Date of Award
Spring 2011
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mechanical & Aerospace Engineering
Program/Concentration
Mechanical Engineering
Committee Director
Miltiadis Kotinis
Committee Member
Gene J.-W. Hou
Committee Member
Sushil Chaturvedi
Call Number for Print
Special Collections; LD4331.E56 K825 2011
Abstract
The design of transonic airfoils for civil aviation applications has been a major engineering challenge in the last fifty years. This design problem arises due to the need to limit shock wave drag at a given transonic speed. In recent years, the requirement to reduce the levels of aircraft noise has started to affect the airfoil design process. The multidisciplinary aerodynamic shape optimization problem is treated in this thesis using a multi-objective approach. The objectives correspond to the design of transonic airfoil sections with low drag during cruise and low trailing edge noise levels during the approach condition. The optimization problem was solved using the ACMOPSO algorithm, which is based on swarm intelligence. Computational intelligence tools, e.g., artificial neural networks, were also utilized to create surrogate models for the objective functions and constraints of the optimization problem. The parameterization of the airfoil shape was done using cubic B-splines. The flow analysis was performed using the commercial CFD software FLUENT. The results demonstrate the effectiveness and efficiency of the proposed optimization framework when applied to multidisciplinary design optimization problems.
Rights
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DOI
10.25777/4m9j-9k97
Recommended Citation
Kulkarni, Amit A..
"Multidisciplinary Design Optimization of Transonic Airfoil Sections Using Multiobjective Optimization and Computational Intelligence Tools"
(2011). Master of Science (MS), Thesis, Mechanical & Aerospace Engineering, Old Dominion University, DOI: 10.25777/4m9j-9k97
https://digitalcommons.odu.edu/mae_etds/578
Included in
Aerodynamics and Fluid Mechanics Commons, Aeronautical Vehicles Commons, Computer-Aided Engineering and Design Commons, Computer Sciences Commons, Systems Engineering and Multidisciplinary Design Optimization Commons