HFS-DAQ 8 Differential Inputs Heat Flux Sensor Data Logger

Supported Applications

The Omega HFS DAQ is a data acquisition system designed to read and record measurements from HFS heat flux sensors with integrated thermocouples. The instrument supports applications requiring the simultaneous monitoring of small analog DC voltage signals outputted by these specific sensor types.

• Recording both heat flux and temperature data
• Data logging via accompanying software that allows users to start/stop recording, toggle viewing plots for different channels, and save runs as .csv files

Operating Conditions & Performance

The HFS DAQ system is engineered with a 24-bit Delta-Sigma Analog-to-Digital Converter. Key performance specifications include an input voltage resolution of < 1 μV and an output voltage noise of 0.85 μVRMS. The device accepts differential inputs within a range of +/- 2.048 Volts.

• Cold Junction Compensation: Yes, provided by on-board thermistor
• CJC Thermistor Accuracy: 2 °C absolute accuracy
• Maximum Sampling Rate: Approximately 3 Hz (dependent on the number of channels/sensors measured simultaneously)

Configuration Options

The series is configured as a low-cost data acquisition system packaged to measure signals from HFS heat flux sensors. The unit features 8 differential input channels, allowing up to 4 complete HFS sensors (each providing both heat flux and temperature) to be connected simultaneously.

• Computer Interface: USB cable
• Standard Thermocouple Type: Type-T
• Overall Package Dimensions: 4.8" x 4.1" x 3.4" (9.6 x 10.4 x 8.7 cm) for the largest system configuration; lower functionality versions may have smaller height dimensions.

Key Product Differences

The HFS DAQ is offered as a single model, part number HFS-DAQ. The datasheet notes that overall package dimensions vary based on included features, with the specified 4.8" x 4.1" x 3.4" (9.6 x 10.4 x 8.7 cm) representing the largest system configuration.

• Software behavior: The program does not append to the next available file name when a new data run is collected; users must manage filenames manually.
• Performance note: On older computers, data in plots may be delayed during operation.