Optical Fork Sensor Infrared Detection IP65 Rated Variant-16 SICK
The Optical Fork Sensor WF15-95B41CA00 features advanced infrared detection technology, making it ideal for industrial automation and precise object detection.
Sign in
Please login to continue to your account.
- Supply voltage: 10 V DC to 30 V DC
- Current consumption: 20 mA
- Switching frequency: 15 kHz
- Response time: ≤ 46 µs
- Switching output: Push-pull PNP/NPN
- Output current max: 100 mA
- Enclosure rating: IP65
- Ambient operating temperature: -20 °C to +60 °C
- Connection type: Male connector M8, 4-pin
- Teach-in modes: 1-point, 2-point, dynamic
- Cycle time: 2.3 ms
- Protection class: III
- Shock load: According to EN 60068-2-27
- Dimensions (H x L x W): 45mm x 110mm x 10mm
- Weight: 0.1 kg
- Optical detection principle with infrared LED light source
- Fork width of 15 mm and fork depth of 95 mm
- Minimum detectable object size of 0.2 mm
- Multiple teach-in modes including 1-point, 2-point, and dynamic
- Selectable light/dark switching output function
- IO-Link V1.1 communication interface for advanced configuration
- High switching frequency of 15 kHz and fast response time ≤ 46 µs
- Push-pull PNP/NPN switching output with short-circuit protection
- IP65 rated aluminum housing for robust industrial use
- Wide operating temperature range from -20 °C to +60 °C
- Installation by a qualified technician or electrician is recommended to ensure proper setup and compliance with safety standards.
- Industrial automation for object detection
- Label detection in manufacturing processes
- Quality control and sorting systems
- Complies with AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Energy-efficient LED light source reduces power consumption
- Durable aluminum housing extends product lifespan, reducing waste
Standard manufacturer warranty applies; please refer to SICK's official warranty policy for details.
The SICK WF15-95B41CA00 Optical Fork Sensor is available for immediate purchase, ideal for industrial automation and precise object detection applications.
