1. SMA 1 Power Supply 150V/20A/ 3kW AMREL SPS Power Supply 150V/20A/ 3kW AMREL SPS Output analog signal0-10
2. The transition detection was performed in real time using the pressure data signals obtained from the 32 Kulite and optical pressure sensors. The pressure data were acquired using the IARNRC analog data acquisition system, which was connected to the 32 sensors. The sampling rate of each channel was at 15 kHz, which allowed a pressure fluctuation FFT spectral decomposition of up to 7.5 kHz for all channels. The signals were processed in real time using Simulink. The pressure signals were analyzed using Fast Fourier Transforms (FFT) decomposition to detect the magnitude of the noise in the surface air flow. Subsequently, the data was filtered by means of high-pass filters and processed by calculating the Root Mean Square (RMS) of the signal to obtain a plot diagram of the pressure fluctuations in the flow boundary layer. This signal processing is necessary to disparate the inherent electronically induced noise, by the Tollmien-Schlichting waves that are responsible for triggering the transition from laminar to turbulent flow. The measurements showed that in the processed data, the transition appeared at frequencies between 3÷5kHz and the magnitude of the pressure variations in the laminar flow boundary layer are on the order of 5e-4 Pa. The transition from the laminar flow to turbulent flow was shown by an increase in the pressure fluctuation, which was indicated by a drastic variation of the pressure signalRMS.
3. Improvements to Commercial and General Aviation via Adaptive Aerostructures