The current level of numerical methods of gas dynamics makes it possible to optimize compressors using 3D CFD models. However, the methods and means are not sufficiently developed for their wide application. This paper describes a new method for the optimization of multistage axial compressors based on 3D CFD modeling and summarizes the experience of its application. The developed method is a complex system of interconnected components (an effective mathematical model, a parameterizer, and an optimum search algorithm). The use of the method makes it possible to improve or provide the necessary values of the main gas-dynamic parameters of the compressor by changing the shape of the blades and their relative position. The method was tested in solving optimization problems for multistage axial compressors of gas turbine engines (the number of stages from 3 to 15). As a result, an increase in efficiency, pressure ratio, and stability margins was achieved. The presented work is a summary of a long-years investigation of the research team and aims at creating a complete picture of the obtained results for the reader. A brief description of the results of industrial compresses optimization contained in the paper is given as an illustration of the effectiveness of the developed methods.

气体动力学数值方法的当前水平使得使用 3D CFD 模型优化压缩机成为可能。然而，这些方法和手段对于它们的广泛应用还没有得到充分的发展。本文介绍了一种基于3D CFD建模的多级轴流压气机优化新方法，并总结了其应用经验。所开发的方法是一个由相互连接的组件组成的复杂系统（一个有效的数学模型、一个参数化器和一个最佳搜索算法）。使用该方法可以通过改变叶片的形状和它们的相对位置来改进或提供压缩机的主要气体动力学参数的必要值。该方法在解决燃气涡轮发动机多级轴流压气机（级数从 3 到 15）的优化问题中进行了测试。结果，实现了效率、压力比和稳定性裕度的提高。所呈现的工作是研究团队长期调查的总结，旨在为读者创建所获得结果的完整画面。对本文中包含的工业压缩优化结果进行了简要描述，以说明所开发方法的有效性。