Work

Automatic Particle Image Velocimetry Uncertainty Quantification

Year: 2010

Type: conference-paper

Abstract: A method to estimate the uncertainty of each vector in Particle Image Velocimetry measurements by estimating the parameters which contribute to errors in the computed velocity field is discussed. These parameters include particle image diameter, particle density, particle displacement, and velocity gradient. After PIV processing, our code “measures” these parameters and an estimate of the velocity uncertainty is made for each vector in the flow field.

Source: ASME Joint US-European Fluids Engineering Summer Meeting (FEDSM)

DOI: 10.1115/fedsm-icnmm2010-30724

Authors: Benjamin H. Timmins, Barton L. Smith, Pavlos P. Vlachos

Institutions: Utah State University, Virginia Tech

Language: English

Topic: Fluid Dynamics and Turbulent Flows

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2009223805

FWCI: 3.156

Cites: 11

Cited by: 20

Related to: 10