공력 계산 및 형상 최적화를 위한 외부 점 데이터의 spline curve fitting 적용 연구

다국어 초록 (Multilingual Abstract)

The role of the preprocessor in CFD(Computational Fluid Dynamics) is very important to affect the resultant accuracy of calculation. The conformity of the geometry data with the model that is to be analysed is very important before grid generation. In analysis of this part, the process of the curve fitting reduced the errors between the actual flow and the approximation of the shape. In this study, it is shown that representing the external point data with cubic spline curves can produce the interpolated curve shape that is closer to the actual shape and the resultant flow calculation accuracy improves comparing with that of the linear interpolation case.