SICK MZC1 CYLINDER SENSORS

The SICK MZC1-2V2PS-KU0 is a compact magnetic cylinder sensor designed for reliable piston position detection in C-slot pneumatic cylinders. It provides fast and accurate position monitoring for industrial automation and machine control applications. The sensor features a PNP, Normally Open (NO) switching output and a simple DC 3-wire connection, making it easy to integrate with standard control systems.

With a 10–30 V DC supply voltage and switching frequency of up to 1,000 Hz, the MZC1 delivers reliable and rapid switching performance. Its compact 23.7 mm housing makes it suitable for installations where space is limited. The sensor can be used with compatible cylinder types including SMC CDQ2 and ECDQ2 rails, round-body cylinders, profile cylinders and tie-rod cylinders.

The MZC1-2V2PS-KU0 is designed for demanding industrial environments. It provides IP68 and IP69K protection, along with reverse-polarity and short-circuit protection for dependable operation. An integrated LED indicator provides clear visual status indication. The sensor uses magnetic detection with a typical sensitivity of 2.2 mT and offers a typical overrun distance of 4 mm.

Technical Data

Manufacturer: SICK

Series: MZC1

Model: MZC1-2V2PS-KU0

Part No.: 1059738

Sensor Type: Cylinder Sensor

Sensing Principle: Magnetic

Cylinder Type: C-slot

Output: PNP

Output Function: Normally Open (NO)

Supply Voltage: 10–30 V DC

Switching Frequency: 1,000 Hz

Connection: DC 3-wire cable

Cable Length: 2 m

Housing Length: 23.7 mm

Continuous Current: ≤ 100 mA

Power Consumption: 8 mA, without load

Voltage Drop: ≤ 2.5 V

Typical Sensitivity: 2.2 mT

Typical Overrun Distance: 4 mm

Hysteresis: ≤ 0.8 mT

Reproducibility: ≤ 0.1 mT

Protection: Reverse polarity & short circuit

Status Indicator: LED

Enclosure Rating: IP68 / IP69K

Protection Class: III

The MZC1-2V2PS-KU0 combines compact design, fast switching, robust protection and reliable magnetic piston detection, making it suitable for efficient cylinder position monitoring in automated industrial systems.