NDLI: Multidisciplinary multiobjective optimal design for turbomachinery using evolutionary algorithm

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Multidisciplinary multiobjective optimal design for turbomachinery using evolutionary algorithm

Content Provider	NASA Technical Reports Server (NTRS)
Copyright Year	2005
Description	This report summarizes Dr. Lian s efforts toward developing a robust and efficient tool for multidisciplinary and multi-objective optimal design for turbomachinery using evolutionary algorithms. This work consisted of two stages. The first stage (from July 2003 to June 2004) Dr. Lian focused on building essential capabilities required for the project. More specifically, Dr. Lian worked on two subjects: an enhanced genetic algorithm (GA) and an integrated optimization system with a GA and a surrogate model. The second stage (from July 2004 to February 2005) Dr. Lian formulated aerodynamic optimization and structural optimization into a multi-objective optimization problem and performed multidisciplinary and multi-objective optimizations on a transonic compressor blade based on the proposed model. Dr. Lian s numerical results showed that the proposed approach can effectively reduce the blade weight and increase the stage pressure ratio in an efficient manner. In addition, the new design was structurally safer than the original design. Five conference papers and three journal papers were published on this topic by Dr. Lian.
File Size	459109
Page Count	6
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_20050185214
Archival Resource Key	ark:/13960/t2n63h92n
Language	English
Publisher Date	2005-01-01
Access Restriction	Open
Subject Keyword	Aircraft Propulsion And Power Compressor Blades Transonic Compressors Weight Reduction Pressure Ratio Turbomachinery Systems Integration Optimization Genetic Algorithms Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Technical Report

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