International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
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Robust design on the arrangement of a sail and control planes for improvement of underwater Vehicle's maneuverability

  • Wu, Sheng-Ju (Department of Power Vehicle and Systems Engineering, CCIT, National Defense University) ;
  • Lin, Chun-Cheng (Department of Power Vehicle and Systems Engineering, CCIT, National Defense University) ;
  • Liu, Tsung-Lung (School of Defense Science, CCIT, National Defense University) ;
  • Su, I-Hsuan (Naval Shipbuilding and Development Center)
  • Received : 2019.06.21
  • Accepted : 2020.06.01
  • Published : 2020.12.31
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Abstract

The purpose of this study is to discuss how to improve the maneuverability of lifting and diving for underwater vehicle's vertical motion. Therefore, to solve these problems, applied the 3-D numerical simulation, Taguchi's Design of Experiment (DOE), and intelligent parameter design methods, etc. We planned four steps as follows: firstly, we applied the 2-D flow simulation with NACA series, and then through the Taguchi's dynamic method to analyze the sensitivity (β). Secondly, take the data of pitching torque and total resistance from the Taguchi orthogonal array (L9), the ignal-to-noise ratio (SNR), and analysis each factorial contribution by ANOVA. Thirdly, used Radial Basis Function Network (RBFN) method to train the non-linear meta-modeling and found out the best factorial combination by Particle Swarm Optimization (PSO) and Weighted Percentage Reduction of Quality Loss (WPRQL). Finally, the application of the above methods gives the global optimum for multi-quality characteristics and the robust design configuration, including L/D is 9.4:1, the foreplane on the hull (Bow-2), and position of the sail is 0.25 Ls from the bow. The result shows that the total quality is improved by 86.03% in comparison with the original design.

Keywords

Acknowledgement

This research is sponsored by the Ministry of Science and Technology, Taiwan, R.O.C. under Grant no. MOST 108-2218-E-606-001 -MY2.

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