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Aerodynamic wing shape optimization based on the computational design framework CEASIOM
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
2017 (English)In: Aircraft Engineering, ISSN 0002-2667, Vol. 89, no 2, 262-273 p.Article in journal (Refereed) Published
Abstract [en]

Purpose - A collaborative design environment is needed for multidisciplinary design optimization (MDO) process, based on all the modules those for different design/analysis disciplines, and a systematic coupling should be made to carry out aerodynamic shape optimization (ASO), which is an important part of MDO. Design/methodology/approach - Computerized environment for aircraft synthesis and integrated optimization methods (CEASIOM)-ASO is developed based on loosely coupling all the existing modules of CEASIOM by MATLAB scripts. The optimization problem is broken down into small sub-problems, which is called "sequential design approach", allowing the engineer in the loop. Findings - CEASIOM-ASO shows excellent design abilities on the test case of designing a blended wing body flying in transonic speed, with around 45 per cent drag reduction and all the constraints fulfilled. Practical implications - Authors built a complete and systematic technique for aerodynamic wing shape optimization based on the existing computational design framework CEASIOM, from geometry parametrization, meshing to optimization. Originality/value - CEASIOM-ASO provides an optimization technique with loosely coupled modules in CEASIOM design framework, allowing engineer in the loop to follow the "sequential approach" of the design, which is less "myopic" than sticking to gradient-based optimization for the whole process. Meanwhile, it is easily to be parallelized.

Place, publisher, year, edition, pages
Emerald Group Publishing Ltd. , 2017. Vol. 89, no 2, 262-273 p.
Keyword [en]
ASO, Collaborative design environment, Gradient-based optimization, Parallelization, Parametrization, Transonic wing design, Aerodynamics, Computational geometry, Design aids, Distributed computer systems, Optimization, Supersonic aircraft, Transonic aerodynamics, Collaborative design environments, Parallelizations, Parametrizations, Transonic wing designs, Shape optimization
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-207401DOI: 10.1108/AEAT-04-2015-0098ScopusID: 2-s2.0-85014757032OAI: oai:DiVA.org:kth-207401DiVA: diva2:1104692
Note

QC 20170601

Available from: 2017-06-01 Created: 2017-06-01 Last updated: 2017-06-01Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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