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Capture of manufacturing uncertainty in turbine blades through probabilistic techniques

Thakur, Nikita, Keane, Andy and Nair, Prasanth B. (2008) Capture of manufacturing uncertainty in turbine blades through probabilistic techniques At 7th ASMO-UK/ISSMO International Conference on Engineering Design Optimization. 07 - 08 Jul 2008. 10 pp.

Record type: Conference or Workshop Item (Paper)


Efficient designing of the turbine blades is critical to the performance of an aircraft engine. An area of significant research interest is the capture of manufacturing uncertainty in the shapes of these turbine blades. The available data used for estimation of this manufacturing uncertainty inevitably contains the effects of measurement error/noise. In the present work, we propose the application of Principal Component Analysis (PCA) for de-noising the measurement data and quantifying the underlying manufacturing uncertainty. Once the PCA is performed, a method for dimensionality reduction has been proposed which utilizes prior information available on the variance of measurement error for different measurement types. Numerical studies indicate that approximately 82% of the variation in the measurements from their design values is accounted for by the manufacturing uncertainty, while the remaining 18% variation is filtered out as measurement error.

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Published date: 8 July 2008
Venue - Dates: 7th ASMO-UK/ISSMO International Conference on Engineering Design Optimization, 2008-07-07 - 2008-07-08


Local EPrints ID: 64276
PURE UUID: 5466908e-7fe8-4eca-a1b1-14d1dfec982f

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Date deposited: 06 Jan 2009
Last modified: 17 Jul 2017 14:13

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Author: Nikita Thakur
Author: Andy Keane
Author: Prasanth B. Nair

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