Robust design of compressor blades against manufacturing variations


Kumar, A., Keane, A.J., Nair, P.B. and Shahpar, S. (2006) Robust design of compressor blades against manufacturing variations In Proceedings of the 2006 ASME International Design Engineering Technical Conferences & Computers and Information In Engineering Conference (IDETC/CIE 2006). American Society of Mechanical Engineers. 14 pp.

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Description/Abstract

The aim of this paper is to develop and illustrate an efficient methodology to design blades with robust aerodynamic performance in the presence of manufacturing uncertainties. A novel geometry parametrization technique is developed to represent manufacturing variations due to tolerancing. A Gaussian Stochastic Process Model is trained using DOE techniques in conjunction with a high fidellity CFD solver. Bayesian Monte Carlo Simulation is then employed to obtain the statistics of the performance at each design point. A multiobjective optimizer s used to search the design space for robust designs. The multiobjective formulation allows explicit trade-off between the mean and variance of the performance. A design, selected from the robust design set is compared with a deterministic optimal design. The results demonstrate an effective method to obtain compressor blade designs which have reduced sensitivity to manufacturing variations with significant savings in computational effort.

Item Type: Conference or Workshop Item (Paper)
Venue - Dates: Proceedings of the 2006 ASME International Design Engineering Technical Conferences & Computers and Information In Engineering Conference (IDETC/CIE 2006), 2006-09-10 - 2006-09-13
Related URLs:
Keywords: Robust design, multiobjective optimization, surrogate modeling, compressor blades, manufacturing tolerances
Subjects: T Technology > TS Manufactures
Q Science > QA Mathematics
T Technology > TL Motor vehicles. Aeronautics. Astronautics
ePrint ID: 41995
Date :
Date Event
2006Published
Date Deposited: 25 Oct 2006
Last Modified: 16 Apr 2017 18:55
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/41995

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