Aeromechanical optimization of first row compressor test stand blades using a hybrid machine learning model of genetic algorithm, artificial neural networks and design of experiments
In this paper, optimization of the first blade of a new test rig is pursued using a hybrid model comprising the genetic algorithm, artificial neural networks and design of experiments. Blade tuning is conducted using three-dimensional geometric parameters. Taper and sweep angle play important roles...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-01-01
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Series: | Engineering Applications of Computational Fluid Mechanics |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/19942060.2019.1649196 |