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DESIGN, OPTIMIZATION AND ANALYSIS OF SUPERSONIC RADIAL TURBINES

机译:超音速径向涡轮的设计,优化和分析

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New compact engine architectures such as pressure gain combustion require ad-hoc turbomachinery to ensure an adequate range of operation with high performance. A critical factor for supersonic turbines is to ensure the starting of the flow passages, which limits the flow turning and airfoil thickness. Radial outflow turbines inherently increase the cross section along the flow path, which holds great potential for high turning of supersonic flow with a low stage number and guarantees a compact design. First the preliminary design space is described. Afterwards a differential evolution multi-objective optimization with 12 geometrical design parameters is deducted. With the design tool AutoBlade 10.1, 768 geometries were generated and hub, shroud, and blade camber line were designed by means of Bezier curves. Outlet radius, passage height, and axial location of the outlet were design variables as well. Structured meshes with around 3.7 million cells per passage were generated. Steady three dimensional Reynolds averaged Navier Stokes (RANS) simulations, enclosed by the k-omega SST turbulence model were solved by the commercial solver CFD++. The geometry was optimized towards low entropy and high power output. To prove the functionality of the new turbine concept and optimization, a full wheel unsteady RANS simulation of the optimized geometry exposed to a nozzled rotating detonation combustor (RDC) has been performed and the advantageous flow patterns of the optimization were also observed during transient operation.
机译:新的紧凑型发动机架构(例如压力增加燃烧)需要专用涡轮机械,以确保高性能的适当操作范围。对于超音速涡轮机来说,一个关键因素是确保流动通道的启动,这限制了流动转向和翼型厚度。径向流出涡轮固有地增加了沿流动路径的横截面,这为低级数的超音速流的高转向提供了巨大的潜力,并确保了紧凑的设计。首先描述初步设计空间。然后,推导了具有12个几何设计参数的差分进化多目标优化。使用设计工具AutoBlade 10.1,可以生成768个几何图形,并通过Bezier曲线设计轮毂,护罩和叶片外倾角线。出口半径,通道高度和出口的轴向位置也是设计变量。生成每个通道约370万个单元的结构化网格。由商用解算器CFD ++求解由k-omega SST湍流模型包围的稳定的三维雷诺平均Navier Stokes(RANS)模拟。对低熵和高功率输出进行了几何优化。为了证明新涡轮机概念和优化的功能,已经对暴露于喷嘴旋转爆轰燃烧器(RDC)的优化几何结构进行了全轮非稳态RANS仿真,并且在瞬态运行期间也观察到了优化的有利流型。

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