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dc.contributor.authorVan Antwerpen, H.J.
dc.contributor.authorRousseau, P.G.
dc.contributor.authorDu Toit, C.G.
dc.date.accessioned2017-02-28T13:26:20Z
dc.date.available2017-02-28T13:26:20Z
dc.date.issued2010
dc.identifier.citationVan Antwerpen, H.J. et al. 2010. The extraction of the temperature gradient from measured temperature profiles with uncertainty propagation, as applied to the high temperature test unit. 7th South African Conference on Computational and Applied Mechanics (SACAM), 10-13 Jan, Pretoria, South Africa: 450-459. [http://toc.proceedings.com/24735webtoc.pdf]en_US
dc.identifier.isbn978-1-63439-714-8
dc.identifier.urihttp://hdl.handle.net/10394/20627
dc.identifier.urihttp://toc.proceedings.com/24735webtoc.pdf
dc.description.abstractThis paper highlights the usefulness of applying analytical methods for uncertainty analysis to a least-squares polynomial fit. It also presents an equation to calculate the confidence interval in the slope of a regression polynomial. The specific area of application is the determination of the temperature gradient as a function of position from a set of temperature measurements on a packed bed of spheres. Using the derivative of the regression polynomial was found to be the most accurate way to calculate the temperature gradient. An uncertainty analysis was used to relate the uncertainty in the predicted value to the regression errors and to the experimental uncertainty
dc.language.isoenen_US
dc.publisherSAAMen_US
dc.titleThe extraction of the temperature gradient from measured temperature profiles with uncertainty propagation, as applied to the high temperature test uniten_US
dc.typePresentationen_US
dc.contributor.researchID10184600 - Du Toit, Charl Gabriel De Kock
dc.contributor.researchID10199365 - Rousseau, Pieter Gerhardus
dc.contributor.researchID11681292 - Van Antwerpen, Hermanus Johannes


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