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Sick IME30-15BNOZW2S Proximity Sensor

The Sick IME30-15BNOZW2S proximity sensor offers 15 mm sensing range with M30 housing, flush mounting, and NPN NC output. This Sick proximity sensor belongs to the Sick Proximity Sensor category and is part of the IME Series. It features DC 3-wire wiring, 500 Hz switching frequency, 2 m cable connection, and an IP67 enclosure rating for industrial automation environments.

BrandSick
Product TypeProximity Sensor
Model NumberIME30-15BNOZW2S

Sick IME30-15BNOZW2S Proximity Sensor – Technical Specifications

SpecificationValue
HousingCylindrical thread design, Standard design
Thread sizeM30 x 1.5
DiameterØ 30 mm
Sensing range Sn15 mm
Safe sensing range Sa12.15 mm
Installation typeFlush
Switching frequency500 Hz
Connection type2 m Cable
Switching outputNPN
Output functionNC
Electrical wiringDC 3-wire
Enclosure ratingIP67 1)
Items suppliedMounting nut, brass, nickel-plated (2x)

The IME30-15BNOZW2S Sick Proximity Sensor NPN NC is an inductive sensor designed for controlled metal detection tasks. This IME30-15BNOZW2S model provides a 15 mm nominal sensing range with a defined 12.15 mm safe sensing distance. It operates using an NPN normally closed output and DC 3-wire electrical wiring. As part of the IME Series, this Sick proximity sensor is applied across standard industrial automation systems.

The IME30-15BNOZW2S proximity sensor is commonly used in conveyors, packaging machines, automated assembly stations, and material handling equipment. Flush installation allows stable mounting in metal surfaces, while the consistent switching frequency supports reliable signal performance. The defined output behavior enables accurate detection in repetitive automation processes.

The Sick IME30-15BNOZW2S proximity sensor is built for dependable operation in industrial environments. Its IP67-rated enclosure protects against dust and moisture exposure, and the M30 threaded housing ensures secure mechanical installation. As a Sick IME Series proximity sensor, this model supports long-term reliability and predictable sensing performance in automation applications.

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