Photoelectric Retro-Reflective Sensor WL9-3N2462 IP66 IP67 IP69K Rated 1,000 Hz Switching Frequency SICK
The Photoelectric Retro-Reflective Sensor WL9-3N2462 is designed for precise object detection in industrial automation.
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- Functional principle: Photoelectric retro-reflective sensor
- Sensing range: 0 m to 0.3 m without reflector
- Light source: PinPoint LED, 650 nm wavelength
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 30 mA
- Switching output: NPN, complementary function
- Switching mode: Light/dark switching
- Output current max: ≤ 100 mA
- Response time: < 0.5 ms
- Switching frequency: 1,000 Hz
- Connection type: Male M12, 4-pin connector
- Protection class: III
- Housing material: Plastic VISTAL®
- Optics material: Plastic PMMA
- Enclosure rating: IP66, IP67, IP69K
- Operating temperature: -40°C to +60°C
- Storage temperature: -40°C to +75°C
- Weight: 13 g
- Polarizing filter included
- Dimensions (H x L x W): 52.2mm x 23.6mm x 12.2mm
- Weight: 0.1 kg
- Photoelectric retro-reflective sensor with focused optics
- Visible red light with PinPoint LED light source
- Single teach-in button for easy adjustment
- High switching frequency of 1,000 Hz
- Robust plastic housing with IP66, IP67, and IP69K protection ratings
- Wide ambient operating temperature range from -40°C to +60°C
- Polarizing filter included to reduce false triggering
- Installation by a qualified technician or electrician is recommended to ensure proper wiring and sensor alignment for optimal performance.
- Industrial automation for detecting small objects
- Material handling and packaging systems
- Quality control and inspection processes
- AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Energy-efficient LED light source reduces power consumption
- Durable design minimizes waste and replacement frequency
Standard manufacturer warranty applies; please refer to SICK's official warranty policy for details.
The SICK WL9-3N2462 Photoelectric Retro-Reflective Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
