Year: 2024
Type: preprint
Abstract: The development of accurate, efficient, and high-resolution velocimetry algorithms to extract velocity fields from particle images is an active area of research. However, the methods in development are typically tested and benchmarked on synthetic data that might be too simplistic when compared to real turbulent fluid flows in nature. Therefore, the methods might perform well on the simplistic ideal test cases, but may fail in the case of real turbulent fluid flows where large velocity gradients, wide range of particle motion, out-of-plane particle displacements, etc. may be present. This report presents synthetic particle images generated from various different direct numerical simulation (DNS) of turbulent fluid flows. Five different DNS flows are considered. The datasets have been made publicly available.
Source: OSF Preprints (OSF Preprints)
Authors: Gauresh Raj Jassal, Bryan Eric Schmidt
Institution: Case Western Reserve University
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4405917093