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Catalogue : Details

José Mauricio Urbano Caguasango

Learning-Based Manufacturing Deviation Estimation for Robust Computer-Aided Design

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ISBN:978-3-8440-8904-2
Series:Luft- und Raumfahrttechnik
Keywords:CAD; Machine Learning; Robust Design; Turbine Blade; Manufacturing Deviation
Type of publication:Thesis
Language:English
Pages:154 pages
Figures:63 figures
Weight:240 g
Format:21 x 14,8 cm
Bindung:Paperback
Price:48,80 € / 61,10 SFr
Published:January 2023
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Abstract:Surface variations are an unavoidable byproduct of any manufacturing process and may lead to deviating part performance and even elevated part rejection rates. Because traditional computer aided-design approaches are aimed towards production of idealized, nominal geometric shapes, the wide geometric and—statistical—variability typical for any manufacturing process remains unrepresented and is frequently ignored during design. Thus, the present work aims at a more realistic design approach and, therefore, develops a collection of computer-aided design strategies for accurate representation, statistical analysis and prospective estimation of surface deviations with validation examples on aeroengine turbine blades.