Synthetic Jet Flowfield Database for Computational Fluid Dynamics Validation

Heat transfer enhancement in microchannels with cross-flow synthetic jets

“…The model validation for the present simulation was carried out by developing a separate synthetic jet model by altering the micro-scale domain dimensions to match the published work involving mini-scale geometries of Yao et al [22]. These results were extensively incorporated in NASA Langley Research Centre Workshop (CFDVAL2004) [23] in assessing suitability of turbulence models for synthetic jet flows.…”

“…5, the predicted axial (y-velocity) was compared with the experimental jet velocities measured by Yao et al [22] using the techniques of Particle Image Velocimetry (PIV), Hot wire anemometry and Laser Doppler Velocimetry (LDV). It is clearly seen that the present simulation agrees very well with the experimental data validating the model and its accuracy.…”

Successes and Challenges for Flow Control Simulations

“…In the experiments for the workshop, an effort was made to take duplicate measurements using different techniques; this duplication highlighted the uncertainties inherent in the measurements. [1][2][3][4][5] A summary of the workshop results can be found in Rumsey et al 6 Overall, one of the general conclusions was that CFD was only able to qualitatively predict synthetic jet flow physics, but some of this inability to achieve consistent quantitative predictions resulted from significant uncertainty regarding how to best model the unsteady boundary conditions that are always required for such flows. An important need identified was for building-block synthetic jet experiments to focus more on obtaining extremely detailed data at and near slot or orifice exits.…”

Synthetic Jet-Based Hybrid Heat Sink for Electronic Cooling

“…The model validation for the present simulation was carried out by formulating a separate synthetic jet model to match the dimensions used in the published work of (Yao et al, 2006). These results were extensively incorporated in NASA Langley Research Centre Workshop (CFDVAL2004) in assessing the suitability of turbulence models for synthetic jet flows.…”

“…The results of this workshop concluded that the Shear-Stress-Transport (SST) k-ω turbulence model works best among the URANS models for jet flows. For validation, the predicted axial (y-velocity) was compared with the experimental jet velocities measured by (Yao et al, 2006) using the techniques of Particle Image Velocimetry (PIV), Hot wire anemometry and Laser Doppler Velocimetry (LDV). This comparison is shown in Fig.…”