Operating Temperature Range:-20°C to +50°C
Accuracy:+/- 0.5% of reading or 0.005 W/mK
Response Time:Less than 1 second
Power Consumption:1.5W max
Communication Interface:RS485 Modbus
Environmental Rating:IP65
Pressure Resistance:Up to 10 bar
Material:Stainless Steel housing, PTFE sensor
The GE XMTC-62-21 anametrics XMTC Thermal Conductivity Transmitter offers unparalleled precision and reliability in measuring thermal conductivity within a broad range of industrial processes. It is specifically engineered to meet the stringent requirements of modern industrial automation systems, ensuring accurate data acquisition for process optimization and control.
With an operating range from 0 to 100 W/mK and a high accuracy of +/- 1% of reading, this transmitter provides reliable measurements that are critical for efficient operation in various industries. Its fast response time of less than 1 second ensures minimal delay in data processing, enabling quick adjustments to maintain optimal process conditions.
Powered by 12V DC at 25mA, it efficiently consumes energy while delivering precise results. The device is designed to withstand wide temperature ranges, from -20°C to +70°C during operation and -40°C to +85°C for storage, making it suitable for use in extreme environments encountered in industrial settings.
Constructed from durable stainless steel and glass materials, the transmitter ensures robustness against corrosion and wear, providing long-lasting performance even in harsh conditions. The integrated 4-20mA output facilitates seamless integration with existing control systems, allowing for easy setup and implementation.
Incorporating advanced features and robust design, the GE XMTC-62-21 anametrics XMTC Thermal Conductivity Transmitter is a reliable solution for enhancing the efficiency and productivity of industrial processes. Whether in chemical plants, manufacturing facilities, or other industrial environments, this transmitter ensures accurate and timely thermal conductivity measurements, contributing to overall process optimization.
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