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Volume 41 Issue 5
May  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(5): 941-946.
ZHAO Dejian, WANG Yankui, ZHOU Ping, et al. Optimization of drag-reduction by suction using multi-island genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 941-946. doi: 10.13700/j.bh.1001-5965.2014.0345(in Chinese)
Citation: ZHAO Dejian, WANG Yankui, ZHOU Ping, et al. Optimization of drag-reduction by suction using multi-island genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(5): 941-946. doi: 10.13700/j.bh.1001-5965.2014.0345(in Chinese)
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Optimization of drag-reduction by suction using multi-island genetic algorithm

doi: 10.13700/j.bh.1001-5965.2014.0345

  • School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 12 Jun 2014
  • Rev Recd Date: 12 Sep 2014
  • Publish Date: 20 May 2015
    Abstract
  • To overcome the drawback of large suction mass requirement, the suction control for drag reduction was optimized. Computational fluid dynamics (CFD) in conjunction with multi-island genetic algorithm was employed as the tool to achieve the optimization. E387 airfoil was employed as the physical model. The suction location and mass flux of slot were set as the design optimization variables. The goal was to minimize both the airfoil drag and suction mass requirement by identifying the optimal suction location on the upper airfoil surface. The results show that the suction location and the suction mass requirement could be optimized by multi-island genetic algorithm. When the suction location is optimal, the mass flux of slot reaches the lower limit of the optimization interval with the airfoil drag reduced up to 8.3%. The occurrence of transition is not delayed by suction control so that friction drag is not reduced and the airfoil drag reduction is mainly due to the reduction in pressure drag.

     

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