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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Drop count and size of 38 numerical simulation of a flat fan spray

Authors: Traverso, Tullio; Abadie, Thomas; Matar, Omar K.; Magri, Luca;

Drop count and size of 38 numerical simulation of a flat fan spray

Abstract

Data refer to the drop size distribution used in the paper "Data-driven modelling for drop size distributions" by T. Traverso, T. Abadie, O. K. Matar, and L. Magri (arXiv link: https://arxiv.org/abs/2305.18049) Each of the 38 .csv file in this folder is associated with a different working condition of the nozzle. Specifically, the name 'alpha##_Re##_We##.csv' contains the working condition of the nozzle as - alpha## (## is the spray angle) - Re## (## is the Reynolds number) - We## (## is the Weber number) Each file contains as many raws as the number of drops. In the i-th raw, 1) the first element is the Volume of the i-th drop; 2) the second element is the estimated surface of the i-th drop with the method in equation (18) of [1]; 3) the third element is the equivalent diameter of the i-th drop (i.e., as if it was spherical - computed from the volume) The value of the Weber number found in the Arxiv paper is half of that reported here. The correct one is the one in this database. The paper will be corrected in due time.

{"references": ["Traverso, T., Abadie, T., Matar, O. K., & Magri, L. (2023). Data-driven modelling for drop size distributions. arXiv preprint arXiv:2305.18049."]}

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Keywords

Basilisk, drop size distribution

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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