Optical Fork Sensor Infrared Detection IP65 Rated Variant-8 SICK
The Optical Fork Sensor WF5-60B41CA00 features advanced infrared detection with a high switching frequency of 15 kHz
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Switching frequency: 15 kHz
- Response time: ≤ 46 µs
- Switching output: Push-pull PNP/NPN, max 100 mA
- Teach-in modes: 1-point, 2-point, dynamic
- Enclosure rating: IP65
- Connection: Male M8, 4-pin connector
- Ambient operating temperature: -20 °C to +60 °C
- Ambient storage temperature: -30 °C to +80 °C
- Shock load: According to EN 60068-2-27
- Protection class: III
- Cycle time: 2.3 ms
- Output function: Light/dark switching selectable via button
- Dimensions (H x L x W): 35mm x 74mm x 10mm
- Weight: 0.1 kg
- Optical detection principle with infrared LED light source
- Fork width of 5 mm and fork depth of 59 mm
- Minimum detectable object size of 0.2 mm
- Multiple teach-in modes including 1-point, 2-point, and dynamic
- Selectable light/dark switching output function
- High switching frequency of 15 kHz and fast response time ≤ 46 µs
- Push-pull PNP/NPN switching output with max 100 mA output current
- IP65 rated aluminum housing for robust industrial use
- Equipped with IO-Link V1.1 for advanced communication and configuration
- Reverse polarity and short-circuit protected outputs
- Installation by a qualified technician or electrician is recommended to ensure proper connection and configuration, especially for IO-Link integration.
- Industrial automation for object detection
- Label detection in manufacturing processes
- Precision measurement in production lines
- AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Energy-efficient LED light source reduces power consumption
- Durable aluminum housing extends product lifespan, reducing waste
Standard manufacturer warranty applies; please refer to SICK for detailed warranty terms.
The SICK WF5-60B41CA00 Optical Fork Sensor is available for immediate purchase, ideal for industrial automation and precise object detection applications.
