基于三维逆设计方法的离心风机多点多目标优化

IF 1.3 Q2 ENGINEERING, AEROSPACE

International Journal of Turbomachinery, Propulsion and Power Pub Date : 2023-03-02 DOI:10.3390/ijtpp8010008

Jiangnan Zhang, M. Zangeneh

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引用次数: 1

摘要

本文采用三维逆向设计方法、DOE（实验设计）研究、RSM（响应面模型）和MOGA（多目标遗传算法），对一台离心风机进行了设计和优化，该离心风机要求在两个运行点的总静压上升和总静效率以及电机功率提供的最大转矩最大化。使用13个设计参数对风扇几何结构进行参数化，并生成120个不同的设计。通过稳态CFD模拟评估了所有设计在两种工况下的风机性能。所得到的设计矩阵用于创建基于Kriging方法的RSM，并且MOGA用于使用RSM搜索设计空间并找到最优设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-Point, Multi-Objective Optimisation of Centrifugal Fans by 3D Inverse Design Method

In this paper, we present the design and optimization of a centrifugal fan with requirements of maximizing the total-to-static pressure rise and total-to-static efficiency at two operating points and the maximum torque provided by the motor power using a 3D inverse design method, a DOE (design of experiment) study, an RSM (response surface model) and a MOGA (multi-objective genetic algorithm). The fan geometry is parametrized using 13 design parameters, and 120 different designs are generated. The fan performances of all the designs at two operating conditions are evaluated through steady-state CFD simulations. The resulting design matrix is used to create an RSM based on the Kriging method and MOGA is used to search the design space using the RSM and find the optimal design.

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来源期刊

International Journal of Turbomachinery, Propulsion and Power Engineering-Aerospace Engineering

CiteScore

2.30

自引率

21.40%

发文量

审稿时长

11 weeks