends product life reducing waste
- Complies with China-RoHS for reduced hazardous substances
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK WF50-40B410 Optical Fork Sensor is available for immediate purchase, ideal for industrial automation and precise object detection applications.
