Overview
The Sick MZN1-06VPS-KRD is a magnetic cylinder sensor from SICK’s proven MZN1 family, engineered for reliable piston position detection in C-slot cylinders. This model combines compact design with proven GMR-ASIC technology for consistent performance in automation systems. Ideal for FESTO and SMC cylinders, the MZN1-06VPS-KRD delivers the switching precision required in pneumatic and hydraulic automation.
Key Features
- GMR-ASIC Technology: Advanced magnetoresistive technology for stable, repeatable sensing
- IP 67 Enclosure Rating: Full protection against dust and water ingress
- Compact Housing: Space-efficient design with metal installation screw for secure mounting
- LED Status Indicator: Real-time feedback for system diagnostics
- PNP Output: M8 3-pin connector with knurled nuts for reliable field connectivity
- Shock and Vibration Resistant: Reduces sensor failure and maintenance downtime
Technical Specifications
- Input Voltage: 10–30 VDC
- Output Type: PNP
- Connection: M8 3-pin connector with knurled nuts
- Enclosure Rating: IP 67
- Housing Material: Plastic with metal installation screw
- Technology: SICK GMR-ASIC
- Series: MZN1
- Part Number: 1023985
Typical Applications
- Pneumatic cylinder position monitoring
- Hydraulic system end-of-stroke detection
- Assembly line automation and material handling
- Packaging machinery control
- Industrial robotics and automation systems
Compatibility & Replacements
Compatible With
- FESTO C-slot cylinders
- SMC C-slot cylinders
- Standard industrial pneumatic and hydraulic automation systems
- PLC/controller systems with 10–30 VDC input capability
Replaces / Drop-In Replacement For
- Previous MZN1 series sensors in C-slot cylinder applications
- Note: This model is discontinued. The MZC1-2V2PS-KRD is listed as a potential successor, though verification with your system integrator is recommended before ordering.
Works With
- Direct control via PLC analog/digital inputs
- Industrial control systems using 10–30 VDC power supply
- Standard M8 connector-based sensor networks
