Datasets

subject: Aeronautics and Astronautics Engineering date: 2021

Total is 3 Results
Urban Air Mobility Vehicle Dataset

10.4231/2XTS-M551

Apoorv Maheshwari ORCID logo , Brandon E Sells , Daniel A. Delaurentis ORCID logo , Ethan Charles Wright , Nicholas I. Gunady , Ryan James Howard ORCID logo , Sai V Mudumba ORCID logo , William A Crossley ORCID logo

06/18/2021

A wide array of electric vertical takeoff and landing (eVTOL) vehicles are in various stages of development with the goal of serving Urban Air Mobility (UAM) missions. This dataset describes emerging eVTOL vehicles' characteristics.

advanced air mobility Aeronautics and Astronautics Engineering aerospace engineering aircraft design aviation Economics engineering mobility technology transportation urban air mobility vertical takeoff and landing

Dot tracking methodology for background-oriented schlieren (BOS)

10.4231/X101-WK63

Lalit Rajendran ORCID logo , Pavlos Vlachos ORCID logo , Sally P M Bane

05/18/2021

A dot tracking method to process BOS images that improves the accuracy, precision, and spatial resolution of the measurements

Aeronautics and Astronautics Engineering background oriented schlieren image processing Matlab particle tracking velocimetry

Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

10.4231/D2FC-N191

Jiacheng Zhang ORCID logo , Lalit Rajendran ORCID logo , Pavlos Vlachos ORCID logo , Sally P M Bane , Sayantan Bhattacharya

05/18/2021

We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...

Aeronautics and Astronautics Engineering background oriented schlieren Numerical Analysis Python uncertainty quantification

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