Optical Fork Sensor WF120-95B416 Infrared Detection IP65 Rated SICK
The Optical Fork Sensor WF120-95B416 utilizes infrared detection for precise object detection in industrial automation.
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- Supply voltage: 10 V DC to 30 V DC
- Ripple: < 10%
- Switching frequency: 10 kHz
- Response time: ≤ 100 µs
- Stability of response time: ± 20 µs
- Jitter: 40 µs
- Output current max: 100 mA
- Switching output: PNP/NPN light/dark switching
- Circuit protection: Reverse polarity, short-circuit, interference pulse suppression
- Enclosure rating: IP65
- Housing material: Aluminum
- Connection type: Male M8, 4-pin connector
- Minimum detectable object size: 0.2 mm
- Fork width: 120 mm
- Fork depth: 95 mm
- Ambient operating temperature: -20 °C to +60 °C
- Storage temperature: -30 °C to +80 °C
- Ambient light immunity: ≤ 10,000 lx
- Safety parameters: MTTFD 97 years, DCavg 0%
- Dimensions (H x L x W): 150mm x 110mm x 10mm
- Weight: 0.1 kg
- Optical detection principle using infrared LED light source
- Adjustable sensitivity and light/dark switching via plus/minus button
- 2-point teach-in mode for easy setup
- High switching frequency of 10 kHz with response time ≤ 100 µs
- IP65 rated enclosure for protection against dust and water
- Reverse polarity and short-circuit protected outputs
- Light/dark switching output selectable via button
- Male M8 4-pin connector for easy connection
- Installation by qualified personnel is recommended to ensure proper electrical connection and compliance with safety standards.
- Industrial automation for object detection
- Quality control in manufacturing lines
- Positioning and counting of small parts
- Complies with AS/NZS 4801 – Occupational Health & Safety Management Systems
- Low power consumption with efficient LED infrared light source
- Durable aluminum housing reduces material waste and extends product life
Standard manufacturer warranty applies; please refer to SICK for specific warranty terms.
The SICK WF120-95B416 Optical Fork Sensor is available for immediate purchase, ideal for industrial automation and object detection applications.
