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MAP: A CFD PACKAGE FOR TURBOMACHINERY FLOW SIMULATION AND AERODYNAMIC DESIGN OPTIMIZATION

机译:MAP:用于涡轮机械流动模拟和气动设计优化的CFD软件包

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This paper presents an in-house CFD package and its derivations for turbomachinery flow simulation as well as aerodynamic design optimization which have been employed in several primary Chinese aero-engine institutions. The package contains TurboMesh, a highly automated mesh generation code for turbomachinery, and MAP, a CFD solver for general purpose. Besides the programming strategies, the numerical schemes, and the parallelization methods adopted in the codes are outlined. Emphasis is placed on a novel mixing plane model used in MAP. The proposed model satisfies flux conservation property and very robust in actual usage. Additionally, further improved performance of the model can be achieved by applying a technique similar to the perfect matching layer for non-reflecting boundary conditions. On the basis of MAP, a set of derivations have also been developed. They include several versions of MAP which are based on specific flow models, respectively, an inverse code for the design optimization of 3D blade shape, an improved-delayed-detached-eddy-simulation based code, and a scale-adaptive-simulation based code. Some of these versions of MAP are briefly introduced and demonstrated through a few examples except for the inverse code in which a direct method proposed by the author is explained with a few more words. Illustrations show the applicability of the inverse code for the design of compressor blades in practical multi-blade row environment. By embedding MAP with an in-house numerical optimization package, the numerical optimization of the 2D/3D blade shape can be realized. Some examples for 3D aerodynamic optimizations of compressors are presented.
机译:本文介绍了内部CFD软件包及其在涡轮机械流动仿真和空气动力学设计优化方面的派生,这些软件包已在中国几家主要的航空发动机机构中采用。该软件包包含TurboMesh(用于涡轮机械的高度自动化的网格生成代码)和MAP(用于通用CFD求解器)。除了编程策略外,还概述了代码中采用的数值方案和并行化方法。重点放在MAP中使用的新型混合平面模型上。所提出的模型满足通量守恒性质并且在实际使用中非常鲁棒。此外,通过应用类似于非反射边界条件的完美匹配层的技术,可以进一步提高模型的性能。基于MAP,还开发了一组推导。它们包括分别基于特定流模型的MAP的多个版本,用于3D叶片形状设计优化的逆代码,基于改进的延迟分离涡流仿真的代码以及基于比例自适应仿真的代码。通过一些示例简要介绍了这些版本的MAP,并通过一些示例进行了演示,但在反向代码中,作者提出的直接方法用更多的单词进行了解释。插图显示了反代码在实际的多叶片行环境中对压缩机叶片设计的适用性。通过将MAP嵌入内部数值优化程序包,可以实现2D / 3D叶片形状的数值优化。给出了压缩机3D空气动力学优化的一些示例。

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