Learning-Based Manufacturing Deviation Estimation for Robust Computer-Aided Design
Seiten
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.
| Erscheinungsdatum | 11.01.2023 |
|---|---|
| Reihe/Serie | Berichte aus der Luft- und Raumfahrttechnik |
| Verlagsort | Düren |
| Sprache | englisch |
| Maße | 148 x 210 mm |
| Gewicht | 227 g |
| Themenwelt | Technik ► Luft- / Raumfahrttechnik |
| Schlagworte | CAD • machine learning • Manufacturing Deviation • Robust Design • Turbine blade |
| ISBN-10 | 3-8440-8904-7 / 3844089047 |
| ISBN-13 | 978-3-8440-8904-2 / 9783844089042 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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