Rotor Structure Optimal Design Based on Kriging Model and PSO

DOI

10.2991/icimm-15.2015.256How to use a DOI?

Keywords

kriging model; rotor; particle swarm optimization; optimal design.

Abstract

Rotor structure design technology often employed finite element analysis software (ANSYS), which are computational expense and highly time cost and need to employ approximation techniques. We herein studied a Kriging Model-based approximation technique, and applied it to optimize rotor structure. Firstly, we investigated the approximation models on rotor structure design. The mass of the rotor was the optimize goal, and the rotor statics, resonance frequency and geometry dimension were the constraint condition. We also employed particle swarm optimization (PSO) as model solution method. The computational results comparing to optimal results of ANSYS tested our proposed methods. The experimental results showed that the proposed method can increase the design efficiency and quality.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongxia Song
AU  - Yang Sun
AU  - Yanjun Shi
PY  - 2015/07
DA  - 2015/07
TI  - Rotor Structure Optimal Design Based on Kriging Model and PSO
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 1403
EP  - 1407
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.256
DO  - 10.2991/icimm-15.2015.256
ID  - Song2015/07
ER  -