Photoelectric Retro-Reflective Sensor Detects Transparent Objects IP66 IP67 IP69K Rated SICK
The SICK WL9G-3P1132P10 Photoelectric Retro-Reflective Sensor excels in detecting transparent objects, making it ideal for industrial automation applications.
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Switching output: PNP complementary
- Switching mode: Light/dark switching
- Output current max: ≤ 100 mA
- Response time: < 0.5 ms
- Switching frequency: 1,000 Hz
- Connection: 4-wire cable, 2 m length, PVC material
- 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
- Includes reflector PL40 and mounting bracket BEF-WN-W9-2
- Dimensions (H x L x W): 50mm x 23.6mm x 12.2mm
- Weight: 0.1 kg
- Photoelectric retro-reflective sensor with autocollimation/coaxial optics
- Detects transparent objects effectively
- Visible red light with PinPoint LED at 650 nm wavelength
- Single teach-in button for easy adjustment
- AutoAdapt feature for optimized sensing
- High switching frequency of 1,000 Hz and response time under 0.5 ms
- Robust plastic housing with IP66, IP67, IP69K protection ratings
- Polarizing filter included to reduce false triggers
- Wide operating temperature range from -40°C to +60°C
- Installation by a qualified electrician or technician is recommended to ensure proper wiring and sensor alignment.
- Industrial automation for object detection
- Detecting transparent objects in manufacturing processes
- Use in harsh environments requiring IP66, IP67, IP69K protection
- 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 for specific warranty terms.
The SICK WL9G-3P1132P10 Photoelectric Retro-Reflective Sensor is available for immediate purchase, ideal for industrial automation and transparent object detection applications.
