Photoelectric Proximity Sensor RSB1-0820G108108AB3CZZZP0A IP67 Rated 500 Hz Switching Frequency SICK
The Photoelectric Proximity Sensor RSB1-0820G108108AB3CZZZP0A is designed for industrial automation, featuring a sensing range of 2 mm to 300 mm and a high
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 32 mA at 24 V
- Output type: 2 complementary push-pull outputs (PNP/NPN)
- Switching mode: Light/dark switching
- Output current max: ≤ 100 mA
- Response time: ≤ 1 ms
- Switching frequency: 500 Hz
- Protection class: III
- Enclosure rating: IP67
- Operating temperature: -40 °C to +60 °C
- Shock resistance: 30 g, 11 ms
- Vibration resistance: 10 Hz to 55 Hz, amplitude 1 mm
- Dimensions (H x L x W): 17mm x 820mm x 20mm
- Weight: 0.3 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
- 7 beams with 108 mm beam separation
- LED indicators for power and object presence
- High switching frequency of 500 Hz and response time ≤ 1 ms
- Robust metal aluminum anodised housing with PMMA front screen
- IP67 rated enclosure for dust and water protection
- Wide ambient operating temperature range from -40 °C to +60 °C
- Cable with M8 4-pin connector, 300 mm length
- Installation by a qualified technician or electrician is recommended to ensure proper connection and compliance with safety standards.
- Industrial automation for object detection
- Detecting flat, perforated, uneven, and shiny objects
- Position tolerance detection in manufacturing processes
- AS/NZS 60950 – Safety of IT and Communication Equipment
- Long LED service life of 100,000 hours reduces waste and replacement frequency
- Energy-efficient LED light source minimizes power consumption
Standard manufacturer warranty applies. Please refer to SICK's official warranty policy for details.
The SICK RSB1-0820G108108AB3CZZZP0A Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
