Efficient robust design for manufacturing process capability


Kumar, A., Keane, A.J., Nair, P.B. and Shaphar, S. (2006) Efficient robust design for manufacturing process capability. In, 6th ASMO-UK/ISSMO International Conference on Engineering Design Opimization, Oxford, UK, 03 - 04 Jul 2006. UK, 8pp, 242-250.

Download

[img]
Preview
PDF - Post print
Download (2066Kb)

Description/Abstract

The presence of process variations in manufacturing any product is inevitable. Manufacturing variations can result in performance loss, high scrap, rdesign and product failure. This paper proposes a methodology for robust design against manufacturing process variations. The proposed method is employed to seek compressor blade designs which ahve less sensitive aerodynamic performance in presence of manufacturing uncertainties. A novel geometry modeling technique is presented to model the manufacturing uncertainty in compressor blades. A Gaussian Stochastic Process Model is employed as a surrogate to the expensive CFD simulations. The probabilistic performance of each design is evaluated using Bayesian Monte Carlo Simulation. This is combined with a Multiobjective Optimization process to allow explicit trade-off between the mean and standard deviation of the performance. The aim is to provide the designer with a Pareto-Optimal robust design set to choose the design which meets the performance specifications in presence of manufacturing uncertainty.

Item Type: Conference or Workshop Item (Paper)
Related URLs:
Keywords: robust design, bayesian monte carlo, manufacturing variations, process capability, compressor blades
Subjects: T Technology > TS Manufactures
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: University Structure - Pre August 2011 > School of Engineering Sciences > Computational Engineering and Design
ePrint ID: 41999
Date Deposited: 27 Oct 2006
Last Modified: 27 Mar 2014 18:26
URI: http://eprints.soton.ac.uk/id/eprint/41999

Actions (login required)

View Item View Item

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics