Optimization of a PIV Based Study Using Maximum Work Potential and Design of Experiments Techniques

Author(s)

Dan Stanley, Boeing
John Doty, University of DaytonFollow
Aaron Altman, University of DaytonFollow

Document Type

Conference Paper

Publication Date

1-2010

Publication Source

48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

Abstract

A new metric for the design and analysis of particle image velocimetry (PIV) experiments is presented. This metric utilizes the theory of maximum work potential (exergy destruction minimization) and statistical regressions of the experimental data in order to obtain a model of the experimental parameter space. With this model, estimates of any number of desired outputs can be made given any value for the inputs.

This model is also able to estimate the value of the inputs necessary to produce a given, or required, level of the output(s). Current metrics, such as Reynolds number and formation parameter, are unable to produce such results. An example case study is then performed as part of this work in order to give a practical application of the proposed metric.

ISBN/ISSN

978-1-60086-959-4

Comments

Permission documentation is on file.

Copyright

Copyright © 2010, American Institute of Aeronautics and Astronautics

Publisher

American Institute of Aeronautics and Astronautics

Place of Publication

Orlando, FL

eCommons Citation

Stanley, Dan; Doty, John; and Altman, Aaron, "Optimization of a PIV Based Study Using Maximum Work Potential and Design of Experiments Techniques" (2010). Mechanical and Aerospace Engineering Faculty Publications. 100.
https://ecommons.udayton.edu/mee_fac_pub/100