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3D Research

, 9:56 | Cite as

Optimal Design of the Floating Body of the Device of Interception and Diversion for Oil Pollution Based on AQWA and MOGA

  • Ya-hui Wang
  • Jian-ting Wang
  • Min-le Zhang
  • Lin-feng Wu
  • Tao Zhang
3DR Express
  • 15 Downloads
Part of the following topical collections:
  1. Computer graphics

Abstract

For the specific conditions of the physical characteristics of the oil pollution and the installation location, the overall design of the floating body was carried out. And it was parametrically modeled with Creo4.0. The AQWA was used to analyze the hydrodynamic performance of the floating body. Then the multi-objective optimization design parameters and target parameters were determined. Within the main design parameters of the floating body, using the design of experiment of the space filling design and AQWA, the design parameters were discretized, and representative samples were extracted and refined. On the basis of constructing the response surface using artificial neural network, the global optimization was performed using MOGA, and the Pareto front was obtained. The optimal solutions of the candidate points obtained and the simulation solutions under the optimal main design parameters are compared, and there is a certain deviation between the two. In engineering applications, the results of numerical optimization should be verified again to determine whether the selected candidate points are suitable. In addition, the numerical simulation results before optimization are compared with those after optimization, and the optimized floating body has better hydrodynamic performance.

Graphical Abstract

Keywords

The oil pollution The floating body AQWA ANN MOGA The Pareto front 

Notes

Acknowledgements

The project was supported by a key research Project of Higher Education of Henan Province (17A460019), Postgraduate Education Reform Project of Henan Province.

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Copyright information

© 3D Research Center, Kwangwoon University and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Ya-hui Wang
    • 1
  • Jian-ting Wang
    • 2
  • Min-le Zhang
    • 1
  • Lin-feng Wu
    • 1
  • Tao Zhang
    • 1
  1. 1.North China University of Water Resources and Electric PowerZhengzhouChina
  2. 2.Great Wall Motor Company LimitedBaodingChina

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