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首页> 外文期刊>Advances in Mechanical Engineering >Blade shape optimization of an aircraft propeller using space mapping surrogates
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Blade shape optimization of an aircraft propeller using space mapping surrogates

机译：使用空间映射代理的飞机推进器的刀片形状优化

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Propeller performance greatly influences the overall efficiency of the turboprop engines. The aim of this study is to perform a propeller blade shape optimization for maximum aerodynamic efficiency with a minimal number of high-fidelitymodel evaluations. A physics-based surrogate approach exploiting space mapping is employed for the design process. Aspace mapping algorithm is utilized, for the first time in the field of propeller design, to link two of the most commonpropeller analysis models: the classical blade-element momentum theory to be the coarse model; and the high-fidelitycomputational fluid dynamics tool as the fine model. The numerical computational fluid dynamics simulations are performed using the finite-volume discretization of the Reynolds-averaged Navier–Stokes equations on an adaptive unstructured grid. The optimum design is obtained after few iterations with only 56 computationally expensive computationalfluid dynamics simulations. Furthermore, an optimization method based on design of experiments and kriging responsesurface is used to validate the results and compare the computational efficiency of the two techniques. The results showthat space mapping is more computationally efficient.
机译：螺旋桨性能极大地影响涡轮螺旋桨发动机的整体效率。本研究的目的是执行螺旋桨叶片形状优化，以获得最大的空气动力学效率，具有最小数量的高保真模型评估。基于物理的代理方法利用空间映射用于设计过程。在螺旋桨设计领域的第一次使用展望映射算法，以将两个最常见的普通人分析模型链接：经典刀片元素动量理论是粗略模型;和高保真性转换流体动力学工具作为微型模型。使用在自适应非结构​​化网格上的Reynolds平均Navier-Stokes方程的有限体积离散化进行数值计算流体动力学模拟。在仅具有56个计算昂贵的计算流动力学模拟的次数之后获得最佳设计。此外，使用基于实验设计和Kriging Chalestionurface的优化方法来验证结果并比较两种技术的计算效率。结果显示空间映射更加计算效率。

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