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Fixed hydraulic orifice based on empirical data
The Fixed Orifice Empirical block models a fixed orifice in hydraulic systems with data obtained from experimental testing. The data required for characterization is the set of pressure differentials across the orifice, together with associated flow rates determined for a particular fluid and temperature.
The flow rate through the orifice is determined with the table lookup block from the set of experimental measurements
q = f(p)
where
q | Volumetric flow rate |
p | Pressure differential |
You can select from three interpolation and two extrapolation methods.
Note Extrapolation could result in large errors if the operating point deviates significantly from the area of experiments. |
The block positive direction is from port A to port B. This means that the flow rate is positive if it flows from A to B, and the pressure differential is determined as $$p={p}_{A}-{p}_{B}$$.
Specify the pressure differential vector as a one-dimensional array. The vector contains values of pressure differentials obtained during experimental characterization of the orifice. The vector must be strictly increasing. The values can be nonuniformly spaced. The minimum number of values depends on the interpolation method: you must provide at least two values for linear interpolation, at least three values for cubic or spline interpolation. The default values, in Pa, are [ -4e+6 -3e+6 -2e+6 -1e+6 -5e+5 0 5e+5 1e+6 2e+6 3e+6 4e+6 ].
Specify the vector of flow rates through the orifice, corresponding to these pressure differentials, as a one-dimensional array. The vector must be of the same size as the Tabulated pressure differentials vector. The default values, in m^3/s, are [ -0.0024436 -0.0021248 -0.0016852 -0.0012248 -8.4476e-4 0 8.5333e-4 0.0012068 0.0017067 0.0020902 0.0024136 ].
Select one of the following interpolation methods for approximating the output value when the input value is between two consecutive grid points:
Linear — Uses a linear interpolation function.
Cubic — Uses the Piecewise Cubic Hermite Interpolation Polinomial (PCHIP).
Spline — Uses the cubic spline interpolation algorithm.
For more information on interpolation algorithms, see the PS Lookup Table (1D) block reference page.
Use extrapolation with extreme caution, because moving beyond the measurement limits could result in large errors. Select one of the following extrapolation methods for determining the output value when the input value is outside the range specified in the argument list:
From last 2 points — Extrapolates using the linear method (regardless of the interpolation method specified), based on the last two output values at the appropriate end of the range. That is, the block uses the first and second specified output values if the input value is below the specified range, and the two last specified output values if the input value is above the specified range.
From last point — Uses the last specified output value at the appropriate end of the range. That is, the block uses the last specified output value for all input values greater than the last specified input argument, and the first specified output value for all input values less than the first specified input argument.
For more information on extrapolation algorithms, see the PS Lookup Table (1D) block reference page.