LED Proximity Sensor KTM-MB31194P IP67 Rated Small Housing Design SICK
The SICK LED Proximity Sensor KTM-MB31194P is designed for industrial automation, featuring a small housing and IP67 rating for dust and water resistance.
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- Supply voltage: 12 V DC to 24 V DC
- Ripple: ≤ 5 V pp
- Current consumption: < 50 mA
- Switching frequency: 10 kHz
- Response time: 50 µs
- Jitter: 25 µs
- Switching output: PNP and NPN
- Output current max: 50 mA
- Time delay: None
- Protection: Reverse polarity, short-circuit, interference pulse suppression
- Housing material: ABS
- Optics material: PMMA
- Connection: 4-wire cable, 2 m length
- Enclosure rating: IP67
- Operating temperature: -10 °C to +55 °C
- Storage temperature: -20 °C to +75 °C
- Shock load: IEC 60068 compliant
- Dimensions (H x L x W): 31.5mm x 21mm x 12mm
- Weight: 0.1 kg
- Small housing design with dimensions 12 mm x 31.5 mm x 21 mm
- Sensing distance up to 12.5 mm with ±3 mm tolerance
- White LED light source with round light spot of 2 mm diameter
- Light/dark switching mode with PNP and NPN switching outputs
- Protection class III with reverse polarity and short-circuit protection
- IP67 rated enclosure for dust and water resistance
- Cable open end 4-wire connection, 2 meters long
- Green LED indicator for power on and yellow LED for switching output status
- Installation should be performed by qualified personnel familiar with electrical sensor wiring and safety standards to ensure proper operation and compliance.
- Industrial automation for object detection
- Manufacturing process control
- Packaging machinery sensing
- Robotics and conveyor systems
- AS/NZS 3000 – Wiring Rules (Electrical Installation)
- Low power consumption with less than 50 mA current draw
- Durable ABS housing and PMMA optics reduce material waste
- Complies with China-RoHS for hazardous substance restrictions
Standard manufacturer warranty applies; please refer to SICK's official warranty policy.
The SICK KTM-MB31194P sensor is available for immediate purchase, ideal for industrial automation and manufacturing applications requiring precise object detection.
