Work

Dynamic mode decomposition of inertial particle caustics in Taylorâ��Green flow

Year: 2021

Type: article

Abstract: Inertial particles advected by a background flow can show complex structures. We consider inertial particles in a 2D Taylorâ��Green (TG) flow and characterize particle dynamics as a function of the particleâ��s Stokes number using dynamic mode decomposition (DMD) method from particle image velocimetry (PIV) like-data. We observe the formation of caustic structures and analyze them using DMD to (a) determine the Stokes number of the particles, and (b) estimate the particle Stokes number composition. Our analysis in this idealized flow will provide useful insight to analyze inertial particles in more complex or turbulent flows. We propose that the DMD technique can be used to perform similar analysis on an experimental system. Â© 2021, The Author(s).

Source: NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)

DOI: 10.1038/s41598-021-89953-3

Authors: Samant, O, Alageshan, JK, Sharma, S, Kuley, A

Institutions: University of Warwick, Indian Institute of Science Bangalore, Institute for Plasma Research

Language: English

Topic: Particle Dynamics in Fluid Flows

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Indian Institute of Science, Infosys Foundation, Science and Engineering Research Board, Board of Research in Nuclear Sciences

Awards: G4038740001, G7295188927