Optical Fork Sensor WFM80-60P311 | IP67 Rated | 4 kHz Switching Frequency | Fast Response Time | by SICK
The Optical Fork Sensor WFM80-60P311 is designed for precise object detection in industrial automation, featuring a high switching frequency of 4 kHz and a fast response time of ≤ 125 µs. With an IP67 rated enclosure for dust and water protection, this robust sensor is perfect for manufacturing process control and safety monitoring in production lines.
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- Supply voltage: 10 V DC to 30 V DC
- Current consumption: < 20 mA
- Switching frequency: 4 kHz
- Response time: ≤ 125 µs
- Switching output: PNP with max output current 100 mA
- Enclosure rating: IP67
- Housing material: Aluminum
- Connection type: M8, 3-pin connector
- Ambient operating temperature: -10 °C to +60 °C
- Storage temperature: -40 °C to +80 °C
- Ambient light immunity: ≤ 10,000 lx
- Shock load: According to EN 60068-2-27
- Safety parameters: MTTFD 131 years, DCavg 0%
- Dimensions (H x L x W): 100mm x 77.5mm x 10mm
- Weight: 0.135 kg
- Optical detection principle with LED red light source
- Fork width of 80 mm and fork depth of 60 mm
- Minimum detectable object size of 0.8 mm
- High switching frequency of 4 kHz and fast response time ≤ 125 µs
- IP67 rated enclosure for dust and water protection
- Robust aluminum housing with M8 3-pin connector
- Reverse polarity and short-circuit protected outputs
- Installation by a qualified technician or electrician is recommended to ensure proper connection and compliance with safety standards.
- Industrial automation for object detection
- Manufacturing process control
- Safety and monitoring in production lines
- Complies with AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Low power consumption with supply voltage from 10 V DC to 30 V DC
- Durable aluminum housing reduces material waste and extends product life
Standard manufacturer warranty applies; please refer to SICK for specific warranty terms.
The SICK WFM80-60P311 Optical Fork Sensor is available for immediate purchase, ideal for industrial automation and manufacturing process control applications.
