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Wu, Sheng-Ju,Lin, Chun-Cheng,Liu, Tsung-Lung,Su, I-Hsuan The Society of Naval Architects of Korea 2020 International Journal of Naval Architecture and Oc Vol.12 No.1
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.
Wu, Sheng-Ju,Lin, Chun-Cheng,Liu, Tsung-Lung,Su, I-Hsuan The Society of Naval Architects of Korea 2020 International Journal of Naval Architecture and Oc Vol.12 No.-
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.
Lin Hsin-Hung,Wu Sheng-Ju,Liu Tsung-Lung,Pan Kuan-Cheng 한국항공우주학회 2021 International Journal of Aeronautical and Space Sc Vol.22 No.1
Compared with land-based helicopters, ship-based helicopters are required to land in a more challenging working environment as the airwakes generated by the wind field flowing through the superstructure of the ship changes the wind field structure. This complicates the wind field structure and affects the safety of flight control. The flight safety of the helicopter pilot can be significantly improved with prior understanding of the relevant information in the ship-based helicopter operating limits (SHOL) diagram. In previous studies, the SHOL diagram of ship-based helicopters has been obtained using numerical simulations in conjunction with a flight simulator. However, the flight simulator equipment is expensive and difficult to maintain. This study references the aforementioned studies by initially employing a numerical simulation method to obtain the flow field information of the interaction between the airwakes of the ship’s superstructure and the downwash flow of the helicopter. Then, the flight simulator is replaced by computational intelligence methods involving artificial intelligence. This significantly reduces the research cost for envelope construction. This study integrates design of experiments (DOE) and computational intelligence techniques (soft computing) to establish a recommended range for the SHOL diagram of ship-based helicopters. This study utilizes the DOE and computational intelligence techniques to construct the SHOL diagram of ship-based helicopters, provide suggestions, and serve as a reference for helicopter pilots and engineering designers to improve the safety during flight.