摘要: The momentum coefficient is the most commonly used performance parameter for active flow control (AFC) performance scaling and AFC system modeling. Estimating the momentum coefficient accurately through experiments is not trivial.... 展开 The momentum coefficient is the most commonly used performance parameter for active flow control (AFC) performance scaling and AFC system modeling. Estimating the momentum coefficient accurately through experiments is not trivial. Several approaches exist to estimate the momentum coefficient in laboratory conditions. However, the question arises whether these models hold as ambient and supply conditions change during operation in flight. Therefore, computational fluidic dynamic (CFD) simulations were carried out on an exemplary AFC actuator (i.e., fluidic oscillator) in a quiescent environment with supply pressure ratios ranging from 1.5 to 4, supply temperatures at 293K and 800K, and ambient altitude conditions at sea level and 10km. When scaled with T_(sup)~(1/2)/P_∞ the mass flow for different conditions collapses as a function of pressure ratio. Furthermore, the momentum coefficient collapses when scaled with 1/P∞. The existing models to calculate the momentum coefficient hold for changing ambient and supply conditions. Therefore, these models in conjunction with scaling parameters can be employed during operation of an AFC system during flight with changing conditions in order to provide a desired momentum output. The paper discusses details of the CFD results and the derivation of the scaling parameters. 收起