این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Applied Fluid Mechanics، جلد ۱۱، شماره ۶، صفحات ۱۶۶۵-۱۶۷۸
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Coefficient Adaptation Method for the Zwart Model
چکیده انگلیسی مقاله The coefficient adaptation problem is often encountered in CFD simulations. The accuracy of simulation results depends much on the empirical coefficients of mathematical models. Cavitation simulation is a typical application of CFD. Researchers have proposed methods to optimize the empirical coefficients of the cavitation model. However, these methods can only acquire constant values which aren’t adaptive to all the operating conditions. This paper focused on the condensation and the evaporation coefficients of the Zwart model and considered quasi-steady cavitating flows around a 2-D NACA66(MOD) hydrofoil. For the first time, we gave a formal description of the coefficient adaptation problem, and put forward a method to model the relationship between the best coefficient values and the operating conditions. We designed and implemented the coefficient adaptation platform combining OpenFOAM, and validated the best coefficient values predicted by our method. The overall results show the predicted coefficient values result in an increase of accuracy by 12% in average, compared with the default values and the tuned values by Morgut, thus indicating our method can effectively solve the coefficient adaptation problem for the Zwart model. We believe the proposed method can be extended to other mathematical models in practical uses.
کلیدواژه‌های انگلیسی مقاله Coefficient optimization, Zwart model, OpenFOAM, Cavitation, CFD
نویسندگان مقاله W. Jin |
State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, China

Y. Tang |
State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, China

Y. Tang |
State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, China

H. Zhou |
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China

H. Zhou |
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China

X. Ren |
State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha 410073, China

نشانی اینترنتی https://www.jafmonline.net/article_714_a1687801c39dccb864e234361e4f1825.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات