H2020 ENODISE: GPUP Configuration B Numerical Databases with Mitigation

This dataset contains the numerical prediction for A2 configuration as defined in the H2020 ENODISE project (https://www.vki.ac.be/index.php/about-enodise)

The dataset corresponds to the Band-Limited Overall Sound Pressure Level (BL OASPL) measurements obtained for Configuration B, focusing on the acoustic performance of propellers under different configurations. Two main setups were tested:

Propeller without Serrations: This configuration represents the baseline case where the propeller operates without any modifications to its trailing edge.

Propeller with Serrations: This configuration represents the case where the propeller operates with serrations at the trailing edge of the propeller.

Setup 

Rotors: The setup involves three rotors:

Rotor_C (Central Rotor)

Rotor_L (Left Rotor)

Rotor_R (Right Rotor)

The Left and Right Rotors (Rotor_L and Rotor_R) are fixed at a position of x = -0.22m.

Axial Locations and Phase Angles: The central rotor (Rotor_C) was moved in the axial direction, and three distinct setups were investigated:

Baseline Case (Δx = 0Db): Rotor_C located at x = -0.22m.

Forward Case (Δx = -0.2Db): Rotor_C moved forward to x = -0.26m.

Backward Case (Δx = +0.2Db): Rotor_C moved backward to x = -0.18m.

For each axial location, four phase angles were tested: 0°, 45°, 90°, 135°.

Dataset :

Total Simulations:

Each propeller configuration (serrated and non-serrated) was tested under the three axial locations and four phase angles, resulting in a total of 12 simulations for each setup.

This results in 24 simulations (12 simulations with serrations + 12 simulations without serrations) across all configurations.

Measured Parameters:

Area-averaged Bandlimited Prms: The overall sound pressure level averaged over the area, given in both linear scale and converted to decibels (dB).

Maximum Bandlimited Prms: The maximum sound pressure level observed within the band, also provided in both linear scale and dB.

Script

Python script is provided which converts original dataset to log scale