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Showing 3 results for Turbulent Boundary Layer
Mohsen Kahrom, Saeid Vahidifar,
Volume 14, Issue 3 (6-2014)
Abstract
Experimental evaluation of overall convection heat transfer coefficient of a rectangular bar in the vicinity of a flat plate is investigated. A quad of rectangular shape and later a quad with the cause of optimal heat transfer are placed at the near and the inside of a turbulent boundary layer over a flat plate. The overall convection heat transfer coefficient of the flat plate are measured and compared to the case similar to a single flat plate. A low speed wind tunnel is employed to maintain main flow field at the requested speed and special electrical circuit is prepared to provide heat and measure heat losses from the flat plate. Conclusion is made that when the obstacle closes to the flat plate, the total convective heat transfer coefficient increases to a maximum and then reduces again by moving towards the plate. Distance from the flat in which the maximum heat transfer coefficient occurs is reported.
Abbas Afshari, Aliakbar Dehghan, Vali Kalantar, Mohammad Farmani,
Volume 17, Issue 1 (3-2017)
Abstract
Surface pressure fluctuations beneath turbulent boundary layer on a flat plate have complex physical behavior and due to its importance in acoustic noise generation, extensive studies have been devoted to predicting or measuring the surface pressure behavior. In the present study to investigate the surface pressure fluctuations under zero pressure gradient, a flat plate with a chord length of 580 mm has been used. All experiments were carried out in a subsonic wind tunnel and at three free-stream velocities: 10, 15 and 20 m/s. In order to measure unsteady pressure fluctuations, a condenser microphone is used as a pressure transducer. Moreover, various parameters of turbulent boundary layer are measured to provide the input variables of semi-empirical models. A single constant temperature hot-wire anemometer has been used for boundary layer measurement. Surface pressure spectra has been measured at various velocities and their collapse on a single curve by normalizing with different variables of turbulence boundary layer is studied. The results show that the best collapses in low and middle frequencies can be obtained by using mixed variables. However, in high frequency range the pressure spectra collapses when it is normalized by inner layer scales. Finally, after ensuring the accuracy of surface pressure spectra results, the efficiency of semi-empirical models for predicting turbulent boundary layer wall pressure spectra is evaluated. The results show the effectiveness of the Goody’s semi-empirical model for prediction of surface pressure spectra by using turbulent boundary layer parameters.
A. Afshari, A. Dehghan, M. Dehghani Mohammad-Abadi , M. Dehghan Manshad,
Volume 20, Issue 8 (8-2020)
Abstract
The study of turbulent boundary layer trailing edge noise as one of the most important aerodynamic sound generation mechanisms is a fundamental issue in design and production of equipment with minimum noise. In the present study, the utilization of finlets as a turbulent boundary layer trailing edge noise control technique is investigated. For this purpose, a flat-plate model, equipped with surface pressure transducers has been designed and built and the main parameters of trailing edge noise including the surface pressure spectra, the spanwise length scale, and eddy convection velocity in the trailing edge region have been measured. Moreover, in order to study the structure of the boundary layer flow downstream of the surface treatments, a single hot-wire anemometer has been used. The results showed that the presence of finlets leads to a significant reduction in the surface pressure spectra at all frequency ranges except for frequencies close to the maximum surface pressure spectrum. Furthermore, passing the flow structures through the finlets, although did not create significant changes to the spanwise length scale at high frequencies, however, they have led to an increase at low to mid frequencies. Finally, the Amiet-Roger model has been used to evaluate the changes in far field trailing edge noise due to the presence of the finlets and the results show the effectiveness of finlets in reducing trailing edge noise over a wide range of frequencies.
