Probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.
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Format: | Thesis |
Sprog: | eng |
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Massachusetts Institute of Technology
2007
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Online adgang: | http://dspace.mit.edu/handle/1721.1/35570 http://hdl.handle.net/1721.1/35570 |
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author | Moeckel, Curtis William |
author2 | David L. Darmofal. |
author_facet | David L. Darmofal. Moeckel, Curtis William |
author_sort | Moeckel, Curtis William |
collection | MIT |
description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006. |
first_indexed | 2024-09-23T08:18:47Z |
format | Thesis |
id | mit-1721.1/35570 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T08:18:47Z |
publishDate | 2007 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/355702019-04-09T17:52:42Z Probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs Moeckel, Curtis William David L. Darmofal. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Includes bibliographical references (p. 73-75). Manufacturing variability is likely the primary cause of a large scatter in the life of gas turbine hot-section components. This research deals with schemes to improve robustness through tolerancing input parameters in ranges of the distributions which make non-conformances more likely. The need for probabilistic analysis to investigate this problem is substantiated due to differences which arise when input parameters vary at different levels, for example the engine-to-engine and blade-to-blade level. Specifically, the importance of blade-to-blade level input parameters relative to engine-to-engine level input parameters becomes increasingly important for larger numbers of blades in a row. A framework for calculating the potential number of prevented non-conformances and the corresponding cost savings associated with various tolerancing schemes is presented. Specifically this research investigates manufacturing variability and its effect on first-stage turbine blades through the use of a parametric CAD model, automated CAD regeneration software, and a parametric finite element thermal model. Probabilistic analysis is performed using Monte Carlo simulation on both the finite element model as well as response surfaces built from the finite element model. (cont.) Blade-to-blade cooling flow variability, especially as a result of film-hole diameter variability in critical locations is identified as the most likely candidate for parameter tolerancing. More promising is a combined two-factor tolerancing scheme which additionally tolerances gas path temperature. by Curtis William Moeckel. S.M. 2007-05-16T15:22:18Z 2007-05-16T15:22:18Z 2006 2006 Thesis http://dspace.mit.edu/handle/1721.1/35570 http://hdl.handle.net/1721.1/35570 74277730 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/35570 http://dspace.mit.edu/handle/1721.1/7582 75 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Aeronautics and Astronautics. Moeckel, Curtis William Probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs |
title | Probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs |
title_full | Probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs |
title_fullStr | Probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs |
title_full_unstemmed | Probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs |
title_short | Probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs |
title_sort | probabilistic turbine blade thermal analysis of manufacturing variability and toleranced designs |
topic | Aeronautics and Astronautics. |
url | http://dspace.mit.edu/handle/1721.1/35570 http://hdl.handle.net/1721.1/35570 |
work_keys_str_mv | AT moeckelcurtiswilliam probabilisticturbinebladethermalanalysisofmanufacturingvariabilityandtoleranceddesigns |