Measurement Range:0 to 1999 μS/cm
Accuracy:±0.5% of reading ±1 μS/cm
Response Time:≤ 0.5 seconds
Temperature Compensation:0°C to 50°C
Power Supply:12 to 24 VDC
Environmental Conditions:IP67 Waterproof, -20°C to 70°C Operating Temperature
Dimensions:150mm x 70mm x 30mm
Wire Length:5m
Connection Type:2-wire
Material:Stainless Steel Housing, PVC Cable
Engineered for reliability and precision, the EMERSON 400-11 400*9027164 Conductivity Sensor is a critical component in any industrial control system where accurate conductivity measurements are essential. This sensor boasts an expansive measurement range from 0 to 1999 μS/cm, making it suitable for a wide variety of industrial applications.
Featuring an impressive accuracy of ±0.5% of reading ±1 μS/cm, this sensor ensures dependable results even under fluctuating conditions. Its quick response time of ≤ 0.5 seconds minimizes delays in data collection, optimizing efficiency in real-time monitoring.
Temperature compensation from 0°C to 50°C ensures consistent performance across varying environmental conditions. With compatibility for power supplies ranging from 12 to 24 VDC, it can be easily integrated into existing systems.
Designed with durability in mind, the sensor features an IP67 waterproof housing and operates within a temperature range of -20°C to 70°C, making it suitable for harsh industrial environments. The stainless steel housing not only enhances longevity but also provides protection against corrosion.
For ease of installation and maintenance, the EMERSON 400-11 400*9027164 Conductivity Sensor utilizes a 2-wire connection type. The included 5m cable ensures ample reach without the need for additional wiring. The compact dimensions of 150mm x 70mm x 30mm facilitate seamless integration into tight spaces.
Crafted from high-quality materials including stainless steel and PVC cable, this sensor is not only robust but also provides a reliable conduit for conductivity signals. Its comprehensive specifications and design make it an indispensable tool for maintaining optimal process control in industries worldwide.
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