Photoelectric Retro-Reflective Sensor IP67 Rated Fast Response Time Variant-1 (Selectable Light Dark Mode) SICK
The Photoelectric Retro-Reflective Sensor VL180-2P41136 is designed for industrial automation, featuring a fast response time of ≤ 0.5 ms and a sensing range of
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 30 mA
- Switching output: PNP
- Switching mode: Light/dark switching selectable
- Response time: ≤ 0.5 ms
- Switching frequency: 1,000 Hz
- Cable: 4-wire, 2 m length, PVC material
- Protection class: III
- Operating temperature: -25 °C to +55 °C
- Storage temperature: -40 °C to +70 °C
- Housing material: Plastic (PBT/PC)
- Optics material: Plastic (PMMA)
- Enclosure rating: IP67
- Weight: 62 g
- Dimensions (H x L x W): 18mm x 63mm x 18mm
- Weight: 0.1 kg
- Photoelectric retro-reflective sensor with dual lens system for minimum distance to reflector
- Visible red light LED with wavelength of 645 nm
- Sensing range from 0.05 m to 7 m
- Potentiometer adjustment with 270° sensitivity control
- IP67 rated enclosure for dust and water protection
- Plastic housing with M18 x 1 thread diameter
- Fast response time of ≤ 0.5 ms and switching frequency of 1,000 Hz
- Selectable light/dark switching mode via control cable
- Includes reflector P250 and fastening nuts
- Installation should be performed by a qualified electrician or technician familiar with photoelectric sensor wiring and safety standards.
- Industrial automation for object detection
- Material handling and conveyor systems
- Safety and security systems requiring precise sensing
- Manufacturing process control
- AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Low power consumption with efficient LED light source
- Durable IP67 housing reduces need for frequent replacements
- Complies with China-RoHS for hazardous substance restrictions
Standard manufacturer warranty applies; please refer to SICK for specific warranty terms.
The SICK VL180-2P41136 Photoelectric Retro-Reflective Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
