Photoelectric Retro-Reflective Sensor WL9M4-3P1132 0-5m Sensing Range IP66 IP67 IP69K Rated SICK
The Photoelectric Retro-Reflective Sensor WL9M4-3P1132 is designed for precise object detection in industrial automation
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- Functional principle: Photoelectric retro-reflective sensor
- Sensing range: 0 m to 3 m without reflector, up to 5 m with reflector
- Light source: PinPoint LED, wavelength 650 nm
- Switching output: PNP complementary, max output current ≤ 100 mA
- Supply voltage: 10 V DC to 30 V DC with ripple < 5 V pp
- Response time: < 0.5 ms
- Switching frequency: 1,000 Hz
- Connection: 4-wire cable, 2 m length, PVC insulation
- Protection class: III
- Enclosure rating: IP66, IP67, IP69K
- Operating temperature: -40°C to +60°C
- Housing material: Plastic VISTAL®, optics material: Plastic PMMA
- Weight: 80 g
- Circuit protection: Types A, B, C
- 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
- Visible red light with PinPoint LED light source
- Single teach-in button for easy adjustment
- Polarizing filter included to reduce false triggering
- High switching frequency of 1,000 Hz and fast response time under 0.5 ms
- Robust plastic VISTAL® housing with IP66, IP67, IP69K protection ratings
- Wide ambient 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
- Small object detection in manufacturing lines
- Use in harsh environments requiring IP66, IP67, IP69K protection
- Complies with 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.
The SICK WL9M4-3P1132 Photoelectric Retro-Reflective Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
