GOALI: Surface Heat Transfer, Surface Skin Friction, and a Reynolds Analogy for Flows Over Surfaces with Real Component Roughness

项目编号：0086011目标：表面传热，表面表面摩擦和具有实际部件粗糙度的表面流动的雷诺兹类比[ei: Phillip ligraniabstract]本项目侧重于从实际应用中将流道表面的摩擦和热效应与“真实”详细表面粗糙度联系起来的基础研究。这些包括复杂的，空间变化的粗糙度在内部涡轮翼型冷却通道，外部涡轮翼型表面（如采用在燃气涡轮发动机），和热交换器表面。这种粗糙度在增加热负荷、压降、阻力和气动损失方面起着重要作用。用于测试的“真实”粗糙表面采用与实际运行的发动机部件相似的程序和环境制备，并由通用电气公司研发中心和通用电气飞机发动机提供。实验数据是在内部通道流动中获得的，以及在具有相同雷诺数，马赫数，压力梯度，自由流湍流水平，通道流速，边界层发展和物理尺寸的外部翼型上获得的，这些数据存在于操作燃气涡轮发动机中。两个主要目标是：(i)为实际应用中遇到的粗糙表面上的流动开发粗糙表面雷诺兹类比，以及（ii）开发新的预测模型来解释边界层数值预测方案中的粗糙度。作为本研究的一部分，所获得的结果也有助于改进表面制造技术的发展。

Proposal Number: 0086011GOALI: Surface Heat Transfer, Surface Skin Friction, and a Reynolds Analogy For Flows Over Surfaces With Real Component RoughnessPI: Phillip LigraniABSTRACTThis project focuses on fundamental research to relate friction and thermal effects of flow path surfaces to "real" detailed surface roughness from actual applications. These include the complex, spatially-varying roughness on internal turbine airfoil cooling passages, external turbine airfoil surfaces (as employed in gas turbine engines), and heat exchanger surfaces. Such roughness plays major roles in augmenting heat loading, pressure drop, drag, and aerodynamic losses.The "real" rough surfaces employed for testing are prepared using similar procedures and environments employed for actual operating engine components, and are provided by General Electric Corporate Research and Development Center, and General Electric Aircraft Engines. Experimental data are obtained in an internal channel flow, as well as on an external airfoil with the same Reynolds numbers, Mach numbers, pressure gradients, free-stream turbulence levels, passage flow rates, boundary layer development, and physical dimensions as those that exist in operating gas turbine engines. Two principal goals are: (i) the development of a rough surface Reynolds Analogy for flows over the rough surfaces encountered in the actual applications, and (ii) the development of new predictive models to account for roughness in boundary layer numerical prediction schemes. The results obtained as part of this study are also useful for the development of improved surface manufacturing techniques.