Investigation on the Effect of Impingement Chamber Structure and Cooling Unit Number on Composite Cooling
سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 35
فایل این مقاله در 18 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JAFM-19-1_006
تاریخ نمایه سازی: 23 آبان 1404
چکیده مقاله:
In order to deeply explore the influence and mechanism of the impingement chamber structure and the number of cooling units on the film cooling performance. Based on the Realizable k-ε turbulence model with finite volume composite cooling structure as the research object, the cold flow in the cooling structure with different volumes and shapes of impingement chambers and different numbers of cooling units is investigated in this paper. The numerical method is verified by the existing experimental results, and the grid independence analysis is carried out. The changes of flow field structure and cooling effectiveness under different working conditions are comprehensively analyzed. The results indicate that the volume and shape of the impingement chamber influence the flow structure of the cold flow in the chamber, thereby affecting the flow state of the cold flow in the film hole, ultimately resulting in different momentum distributions of the cold flow at the outlet of the film hole. The strength of the kidney-shaped vortex pair on both sides of the film is directly affected by the momentum distribution of the cold flow at this location, leading to the difference in the film cooling flow on the wall. It is found that the composite cooling structure with a volume of ۰.۸Vr and a circle impingement chamber has better cooling flow ductility and wall adhesion. The momentum distribution of the film hole outlet section of the increased cooling unit is affected by the film flow with regarding the impingement hole, impingement chamber and film hole as a single cooling unit, and the surface-averaged film cooling effectiveness at Nu=۴ is improved by approximately ۷۸.۴۷% compared to Nu=۱.
کلیدواژه ها:
نویسندگان
J. Liu
Research Institute of Intelligent, North University of China, Taiyuan ۰۳۰۰۵۱, China
Z. Zhu
College of Mechatronics Engineering, North University of China, Taiyuan ۰۳۰۰۵۱, China
J. Chang
Research Institute of Intelligent, North University of China, Taiyuan ۰۳۰۰۵۱, China
S. Ma
College of Mechatronics Engineering, North University of China, Taiyuan ۰۳۰۰۵۱, China
J. Sun
College of Mechatronics Engineering, North University of China, Taiyuan ۰۳۰۰۵۱, China
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :