Investigating the Effects of Surface Topography and Roughness on Turbine Aerodynamic Performance
Investigating the Effects of Surface Topography and Roughness on Turbine Aerodynamic Performance
批准号:
2299844
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
为了实现欧洲航空研究咨询理事会(ACARE)2050飞行路径计划以减少飞机排放,减少飞机发动机的SFC已经成为越来越重要的任务。这一挑战的一部分是需要通过提高机器级效率来提高燃气轮机的总体空气动力学效率。在航空发动机内,熵是低效率的有用量度,并且在航空发动机涡轮机内产生的熵的大约三分之一与气流和叶片表面之间的“空气动力学摩擦”相关联。边界层内的熵产生率的主要贡献者是空气和叶片之间的“表面摩擦”,其强烈地取决于叶片表面的粗糙度(形貌)。当粗糙元件突出通过层流子层时,由粗糙度引起的扰动决定了表面摩擦力的增加。在罕见的情况下,粗糙度占,确定对表面摩擦力的影响的能力受到不充分的相关性,利用粗测量的中心线平均粗糙度高度,Ra,作为单一的负责任的几何参数。具有相同Ra的表面可以具有各种流向粗糙度分布,其中表面类似于起伏的山丘或陡峭的山脉。这决定了层流子层是否在地形上扰动或突出。PhD问题的另一个方面是涡轮机叶片中存在压力梯度,特别是吸力面上的扩散区域。这个博士学位的目的是发展表面形貌(粗糙度)和空气动力学损失之间的关系的理解。这项研究的成果之一是开发适用于所有叶片表面(即发动机运行、新型陶瓷基复合材料和制造后)的表面形貌影响的相关性。更好地了解表面粗糙度如何影响表面摩擦不仅对当前的设计很重要,而且对新材料和制造工艺的成功实施至关重要。博士将采取实验和数值方法。Rhoden风洞(位于低速Whittle实验室)中的平板衬套工作段将用于模拟按比例放大的发动机代表性边界层,以便测量表面形貌对表面摩擦的影响。将使用数值工具来确定哪些表面需要3D打印和实验测试。这将是用于确定适用于所有真实的涡轮机叶片表面的相关性的主要方法。为了扩大研究范围,将进行高保真计算流体动力学(特别是大涡模拟),以了解是否可以捕获粗糙度引起的气动损失的流体结构。
英文摘要
Reducing the SFC of aircraft engines has become an increasingly significant task in order to achieve Advisory Council for Aeronautics Research in Europe's (ACARE) 2050 flightpath plan to reduce aircraft emissions. A part of this challenge is the requirement to improve the overall aerodynamic efficiency of gas turbines by increasing machine stage efficiencies. Within aeroengines, entropy is a useful measure of inefficiency and approximately one third of the entropy generated within an aeroengine turbine is associated with the "aerodynamic friction" between the air flow and the blade surfaces. A major contributor to the rate of entropy production within a boundary layer is the "skin friction" between the air and blade which depends strongly on the roughness (topography) of the blade surface. When the roughness elements protrude through the laminar sublayer, the perturbations resulting from the roughness determines the rise in skin friction. In the rare instance that roughness is accounted for, the capabilities of determining the impact on the skin friction are constrained by insufficient correlations utilising coarse measurements of the centreline averaged roughness height, Ra, as the singular responsible geometric parameter. A surface with the same Ra can have various streamwise roughness distributions where the surface is akin to rolling hills or steep mountains. This determines whether the laminar sublayer perturbs over the topography or is protruded through. An added dimension to the PhD problem is the presence of a pressure gradient in turbine blades and particularly the region of diffusion on the suction surface. The aim of this PhD is to develop understanding of the relationship between surface topography (roughness) and aerodynamic loss. One of the deliverable of this research will be the development of correlations for the effects of surface topography that can be applied to all blade surfaces (i.e engine-run, novel ceramic matrix composites and as-manufactured). An improved understanding of how surface roughness affects skin friction is not only important to current designs but essential for the successful implementation of new materials and manufacturing processes. The PhD will take an experimental and numerical approach. A flat-plate liner working section in the Rhoden wind tunnel (situated in the Low Speed Whittle Lab) will be used to simulate scaled-up engine representative boundary layer, allowing the impact of the surface topography on skin friction to be measured. A numerical tool will be used to determine which surfaces to be 3-D printed and experimentally tested. This will be the main method used to determine correlations which can be applicable to all real turbine blade surfaces. To broaden the scope of the research, high fidelity computational fluid dynamics (in particular, large eddy simulation) will be performed to see if the fluid-structures responsible for the roughness induced aerodynamic loss can be captured.
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Dynamic Credit Rating with Feedback Effects
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批准号:--
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项目类别:外国学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:Christian Martin Hilpert
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依托单位:
水环境中新兴污染物类抗生素效应(Like-Antibiotic Effects,L-AE)作用机制研究
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批准号:21477024
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项目类别:面上项目
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资助金额:86.0万元
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批准年份:2014
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负责人:李丹
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依托单位: