Application of Artificial Neural Networks in turbomachinery optimization

Author

Jin, Cai ; Yuan, Li ; Jian-feng, Yu ; Zheng, Wang

Author_Institution

Minist. of Educ. Key Lab. of Contemporary, Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China

Volume

3

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

776

Lastpage

781

Abstract

The Response surface methodology provides a way to engineering optimization problems of the turbomachinery. Using a prototypical Artificial Neural Networks (ANN) problem, turbomachinery aerodynamic optimization can improve the efficiency and performance. This study explores the approximation of the turbomachinery objective function which has a significant impact on the accuracy and effectiveness of the resulting ANN model. Application of straightforward simulation computation time improved the generalization capability of the ANN model, avoiding the potential problems of over-training or memorization meanwhile.

Keywords

aerodynamics; mechanical engineering computing; neural nets; optimisation; response surface methodology; turbomachinery; artificial neural network; function approximation; generalization capability; simulation computation; turbomachinery aerodynamic optimization; Approximation methods; Artificial neural networks; Neurons; Optimization; Surface reconstruction; Surface topography; ANN (Artificial Neural Networks); Aerodynamic Optimization; Turbomachinery;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658319

Filename

5658319