Impeller Inverse Design by Neural Networks Coupled with Genetic Algorithms

Pan Huiyuan; Xi Guang; Wang Shangjin

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Impeller Inverse Design by Neural Networks Coupled with Genetic Algorithms

更新时间：2026-07-07

- Impeller Inverse Design by Neural Networks Coupled with Genetic Algorithms
- Vol. 15, Issue 1, (2000)
- 作者机构：
  
  西安交通大学能源与动力工程学院机泵中心,陕西,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2000
- 稿件说明：
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Pan Huiyuan, Xi Guang, Wang Shangjin. Impeller Inverse Design by Neural Networks Coupled with Genetic Algorithms[J]. 2000, 15(1).
DOI：

Pan Huiyuan, Xi Guang, Wang Shangjin. Impeller Inverse Design by Neural Networks Coupled with Genetic Algorithms[J]. 2000, 15(1). DOI：

摘要

本文的目的是利用神经网络实现离心压缩机叶轮的逆命题设计。为此

结合实例叶轮逆命题设计问题通过遗传算法的演化和训练建立了前馈神经网络。所建网络随之用于求解给定表面速度分布情况下的叶片型线。

Abstract

A study on application of neural networks to solving an inverse design of a centrifugal compressor impeller has been conducted.The feedforward neural networks were established by means of evolving and training with genetic algorithms for a real impeller inverse design

and then used to predict the blade profile when the velocity distribution on its surface is given.Numerical simulation shows that the neural networks can successfully yield the desired blade profile.

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Fan Huiyuan

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Related Institution

School of Aeronautics，Northwestern Polytechnical University

Low Speed Aerodynamics Institute，China Aerodynamics Research and Development Center

School of Astronautics，Northwestern Polytechnical University

Huayin Ordnance Test Center of China,Huayin Shanxi

Science and Technology on Combustion,Internal Flow and Thermal-structure Laboratory, College of Astronautics, Northwestern Polytechnical University

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