Uncertainty analysis in turbomachine and cascade testing
The analysis of experimental uncertainties is generally accepted today as an important part of the reporting of test results, and although the debate continues concerning the best methods of estimating and presenting uncertainties, the common practices are widely recognized and understood. In this p...
Main Authors: | , , |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado: |
Gulf Publishing Company
1991
|
Subjects: |
_version_ | 1826304768456261632 |
---|---|
author | Baines, N Mee, D Oldfield, M |
author_facet | Baines, N Mee, D Oldfield, M |
author_sort | Baines, N |
collection | OXFORD |
description | The analysis of experimental uncertainties is generally accepted today as an important part of the reporting of test results, and although the debate continues concerning the best methods of estimating and presenting uncertainties, the common practices are widely recognized and understood. In this paper we examine critically the accepted methods for analyzing uncertainties. Our concern, however, is not simply with the estimation and reporting of experimental uncertainties, but with their active use in planning and setting up experiments and tests to optimize the instrumentation and test procedures for best quality (minimum uncertainty) data. Using the techniques developed, it is possible for any given experimental arrangement to optimize measurement techniques for minimum uncertainty. This has been demonstrated in critical turbine cascade data, where improvements up to an order of magnitude have been achieved. In the measurement of blade profile loss it has been found necessary to measure some pressures, such as the inlet total pressure, to an order of magnitude better accuracy than others. The analysis is developed and results are presented for turbomachine and blade cascade testing, but the principles are generally applicable. |
first_indexed | 2024-03-07T06:22:47Z |
format | Journal article |
id | oxford-uuid:f33c777e-4c78-4a4c-8ab9-14e70d2ad436 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T06:22:47Z |
publishDate | 1991 |
publisher | Gulf Publishing Company |
record_format | dspace |
spelling | oxford-uuid:f33c777e-4c78-4a4c-8ab9-14e70d2ad4362022-03-27T12:10:35ZUncertainty analysis in turbomachine and cascade testingJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f33c777e-4c78-4a4c-8ab9-14e70d2ad436Engineering & allied sciencesEnglishOxford University Research Archive - ValetGulf Publishing Company1991Baines, NMee, DOldfield, MThe analysis of experimental uncertainties is generally accepted today as an important part of the reporting of test results, and although the debate continues concerning the best methods of estimating and presenting uncertainties, the common practices are widely recognized and understood. In this paper we examine critically the accepted methods for analyzing uncertainties. Our concern, however, is not simply with the estimation and reporting of experimental uncertainties, but with their active use in planning and setting up experiments and tests to optimize the instrumentation and test procedures for best quality (minimum uncertainty) data. Using the techniques developed, it is possible for any given experimental arrangement to optimize measurement techniques for minimum uncertainty. This has been demonstrated in critical turbine cascade data, where improvements up to an order of magnitude have been achieved. In the measurement of blade profile loss it has been found necessary to measure some pressures, such as the inlet total pressure, to an order of magnitude better accuracy than others. The analysis is developed and results are presented for turbomachine and blade cascade testing, but the principles are generally applicable. |
spellingShingle | Engineering & allied sciences Baines, N Mee, D Oldfield, M Uncertainty analysis in turbomachine and cascade testing |
title | Uncertainty analysis in turbomachine and cascade testing |
title_full | Uncertainty analysis in turbomachine and cascade testing |
title_fullStr | Uncertainty analysis in turbomachine and cascade testing |
title_full_unstemmed | Uncertainty analysis in turbomachine and cascade testing |
title_short | Uncertainty analysis in turbomachine and cascade testing |
title_sort | uncertainty analysis in turbomachine and cascade testing |
topic | Engineering & allied sciences |
work_keys_str_mv | AT bainesn uncertaintyanalysisinturbomachineandcascadetesting AT meed uncertaintyanalysisinturbomachineandcascadetesting AT oldfieldm uncertaintyanalysisinturbomachineandcascadetesting |