Photoelectric Proximity Sensor M18 IP67 Rated Fast Response Time SICK
The Photoelectric Proximity Sensor M18 is designed for industrial automation, featuring a sensing range of 1 mm to 1100 mm and a fast response time of ≤ 0.5 ms.
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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: 1000 Hz
- Cable: 4-wire, 2 m length, PVC material
- Protection class: III
- Housing material: Nickel-plated brass and polycarbonate
- Optics material: PMMA plastic
- Operating temperature range: -25 °C to +55 °C
- Storage temperature range: -40 °C to +70 °C
- Enclosure rating: IP67
- Dimensions (H x L x W): 18mm x 62.5mm x 18mm
- Weight: 0.1 kg
- Photoelectric proximity sensor with energetic functional principle
- Visible red light LED with wavelength of 645 nm
- Sensing range from 1 mm up to 1100 mm
- Potentiometer adjustment with 270° for sensing range
- Cylindrical metal housing with M18 x 1 thread diameter
- IP67 rated enclosure for dust and water protection
- Fast response time of ≤ 0.5 ms and switching frequency of 1000 Hz
- Selectable light/dark switching mode via control cable
- Cable connection with 4-wire, 2 m length, PVC material
- Installation by a qualified technician or electrician is recommended to ensure proper wiring and sensor alignment.
- Industrial automation for object detection
- Manufacturing process control
- Safety and monitoring in machinery
- Material handling and packaging systems
- Complies with AS/NZS 3820 – Essential Safety Requirements for Electrical Equipment
- Energy-efficient LED light source reduces power consumption
- Durable metal housing extends product lifespan, reducing waste
- IP67 rating ensures protection against environmental contaminants
Standard manufacturer warranty applies; please refer to SICK for specific warranty terms.
The SICK VTE180-2P41182 Photoelectric Proximity Sensor is available for immediate purchase, ideal for industrial automation and safety monitoring applications.
