Corresponding Flow article DOI: 10.1017/flo.2022.11 published in the Flow journal. This is the dataset corresponding to the case study published in the Flow journal with the same title. The investigation considers experiments on a NACA0012 wing for which the surface flow was visualised with tufts while the lift coefficient was measured. A data driven approach to estimating the angle of attack for the formation of stall cells is presented and evaluated. The Data includes: -readme.txt: the same as the readme.pdf, with the general explanation of the dataset and corresponding paper. - workspace_plot_code.mat: this is a Matlab workspace file containing the data which supports the research from the paper. - plot_code.m: this is a Matlab ...
Flow visualization information and time dependent pressure coefficients were recorded for the flow o...
This data was used to reproduce the paper titled: "Characterisation of drag and wake properties...
Stall is traditionally divided in three types of stall behaviour, these have been regarded as two di...
Corresponding Flow article DOI: 10.1017/flo.2022.11 published in the Flow journal. This is the da...
Corresponding Flow article DOI: 10.1017/flo.2022.11 published in the Flow journal. This is the da...
This is the dataset that contains the data that are presented in the figures in the following paper:...
This is the dataset that contains the data that are presented in the figures in the following paper:...
This is the dataset that contains the data that are presented in the figures in the following paper:...
Datase to support article "Data-driven sparse reconstruction of flow over a stalled aerofoil us...
This is the dataset that contains the data that are presented in the figures in the following paper:...
Datase to support article "Data-driven sparse reconstruction of flow over a stalled aerofoil us...
Datase to support article "Data-driven sparse reconstruction of flow over a stalled aerofoil us...
The present paper is the second part of a combined (experimental and computational) study on stall c...
Dataset in support of the article Data-driven determination of low-frequency dipole noise mechanisms...
This dataset presents the experimental data described in: Tim Berk and Bharathram Ganapathisubra...
Flow visualization information and time dependent pressure coefficients were recorded for the flow o...
This data was used to reproduce the paper titled: "Characterisation of drag and wake properties...
Stall is traditionally divided in three types of stall behaviour, these have been regarded as two di...
Corresponding Flow article DOI: 10.1017/flo.2022.11 published in the Flow journal. This is the da...
Corresponding Flow article DOI: 10.1017/flo.2022.11 published in the Flow journal. This is the da...
This is the dataset that contains the data that are presented in the figures in the following paper:...
This is the dataset that contains the data that are presented in the figures in the following paper:...
This is the dataset that contains the data that are presented in the figures in the following paper:...
Datase to support article "Data-driven sparse reconstruction of flow over a stalled aerofoil us...
This is the dataset that contains the data that are presented in the figures in the following paper:...
Datase to support article "Data-driven sparse reconstruction of flow over a stalled aerofoil us...
Datase to support article "Data-driven sparse reconstruction of flow over a stalled aerofoil us...
The present paper is the second part of a combined (experimental and computational) study on stall c...
Dataset in support of the article Data-driven determination of low-frequency dipole noise mechanisms...
This dataset presents the experimental data described in: Tim Berk and Bharathram Ganapathisubra...
Flow visualization information and time dependent pressure coefficients were recorded for the flow o...
This data was used to reproduce the paper titled: "Characterisation of drag and wake properties...
Stall is traditionally divided in three types of stall behaviour, these have been regarded as two di...