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CFD를 이용한 유동제어 핀의 최적설계

The Design Optimization of a Flow Control Fin Using CFD

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주제분류조선공학

초록

In this paper, the Flow Control Fin(FCF) optimization has been carried out using computational fluid dynamics(CFD) techniques. This study focused on evaluation for the performance of the FCF attached in the stern part of the ship. The main advantage of FCF is to enhance the resistance performance through the lift generation with a forward force component on the foil section, and the propulsive performance by the uniformity of velocity distribution on the propeller plane. This study intended to evaluate these functions and to find optimized FCF form for minimizing viscous resistance and equalizing wake distribution. Four parameters of FCF are used in the study,which were angle and position of FCF, longitudinal location, transverse location, and span length in the optimization process. KRISO 300K VLCC2(KVLCC2) was chosen for an example ship to demonstrate FCF for optimization. The optimization procedure utilized genetic algorithms (GAs), a gradient-based optimizer for the refinement of the solution, and Non-dominated Sorting GA-Ⅱ(NSGA-Ⅱ) for Multiobjective Optimization. The results showed that the optimized FCF could enhance the uniformity of wake distribution at the expense of viscous resistance.

Abstract

In this paper, the Flow Control Fin(FCF) optimization has been carried out using computational fluid dynamics(CFD) techniques. This study focused on evaluation for the performance of the FCF attached in the stern part of the ship. The main advantage of FCF is to enhance the resistance performance through the lift generation with a forward force component on the foil section, and the propulsive performance by the uniformity of velocity distribution on the propeller plane. This study intended to evaluate these functions and to find optimized FCF form for minimizing viscous resistance and equalizing wake distribution. Four parameters of FCF are used in the study,which were angle and position of FCF, longitudinal location, transverse location, and span length in the optimization process. KRISO 300K VLCC2(KVLCC2) was chosen for an example ship to demonstrate FCF for optimization. The optimization procedure utilized genetic algorithms (GAs), a gradient-based optimizer for the refinement of the solution, and Non-dominated Sorting GA-Ⅱ(NSGA-Ⅱ) for Multiobjective Optimization. The results showed that the optimized FCF could enhance the uniformity of wake distribution at the expense of viscous resistance.

참고문헌 (14)

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  11. 박동우, "유동제어평판을 가진 선박의 속도성능 향상에 관한 수치적 연구", 대한조선학회 논문집, 46(3), pp.268~278 (2009), 대한조선학회
  12. Schittkowski, K., "86. NLPQL : A FORTRAN subroutine solving constrained nonlinear programming problems", Annals of Operations Research, 5(2), pp.485~500 (1985)
  13. Wie, D. E., "The Design Optimization of a Flow Control Fin Using CFD", 석사, pp.2011
  14. 양해욱, "CFD를 이용한 모형선과 실선 스케일의 반류 비교", 대한조선학회 논문집, 47(2), pp.150~162 (2010), 대한조선학회

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