elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Contact | Deutsch
Fontsize: [-] Text [+]

Automated multiobjective optimisation in axial compressor blade design

Voss, Christian and Aulich, Marcel and Kaplan, Burak and Nicke, Eberhard (2006) Automated multiobjective optimisation in axial compressor blade design. In: ASME Turbo Expo 2006: Power for Land Sea and Air (GT2006-90420). ASME Turbo Expo 2006: Power for Land Sea and Air, 2006-05-08, Barcelona, Spanien.

Full text not available from this repository.

Official URL: http://www.asme.org

Abstract

This paper presents an automated multiobjective design methodology for the aerodynamic optimisation of turbomachinery blades. In this approach several operating-points of the compressor are considered and the flow-characteristics of the different flow-solutions are combined to one or more objective functions. The optimisation strategy is based on multiobjective asynchronous evolutionary algorithms (MOEA’S) which are accelerated using additive local neural networks and kriging procedures. Common operators: Mutation, Crossover and Differential-Evolution are used to create a new population. In addition to these common operators the optimisation runs temporarily on the response-surface created by the neural networks and/or kriging-processes respectively. Only the Pareto-optimal solutions obtained from this metamodel are evaluated using the numerical expensive flow-solver. Therefore, the response-surface is just a new operator that creates auspicious members. One of the main differences between the presented code to usual and traditional MOEA’S is the selection of parents. While traditional codes choose potential parents of a new population from the previous population, the current method selects parents from the database of all evaluated members. This approach allows the user to run the optimisation asynchronously and with a smaller size of population, treducing numerical costs, without influencing the diversity of the optimal solutions over the whole Pareto-front. This aspect is very important when evaluating very complex and/or discontinuous fronts.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:Automated multiobjective optimisation in axial compressor blade design
Authors:
AuthorsInstitution or Email of Authors
Voss, ChristianUNSPECIFIED
Aulich, MarcelUNSPECIFIED
Kaplan, BurakUNSPECIFIED
Nicke, EberhardUNSPECIFIED
Date:7 January 2006
Journal or Publication Title:ASME Turbo Expo 2006: Power for Land Sea and Air
Refereed publication:Yes
In ISI Web of Science:No
Editors:
EditorsEmail
ASME, UNSPECIFIED
Status:Published
Keywords:optimization, genetic algorithm, profile design, multiobjective, pareto front
Event Title:ASME Turbo Expo 2006: Power for Land Sea and Air
Event Location:Barcelona, Spanien
Event Type:international Conference
Event Dates:2006-05-08
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignement
DLR - Program:no assignment
DLR - Research theme (Project):other
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Fan and Compressor
Deposited By: Rosemarie Fox
Deposited On:26 Jun 2007
Last Modified:15 Jan 2010 00:54

Repository Staff Only: item control page

Browse
Search
Help & Contact
Informationen
electronic library is running on EPrints 3.3.12
Copyright © 2008-2012 German Aerospace Center (DLR). All rights reserved.