Abstract
An advanced drag-prediction method, the midfield drag-decomposition method, is applied in aerodynamic design optimization problems. The drag-decomposition method decomposes total drag into wave, profile, and induced and spurious drag components, the latter resulting from the effect of numerical diffusion included in computational fluid dynamics results. Hence, the more accurate drag prediction can be achieved by the elimination of the spurious drag component. In this paper, this method is applied in airfoil, planform, and winglet design optimizations. A conventional genetic algorithm is used as the optimizer. The results showed that the optimizations based on the drag-decomposition method were reliable and efficient. Moreover, detailed information of the drag-reduction mechanisms could be extracted by the drag-component-based investigations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
