Two-dimensional correction of data measured using a large pressure sensor

摘要

Various nozzle applications require description of a pressure impact field, which can mostly be done only by measurement. This paper describes how to obtain precise results using a real finite-size pressure sensor. In some cases, the impact distribution is very small or at least very narrow. Measuring such distributions with a pressure sensor, which is not small enough, results in incorrect data. The pressure is being averaged during the measurement and the shape of the obtained spray distribution is larger and the measured pressure maximum is lower than the real one. This paper describes how to correct the measured spray distribution. A two-dimensional Fast Fourier Transformation (FFT) is used to convert both the measured data and pressure sensor to the frequency domain. The correction of the measured spray distribution is done in the frequency domain and then an inverse two-dimensional FFT is used to convert the data back to the space domain. This allows suppressing noise in the measured data that would be extremely amplified. Very good results are presented using both the artificial and real data.