Dataset requirements for shear probes
This page provides an overview of the NetCDF format of benchmark dataset for instruments that measure microstructure shear using airfoil probes. The data format recommended is summarized in Data Format below.
Please use the following naming convention for standard dimensions and include the necessary meta data.
ATOMIX provides several benchmark data sets following these guidelines.
Minimum and desirable data set
- The absolute minimum signals and information required to estimate the rate of dissipation of kinetic energy consists of:
- a sampled shear-probe signal,
- a means of determining the speed of flow past the shear probe, and
- a means to estimate the temperature of the fluid so that you can determine its kinematic viscosity.
The sampling rate of the shear-probe signal should exceed significantly (by a factor of 2 to 4) the value of 150U, where U is the speed of the flow past the shear-probe. This speed is often called the speed of profiling, even when the probe is fixed in space and the current causes fluid to flow past the shear probe. The value of 150 cpm equals the spatial resolution of the commonly used shear probe.
- The desirable data set
A far more desirable, but not absolutely necessary, set of data consists of the following.
- Two or more shear probes for measurement redundancy.
- Vibration sensors or accelerometers that are sensitive to the directions of sensitivity of the shear probes.
- An accurate thermometer.
- A pressure transducer.
- A signal that can be used to estimate the speed of flow past the shear probe.
- Pitch and roll sensors.
Most commonly available instruments carry two shear probes that are frequently oriented so that they measure orthogonal components of the shear and, thus, provide two independent estimates of the rate of dissipation that you should agree statistically.
Shear probe measurements: Data Format
Following the recommendations of the flow chart, ATOMIX defined four processing levels a user needs to follow to obtain a standardized estimation of epsilon:
- Raw timeseries
- full resolution data in physical units
- Quality-controlled and segmented timeseries
- full resolution cleaned and despiked parameters from level 1, subdivided in individual sections.
- Spectra
- raw and cleaned spectra
- Dissipation [math]\displaystyle{ \varepsilon }[/math] estimates
- dissipation estimates and corresponding quality parameter as time series
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