کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7045791 | 1457095 | 2018 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-step optimizations of leading edge and downstream film cooling configurations on a high pressure turbine vane
ترجمه فارسی عنوان
بهینه سازی چند مرحله ای تنظیمات خنک کننده لبه و پایین دست در یک توربین با فشار بالا
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کلمات کلیدی
توربین بادی فشار بالا، خنک کننده فیلم، بهینه سازی چند مرحله ای، پلت فرم بهینه سازی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
جریان سیال و فرایندهای انتقال
چکیده انگلیسی
Multi-step optimizations of leading edge and downstream film cooling configurations on a high pressure turbine vane are conducted using full three-dimensional optimization method. Firstly, a full three-dimensional optimization platform for film-cooled turbines, which consists of the parametric modeling, automatic mesh generation, the CFD numerical calculation and the optimization strategy is established. On the basis of it, the optimization platform is used to optimize the configurations of multi-rows film cooling holes for C3X gas turbine vane cooled with leading edge showerhead film cooling, and the layout of rows of film cooling holes on pressure side and suction side is optimized for the further step optimization. The sensitivity analysis for film cooling performance is used to decide the final design variables, and the adiabatic film cooling effectiveness is adopted to evaluate the overall performance of film-cooled turbine vane. The results show that the average film cooling effectiveness of the optimized leading edge region, pressure surface and suction surface are increased by 8.4%, 1.1% and 5.5% compared with the original case, while the average temperature of the leading edge region is decreased by 19â¯K.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Thermal Engineering - Volume 134, April 2018, Pages 203-213
Journal: Applied Thermal Engineering - Volume 134, April 2018, Pages 203-213
نویسندگان
Yuting Jiang, Xinchao Wan, Franco Magagnato, Guoqiang Yue, Qun Zheng,