Photoelectric Proximity Sensor IP67 Rated Infrared LED 850nm SICK
The Photoelectric Proximity Sensor RSB1-0624D125075PF3CZZZZZZ is designed for industrial automation, featuring a sensing range of 2mm to 300mm and an infrared LED
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 17 mA at 24 V without load
- Output type: 1 PNP digital output, max 100 mA
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- Protection class: III
- Enclosure rating: IP67
- Operating temperature: -40 °C to +60 °C
- Material: Aluminum anodised housing, PMMA front screen, PVC cable
- Cable length: 300 mm with M8 4-pin connector
- LED wavelength: 850 nm
- LED risk group: Free group
- Dimensions (H x L x W): 17mm x 624mm x 20mm
- Weight: 0.23 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
- Four beams with 125 mm separation and point-shaped light spots
- LED indicators for power and object presence status
- Robust metal aluminum anodised housing with PMMA front screen
- IP67 rated enclosure for dust and water protection
- Operating temperature range from -40 °C to +60 °C
- Short response time ≤ 1 ms and switching frequency up to 500 Hz
- Reverse polarity, overcurrent, and short-circuit protected outputs
- Installation by qualified personnel is recommended to ensure proper electrical connection and sensor alignment.
- 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 for specific warranty terms.
The SICK RSB1-0624D125075PF3CZZZZZZ photoelectric proximity sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
