2010
Cavazzini, Giovanna; Pavesi, Giorgio; Ardizzon, Guido
Validation of an analysis method for particle image velocimetry of turbulent unsteady flows in turbomachinery Journal Article
In: Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 224, iss. 5, pp. 679-689, 2010, ISSN: 09576509.
Abstract | Links | BibTeX | Tags: density function, goodness-of-fit test, particle image velocimetry, probability, probability density function, statistical analysis, Turbomachinery, unsteady flow fields
@article{pop00032,
title = {Validation of an analysis method for particle image velocimetry of turbulent unsteady flows in turbomachinery},
author = {Giovanna Cavazzini and Giorgio Pavesi and Guido Ardizzon},
url = {http://pia.sagepub.com/content/224/5/679.abstract http://journals.sagepub.com/doi/10.1243/09576509JPE889},
doi = {10.1243/09576509JPE889},
issn = {09576509},
year = {2010},
date = {2010-01-01},
urldate = {2010-01-01},
journal = {Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy},
volume = {224},
issue = {5},
pages = {679-689},
publisher = {pia.sagepub.com},
abstract = {This paper presents a post-processing analysis that combines several statistical tools to validate experimental results in a particle image velocimetry analysis on unsteady flows in the turbomachinery field. The method was developed in three steps: verification of the number of acquired images, verification ofthe meaningfulness ofthe velocity averages, and identification of the zones characterized by the greatest error on the average estimation. The statistical approach allows one to identify the possible error sources, discriminating between experimental problems due to the test rig, the turbulent nature of the flow, and structures unidentifiable by a single frequency.},
keywords = {density function, goodness-of-fit test, particle image velocimetry, probability, probability density function, statistical analysis, Turbomachinery, unsteady flow fields},
pubstate = {published},
tppubtype = {article}
}
This paper presents a post-processing analysis that combines several statistical tools to validate experimental results in a particle image velocimetry analysis on unsteady flows in the turbomachinery field. The method was developed in three steps: verification of the number of acquired images, verification ofthe meaningfulness ofthe velocity averages, and identification of the zones characterized by the greatest error on the average estimation. The statistical approach allows one to identify the possible error sources, discriminating between experimental problems due to the test rig, the turbulent nature of the flow, and structures unidentifiable by a single frequency.
1999
Ardizzon, Guido; Pavesi, Giorgio
Modelli di Perdita nelle Turbomacchine, Previsione delle Prestazioni e Verifica Sperimentale Proceedings Article
In: 54° Congresso Nazionale ATI, pp. 1397-1408, SGE - Padova, 1999.
Abstract | BibTeX | Tags: Losses, Off-Design, Pump, Turbine, Turbomachinery
@inproceedings{Ardizzon1999,
title = {Modelli di Perdita nelle Turbomacchine, Previsione delle Prestazioni e Verifica Sperimentale},
author = {Guido Ardizzon and Giorgio Pavesi},
year = {1999},
date = {1999-01-01},
urldate = {1999-01-01},
booktitle = {54° Congresso Nazionale ATI},
pages = {1397-1408},
publisher = {SGE - Padova},
abstract = {A performance prediction procedure is presented toghere with a review of loss models given in literature. Some of the original loss correlations have been modified so as to make them more directly applicable to low flow rate operation. At off-design conditions the mismatching of impeller and volute causes to vary velocity and pressure round the periphery of the impeller. This contributes significantly to the magnitude of the energy losses in the volute. The non-uniformity of the flow in the volute is taken into account by an unsteady one-dimensional method. Notwithstanding the several simplifying assumptions the results of the head capacity curve calculation agree well with the experimental results almost all over the range of operating conditions. Finelly the model supplies a basis for selecting the of parameters for optimal design of pumps in which both the maximum efficiency and the head shape are important design parameter.},
keywords = {Losses, Off-Design, Pump, Turbine, Turbomachinery},
pubstate = {published},
tppubtype = {inproceedings}
}
A performance prediction procedure is presented toghere with a review of loss models given in literature. Some of the original loss correlations have been modified so as to make them more directly applicable to low flow rate operation. At off-design conditions the mismatching of impeller and volute causes to vary velocity and pressure round the periphery of the impeller. This contributes significantly to the magnitude of the energy losses in the volute. The non-uniformity of the flow in the volute is taken into account by an unsteady one-dimensional method. Notwithstanding the several simplifying assumptions the results of the head capacity curve calculation agree well with the experimental results almost all over the range of operating conditions. Finelly the model supplies a basis for selecting the of parameters for optimal design of pumps in which both the maximum efficiency and the head shape are important design parameter.
