Photoelectric Proximity Sensor WTB2S-2P3110S50 IP67 Rated Fast Response Time SICK
The WTB2S-2P3110S50 Photoelectric Proximity Sensor is designed for precision in industrial automation
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Switching output: PNP, max output current ≤ 50 mA
- Switching mode: Light switching
- Response time: < 0.4 ms
- Switching frequency: 1,200 Hz
- Connection type: Cable with M8, 3-pin connector, 500 mm length
- Cable material: Plastic, PVC
- Conductor cross section: 0.09 mm²
- Cable diameter: 3 mm
- Circuit protection: A, B, D
- Housing material: Plastic ABS/PC
- Optics material: Plastic PMMA
- Enclosure rating: IP67
- Operating temperature: -25 °C to +50 °C
- Storage temperature: -40 °C to +75 °C
- Light source: PinPoint LED, visible red light, 640 nm wavelength
- Light spot size: Ø 2 mm at 8 mm distance
- Background suppression from 20 mm
- MTTFD: 3,487 years
- Dimensions (H x L x W): 22mm x 14mm x 8mm
- Weight: 0.1 kg
- Photoelectric proximity sensor with background suppression
- Rectangular housing design with visible red light
- PinPoint LED light source with 640 nm wavelength
- Sensing range from 3 mm to 15 mm, max 18 mm
- IP67 rated enclosure for dust and water protection
- Fast response time under 0.4 ms and switching frequency of 1,200 Hz
- Cable with M8 3-pin connector, 500 mm length
- Installation should be performed by qualified personnel familiar with industrial sensor wiring and safety standards.
- Detecting small objects in industrial automation
- Position sensing in manufacturing processes
- Object detection in packaging and material handling
- Complies with AS/NZS 4801 – Occupational Health & Safety Management Systems
- Low power consumption of 20 mA reduces energy usage
- Durable IP67 housing extends product life and reduces waste
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK WTB2S-2P3110S50 Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
