Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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A Study on the Modeling Method of Missile Fin Aerodynamic Coefficient using Wind Tunnel Test and CFD

풍동시험과 CFD 해석 결과를 반영한 유도무기 조종날개 공력계수 모델링 기법 연구

  • Yim, Kyung Jin (The 1st Research and Development Institute, Agency for Defense Development)
  • 임경진 (국방과학연구소 제1기술연구본부)
  • Received : 2019.02.21
  • Accepted : 2019.04.12
  • Published : 2019.06.05
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Abstract

A study on aerodynamic modeling was performed to predict the hinge moments required for initial design of missile. Fin aerodynamic coefficients were modeled using the equivalent angle of attack method based on the wind tunnel test. In addition, CFD analysis was performed to calculate the dynamic pressure around the body and improve the accuracy of aerodynamic coefficients. The aerodynamic coefficient accuracy was verified by comparisons of the coefficient acquired from wind tunnel test and prediction of flow conditions, not involved in the model built-up. It was confirmed that fin aerodynamic coefficients can be predicted effectively by using the proposed method.

Keywords

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Fig. 1. Body coordinate system and aerodynamic coefficients[5]

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Fig. 2. Fin coordinate system and aerodynamic coefficients

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Fig. 3. Correlation of normal-force coefficient with equivalent angle of attack[7]

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Fig. 4. Correlation of axial center-of-pressure position with normal-force coefficient[7]

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Fig. 5. Fin number(ø = 0°, rear view)

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Fig. 6. Normal-force coefficient(Wind tunnel test)

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Fig. 7. Correlation of normal-force coefficient with equivalent angle of attack

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Fig. 8. Correlation of axial center-of-pressure position with normal-force coefficient

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Fig. 9. Normal-force coefficient

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Fig. 10. Mach contour(M = 3.0, α = 10°)

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Fig. 11. Modeling QLOCAL (M = 3.0)

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Fig. 12. Comparison of Normal-force coefficient between WT data and modeling data(M = 3.0)

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Fig. 13. Comparison of Normal-force coefficient between WT data and modeling data using QLOCAL (M = 3.0)

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Fig. 14. Prediction of normal-force coefficient (with QLOCAL)

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Fig. 15. Prediction of axial center-of-pressure (with QLOCAL)

Table 1. Wind tunnel test(WT) conditions

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References

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