Analysis of influencing factors of complex fluid velocity measurement based on cross correlation algorithm

Complex fluid velocity measurement can be achieved in a simple and direct manner using capacitive sensors and cross correlation algorithm. Measurement model and working principle are introduced in the paper. Sensor spacing, “solidification” flow model hypothesis and signal acquisition noise are three main factors affecting the effectiveness and accuracy of measurement. And their influences are discussed by means of numerical simulation.