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2025 , Vol. 34 >Issue 1: 77 - 91

DOI: https://doi.org/10.1007/s11630-024-2005-1

Automatic and Rapid Throughflow-Based Optimal Design Method for Multi-Stage Axial-Flow Compressors

  • LEI Fan ,
  • ZHANG Xiawen ,
  • JU Yaping ,
  • ZHANG Chuhua
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  • 1. Department of Fluid Machinery and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    2. State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an 710049, China
    3. Production and Environmental Department, China Huaneng Group., Co., Ltd., Beijing 100031, China

网络出版日期: 2025-01-09

基金资助

This work is financially supported by the National Science and Technology Major Project of China (Grant No. 2017-II-0006-0020), National Key Research and Development Project of China (Grant No. 2016YFB0200901), National Natural Science Foundation of China (Grant No. 51776154) and Shaanxi Key Research and Development Project (Grant No. 2018KWZ-01).

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Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024
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Automatic and Rapid Throughflow-Based Optimal Design Method for Multi-Stage Axial-Flow Compressors

  • LEI Fan ,
  • ZHANG Xiawen ,
  • JU Yaping ,
  • ZHANG Chuhua
Expand
  • 1. Department of Fluid Machinery and Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    2. State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an 710049, China
    3. Production and Environmental Department, China Huaneng Group., Co., Ltd., Beijing 100031, China

Online published: 2025-01-09

Supported by

This work is financially supported by the National Science and Technology Major Project of China (Grant No. 2017-II-0006-0020), National Key Research and Development Project of China (Grant No. 2016YFB0200901), National Natural Science Foundation of China (Grant No. 51776154) and Shaanxi Key Research and Development Project (Grant No. 2018KWZ-01).

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024
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摘要

作为多级轴流压缩机先进设计体系的核心组成部分，通流设计具有耗时少、优化空间大的优点。但迄今为止，绝大多数有关通流问题的研究仅限于通流反设计，很少有研究致力于通流优化。本文提出了一种基于通流设计的多级轴流压缩机自动快速优化设计方法，将通流反问题求解器嵌入到遗传算法中，以实现对轴流压气机设计效率的优化。本方法选取环量和外侧子午型线作为两类设计参数，以优化叶片形状和子午流道。为了验证本方法的有效性，本方法首先被用来优化NASA Stage 35，CFD预测结果表明，本方法能够将NASA Stage 35在设计点的绝热效率提升1.18%。本方法然后被用来对一台6.5级大流量的工业轴流压气机进行通流优化，CFD预测结果表明，其在设计点的绝热效率提升了1.09%，而整个通流优化过程仅需要台式计算机花几分钟的时间即可完成。该优化结果还揭示了两条适用于先进轴流工业压气机的通流设计启示。该工作对提高通流设计方法的发展水平具有重要的科学价值，对拓展多级轴流压气机通流优化空间具有工程应用价值。

关键词： multi-stage axial-flow compressor; throughflow design; empirical correlations; genetic algorithm; aerodynamic optimization

本文引用格式

LEI Fan , ZHANG Xiawen , JU Yaping , ZHANG Chuhua . Automatic and Rapid Throughflow-Based Optimal Design Method for Multi-Stage Axial-Flow Compressors[J]. 热科学学报, 2025 , 34(1) : 77 -91 . DOI: 10.1007/s11630-024-2005-1

Abstract

Throughflow design has the advantages of less time consumption and large optimization space, and thus is the corner stone of advanced design system of multi-stage axial-flow compressors. The majority of relevant studies were limited to the throughflow inverse designs, and quite few works have been till now devoted to the throughflow optimal designs. In this work, an automatic and rapid throughflow-based optimal design method is proposed for axial-flow compressors in which a throughflow inverse design solver is embedded in optimal genetic algorithm to improve the design efficiency of axial-flow compressor. Two types of design parameters in the throughflow inverse design of axial-flow compressors, i.e., swirl and shroud curve, are simultaneously used to optimize both the blade shape and flow path. The proposed method is validated by the redesign optimization of the benchmark axial-flow compressor NASA Stage 35, and the CFD predictions show that the throughflow-based optimization leads to 1.18% efficiency benefit at design condition. The proposed method is then utilized to the two-dimensional throughflow optimal design of a large-scale 6.5-stage axial-flow industrial compressor. The optimal design results are confirmed by CFD predictions, indicating that the proposed method can effectively improve the design adiabatic efficiency of the compressors by 1.09% within a few minutes on desk-top computer. Two throughflow design implications are also obtained for advanced axial-flow industrial compressors. This work could enhance the capability of throughflow design method and has engineering application value to explore the throughflow optimization space of multi-stage axial-flow compressors.

Key words： multi-stage axial-flow compressor; throughflow design; empirical correlations; genetic algorithm; aerodynamic optimization

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