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SICK Retroreflective Photoelectric Barrel Sensor 7.2 m Detection Range PNP Output IP67 Metal Housing GRL18S-P233Y
Specifications
| Country of Origin | Malaysia |
|---|---|
| Brand | SICK |
| Response time | 500μs |
| Light Source | Pin Point LED |
| Detection range | 7.2 m |
| Model | GRL18S-P233Y |
| IP Rating | IP67 |
| Mount Type | Screw |
| Housing Material | Metal |
| Output type | PNP |
| Series | GR18S |
| Maximum Operating Temperature | 55°C |
| Minimum Operating Temperature | -25°C |
| Maximum Current | 100mA |
| DetectIon Type | Retroreflective |
| Terminal type | 3-Pin Connector |
| Interface Type | 12-Pin Connector |
| Maximum dc Voltage | 30V dc |
| Standards/Approvals | EN 60947-5-2 |
| Sensor Style | Barrel |
Key Features
- Compact cylindrical M18 metal housing ensures durability and ruggedness.
- Highly visible PinPoint LED enables precise detection and easy alignment.
- IP67 rated for water and dust resistance suitable for harsh environments.
- Simple screw mounting for flexible and secure installation.
- Fast response time of 500 microseconds for reliable sensing.
- Wide operating temperature range from -25°C to 55°C.
- Supports 3-pin connector interface with a maximum supply voltage of 30 V DC.
- Certified under standard EN 60947-5-2 for industrial sensing.
Product Description
SICK GRL18S-P233Y retroreflective Photoelectric Sensor is designed with a robust metal cylindrical barrel housing offering a 7.2 m detection range. Featuring a PNP output and an IP67 protection rating, this sensor is suitable for challenging industrial environments where precision and reliability are critical.
The sensor incorporates a bright PinPoint LED light source that facilitates precise object detection and alignment during installation and operation. Its compact size and screw mount make it adaptable for a variety of automation and control gear applications.
This device supports a 3-pin connector interface, operates within a voltage range up to 30 V DC, and delivers a swift response time of 500 µs. It is compliant with the EN 60947-5-2 standard, ensuring adherence to industrial safety and performance requirements.
Typical use cases include monitoring sheet rejects, part detection in robotic grippers, load carriage on shuttles, and identification of waste bags in industrial processes. Its rugged metal housing and IP67 rating help protect against dust and water ingress, enhancing sensor durability and lowering maintenance needs.
The sensor’s operating temperature range from -25°C to 55°C makes it versatile for use in various industrial, manufacturing, automation, and logistics environments. Compact M18 metal barrel housing provides durability. Bright PinPoint LED ensures precise detection.
IP67 rated protection for harsh conditions. Quick response time of 500 microseconds. Easy screw mounting allows flexible installation. Compliant with EN 60947-5-2 industrial standards. Wide temperature operation range from -25°C to 55°C.
PNP output with 3-pin connector interface. 7.2 m detection range suitable for diverse applications. Manufactured in Malaysia with strict quality control.
Choose this sensor for reliable performance in industrial automation, control systems, manufacturing lines, and warehousing systems. Explore more sensors at EnvMart to find compatible photoelectric solutions.
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Frequently Asked Questions
The SICK GRL18S-P233Y sensor has a detection range of 7.2 meters.
This model features a PNP output type.
The sensor has a response time of 500 microseconds.
It has an IP67 rating, making it suitable for protection against dust and water ingress.
The operating temperature range is from -25°C to 55°C.
The sensor is housed in a metal cylindrical barrel, which provides durability.
It features a screw mount for flexible and secure installation.
This model supports a 3-pin connector interface.
Yes, it is compliant with the EN 60947-5-2 standard for industrial sensing.
It uses a bright PinPoint LED light source for precise object detection and alignment.
The maximum supply voltage for this sensor is 30 V DC.
Typical applications include monitoring sheet rejects, part detection in robotic grippers, and identification of waste bags in industrial processes.
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