Photoelectric Retro-Reflective Sensor WL100-2P1429 IP67 Rated 1,000 Hz Switching Frequency SICK
The Photoelectric Retro-Reflective Sensor WL100-2P1429 is designed for precise object detection in industrial automation.
Sign in
Please login to continue to your account.
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 30 mA
- Switching output: PNP
- Switching mode: Light/dark selectable
- Response time: ≤ 0.5 ms
- Switching frequency: 1,000 Hz
- Light source: LED, visible red light, 632 nm wavelength
- Light spot size at 2 m: Ø 140 mm
- Connection: 3-wire cable, 2 m length, PVC insulation
- Protection class: III
- Housing material: Plastic (ABS/PC/POM)
- Optics material: Plastic (PMMA)
- Enclosure rating: IP67
- Operating temperature: -25 °C to +55 °C
- Storage temperature: -40 °C to +70 °C
- Dimensions (H x L x W): 31mm x 20mm x 11mm
- Weight: 0.1 kg
- Photoelectric retro-reflective sensor with dual lens system for minimum distance to reflector
- Visible red light LED with wavelength of 632 nm
- Sensing range from 0.01 m to 2.5 m
- Potentiometer adjustment for sensitivity
- Selectable light/dark switching mode
- High switching frequency of 1,000 Hz
- IP67 rated enclosure for dust and water protection
- Includes mounting bracket BEF-W100-A and Reflector P250
- 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
- Safety and control systems requiring precise sensing
- Complies with AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Complies with AS/NZS 3820 – Essential Safety Requirements for Electrical Equipment
- Low power consumption with 30 mA current draw
- Durable IP67 housing reduces need for frequent replacements
- Long service life with MTTFD of 954 years
Standard manufacturer warranty applies; please refer to SICK for specific terms.
The SICK WL100-2P1429 Photoelectric Retro-Reflective Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
