Photoelectric Proximity Sensor Infrared LED IP67 Rated Variant-40 SICK
The Photoelectric Proximity Sensor is designed for industrial automation, featuring an infrared LED light source and a sensing range of 2 mm to 300 mm.
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 17 mA without load at 24 V
- Switching mode: Light/dark switching with PNP output
- Output current max: ≤ 100 mA
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- LED risk group: Free group
- Protection: Reverse polarity, overcurrent, short-circuit protected
- Connection: Cable with M8 4-pin connector, 300 mm length
- Material: Anodised aluminum housing, PMMA front screen, PVC cable
- Dimensions (H x L x W): 17mm x 525mm x 20mm
- Weight: 0.191 kg
- Photoelectric proximity sensor with energetic functional principle
- Sensing range from 2 mm to 300 mm, optimal 2 mm to 45 mm
- Infrared LED light source with 850 nm wavelength
- Point-shaped light spot size 27 mm x 29 mm at 45 mm distance
- Four beams with 125 mm separation
- LED indicators for power and object presence
- High switching frequency of 500 Hz and response time ≤ 1 ms
- Protection class III with reverse polarity, overcurrent, and short-circuit protection
- IP67 rated enclosure for dust and water resistance
- Operating temperature range from -40 °C to +60 °C
- Installation should be performed by qualified personnel familiar with electrical sensor systems to ensure proper wiring and configuration.
- Industrial automation for object detection
- Detecting flat, perforated, uneven, and shiny objects
- Position tolerance detection in manufacturing processes
- Complies with AS/NZS 60950 – Safety of IT and Communication Equipment
- Energy-efficient LED light source with long service life of 100,000 hours
- Durable construction reduces waste and replacement frequency
Standard manufacturer warranty applies; please refer to SICK's official warranty policy.
The SICK RSB1-0525D125075PF3CZZZZZZ photoelectric proximity sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
