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Sick IME18-20NNOZC0S Proximity Sensor

The Sick IME18-20NNOZC0S proximity sensor provides a 20 mm sensing range with NPN NC switching and non-flush installation. It includes an M18 threaded housing, a 200 Hz switching frequency, and an M12 4-pin connector for quick integration. Additional details include DC 3-wire wiring, an IP67 enclosure rating, and supplied nickel-plated brass mounting nuts. Explore more about Sick, view Sick proximity sensors, or check the IME series.

BrandSick
Product TypeProximity Sensor
ProductIME18-20NNOZC0S

Sick IME18-20NNOZC0S Proximity Sensor – Technical Specifications

SpecificationValue
HousingCylindrical thread design, Standard design
Thread sizeM18 x 1
DiameterØ 18 mm
Sensing range Sn20 mm
Safe sensing range Sa16.2 mm
Installation typeNon-flush
Switching frequency200 Hz
Connection typeMale connector M12, 4-pin
Switching outputNPN
Output functionNC
Electrical wiringDC 3-wire
Enclosure ratingIP67 1)
Items suppliedMounting nut, brass, nickel-plated (2x)

The Sick IME18-20NNOZC0S proximity sensor is designed for precise metal detection in industrial automation applications. The Sick IME18-20NNOZC0S proximity sensor features a 20 mm sensing range, NPN NC output, and a 200 Hz switching frequency, offering dependable performance in demanding environments. As part of the IME series, it delivers consistent sensing capability for machine builders and system integrators.

This model is suitable for conveyors, packaging lines, material handling systems, and automated assembly stations. Its non-flush mounting design enables long detection distances, while the M12 connector ensures fast and secure installation. The IP67 protection supports use in dusty, humid, or vibration-heavy environments, ensuring stable and repeatable switching behavior.

The IME18-20NNOZC0S provides reliable detection with DC 3-wire wiring and a sturdy M18 threaded housing built for industrial setups. Its strong build quality, stable operation, and trusted Sick brand reputation make it a dependable choice for accurate sensing tasks. Engineers can rely on this model for long-term, maintenance-friendly performance.

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