Low-Boom and Low-Drag Optimization of the Twin Engine Version of Silent Supersonic Business Jet
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- SATO Koma
- Institute of Fluid Science, Tohoku University
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- KUMANO Takayasu
- Institute of Fluid Science, Tohoku University
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- YONEZAWA Masahito
- Institute of Fluid Science, Tohoku University
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- YAMASHITA Hiroshi
- Institute of Fluid Science, Tohoku University
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- JEONG Shinkyu
- Institute of Fluid Science, Tohoku University
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- OBAYASHI Shigeru
- Institute of Fluid Science, Tohoku University
Abstract
Multi-Objective Optimization has been applied to a design problem of the twin engine concept for Silent Supersonic Business Jet (SSBJ). This problem aims to find main wing, body, tail wing and engine nacelle configurations, which can minimize both sonic boom and drag in a supersonic cruising flight. The multi-objective genetic algorithm (MOGA) coupled with the Kriging model has been used to globally and effectively search for optimal design candidates in the multi-objective problem. The drag and the sonic boom have been evaluated by the computational fluid dynamics (CFD) simulation and the waveform parameter method. As a result, the present optimization has successfully obtained low-boom and low-drag design candidates, which are better than the baseline design by more than 40% regarding each performance. Moreover, the structure of design space has been visualized by the self-organizing map (SOM).
Journal
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- Journal of Fluid Science and Technology
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Journal of Fluid Science and Technology 3 (4), 576-585, 2008
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390001205245445888
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- NII Article ID
- 130000077227
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- ISSN
- 18805558
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed
