지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2012.11
- 수록면
- 162 - 170 (9page)
이용수
초록· 키워드
오류제보하기
Cavitating flow is notoriously complex because of the issues of large density jump across the irregularly shaped phase boundary, interaction between phase change, turbulence, and the stiffness in the numerical solution. These issues can be modeled with the aid of the multiphase transport equations with appropriate source terms to regulate the mass transfer between phases. In this paper, a sensitivity analysis of empirical coefficients to access the predictive capability of the existing cavitation models is presented. Three cavitation models are considered. Two empirical coefficients used in each cavitation model are accessed, namely Cdest, and Cprod, that directly affect the evaporation and condensation of phases. The coefficients are non-dimensionalized with the freestream values to have correct dimensional form as the convective terms. The present compressible multiphase Reynolds averaged Navier-Stokes solver employs a preconditioning algorithm. The standard k-ε turbulence model with wall functions is employed as the turbulence closure. The governing equations are solved on multi-block structured curvilinear grids. The sensitivity of the computations for turbulent cavitating flows over the axisymmetric bodies to the empirical coefficients are performed. The empirical coefficients in three cavitation models have been successfully calibrated with the experimental data for different flow conditions. The sensitivity analysis indicates that the cavitation flow characteristic as well as the stability of the numerical method be quite sensitive to the model coefficients. To confirm the use of the calibrated model coefficients, the computations of cavitating flow over the Clark-Y hydrofoil is then carried out. The multiphase solver provides overall satisfactory results for the prediction of cavitating flow behavior.
목차
1. INTRODUCTION
2. GOVERNING EQUATIONS
3. NUMERICAL METHOD
4. NUMERICAL RESULTS
5. CONCLUSIONS
ACKNOWLEDGEMENT
REFERENCES
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2014-422-000810494