نتایج جستجو برای: ffowcs williams and hawkings
تعداد نتایج: 16828941 فیلتر نتایج به سال:
The current study presents the results of the aerodynamic noise prediction of the flow field around a NACA 0012 airfoil at a chord-based Reynolds number of 100,000 and at 8.4 degree angle of attack. An incompressible Large Eddy Simulation (LES) turbulence model is applied to obtain the instantaneous turbulent flow field. The noise prediction is performed by the Ffowcs Williams and Hawkings (FW-...
Abstract This paper conducts an analytical study on the composite NACA64418 blade. The uses large eddy simulation (LES) method to calculate unsteady flow field of at different inlet velocities, and trend characteristics with velocities was analysed. It found that energy wing increased continuously growth in velocity. However, based lift-to-drag ratio, it is presumed ratio will eventually remain...
Four subgrid-scale models based on large eddy simulation (LES), such as Smagorinsky–Lilly (SL), dynamic (DSL), wall-adapting local eddy-viscosity (WALE), and kinetic-energy transport (KET) were used couple Ffowcs Williams–Hawkings equation to accurately analyze identify the characteristics position of sound sources rod–airfoil interaction. The results four compared with experimental data. It wa...
Rotating cylinders have wide applications in different areas, especially the aerodynamic area. However, the acoustic behaviors of these components have not been widely studied. The generating noise from a spinning cylinder is mainly due to the detached vortices from the leeward of the body. In this study, the large eddy simulation technique is used to simulate the flow field over a three-dimens...
The Ffowcs-Williams and Hawkings acoustic analogy is utilized to reconstruct the signature of two marine propellers with without winglets at tip their blades. database from a large-eddy simulation study exploited conducted on computational grid consisting about 5 × 10 9 points. results this demonstrate that tip-loading propeller successfully improves its performance in terms thrust efficiency p...
This study investigates the numerical prediction for aerodynamic noise of vertical axis wind turbine using large eddy simulation and acoustic analogy. Low designs are required especially in residential areas, sound level generated by is therefore important to estimate. In this paper, incompressible flow field around 12 kW straight-bladed with rotor diameter 6.5 m solved, propagation calculated ...
The noise generated by a quadrotor biplane unmanned aerial system (UAS) is studied computationally for various conditions in terms of the UAS pitch angle, propellers rotating velocity (RPM), and speed to understand physics involved its aeroacoustics structure-borne noise. k-ω SST turbulence model Ffowcs Williams-Hawkings equations are used solve flow acoustics fields, respectively. sound pressu...
An innovative numerical prediction method of flow-induced noise is implemented to overcome the defect that traditional acoustic analogy cannot reflect interaction between turbulence vortex and sound. The classical cylindrical–airfoil interference model used perform simulation compared with experimental results. To start derivation Powell’s sound equation, an implicit three-dimensional fluid–aco...
Adaptive and flexible control techniques have recently been examined as methods of controlling flow reducing the potential noise in vertical axis wind turbines. Two-Dimensional (2D) fluid simulation around rod-airfoil is addressed this study a simple component turbine by using Unsteady Reynolds Averaged Navier–Stokes (URANS) equations for prediction Ffowcs Williams-Hawkings (FW-H) analogy. To r...
Accurate and fast prediction of aerodynamic noise has always been a research hotspot in fluid mechanics aeroacoustics. The conventional methods based on numerical simulation often demand huge computational resources, which are difficult to balance between accuracy efficiency. Here, we present data-driven deep neural network (DNN) method realize while maintaining accuracy. proposed learning can ...
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