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Industrial Automation
Capacitive proximity sensor CMB – SICK
The CMB capacitive proximity sensors from SICK detect objects and levels regardless of color, reflectance, and gloss of the surfaces. In the process, they detect powdery, granulated, liquid, and solid materials – even through non-metallic walls made of plastic or glass, for example. The proven and rugged sensors are cost-efficient and feature extremely high electromagnetic compatibility (EMC), which prevents switching errors and reduces downtime. Thanks to the IO-Link interface, different parameterizations can be performed, and detailed data can be read out. This makes the CMB devices suitable for more complex applications and enables predictive maintenance.
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Features
Advantages
Applications
F.Fonseca is the representative of SICK in Portugal.
- Cylindrical housing in M18 and M30 models;
- Sensing ranges of up to 25 mm;
- Enclosure rating: IP67, IP68 and IP69K;
- Temperature range: −30 °C to +85 °C;
- Visual adjustment indicator;
- Available Smart Sensor: Enhanced Sensing, IO-Link, Diagnostics, Smart Tasks;
- Switching point is adjustable via potentiometer, cable, or IO-Link;
- Ecolab certified.
Advantages
- Cost-effective sensors for classic and more complex applications;
- Less machine downtime thanks to high shock and vibration resistance and numerous diagnostic options;
- Stable processes thanks to very good EMC and precise switching point settings;
- Quick installation thanks to the visual adjustment indicator and universal mounting systems;
- Optimization of stock thanks to diverse application options and various setting options via IO-Link;
- Smart Sensors make machine processes quicker, more efficient, and transparent, and enable predictive maintenance as well as Industry 4.0 applications.
Applications
- Beverage industry: Detection of bottle caps;
- Packaging industry: Level measurement in primary packaging;
- Plastics industry: Detection of rubber and plastic granulates;
- Solar and electronics industry: Detection of solar wafers;
- Wood-processing industry: Detection of wood on processing machines.
F.Fonseca is the representative of SICK in Portugal.
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