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Optimization Approach for a Catamaran Hull Using CAESES and STAR-CCM+ 원문보기

韓國海洋工學會誌 = Journal of ocean engineering and technology, v.34 no.4, 2020년, pp.272 - 276  

Yongxing, Zhang (Interdisciplinary Program of Marine Convergence Design, Pukyong National University) ,  Kim, Dong-Joon (Department of Naval Architecture and Marine Systems Engineering, Pukyong National University)

Abstract ▼ AI-Helper 아이콘AI-Helper

This paper presents an optimization process for a catamaran hull form. The entire optimization process was managed using the CAD-CFD integration platform CAESES. The resistance of the demi-hull was simulated in calm water using the CFD solver STAR-CCM+, and an inviscid fluid model was used to reduce...

주제어

#Optimization   #Catamaran   #CAESES   #STAR-CCM+   #Free-form deformation   #Non-dominated sorting genetic algorithm (NSGA)-II  

AI 본문요약
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제안 방법

  • Therefore, optimizing the resistance in an inviscid fluid is an effective way to optimize the performance of the high-speed ship. STAR-CCM+ was selected to perform the numerical simulation and evaluation, and the fluid model was set as an inviscid fluid model.
  • The resistance was simulated in STAR-CCM+ and fed back to CAESES by coupling the two programs. The FFD method was used to modify the bulbous bow shape with the design variables: the length, breadth, and angle. NSGA-II was then used to obtain the optimal bulbous bow.
  • The bulbous bow of the demi-hull was optimized by a genetic algorithm, and the forms were generated by the FFD method for various lengths, breadths, and angles. The bow part between the bulbous bow and the mid-ship was then optimized by simulating 9 different hull forms that were modified by the Lackenby method while keeping the displacement of the demi-hull constant. The design variable was ΔLCB.
  • The length, breadth, and angle of the bulbous bow were modified by the FFD method and then optimized by the Non-dominated Sorting Genetic Algorithm (NSGA)-II. The bow part was optimized by simulating nine different hull forms that were modified by the Lackenby method and then comparing them. Finally, after obtaining the optimal demi-hull, the distance between two demi-hulls was optimized.
  • The hull form of a high-speed catamaran was optimized by coupling the software CAESES and STAR-CCM+. The resistance simulation was carried out using the RANS method, and the fluid model was set to inviscid to reduce the computing time. The bulbous bow of the demi-hull was optimized by a genetic algorithm, and the forms were generated by the FFD method for various lengths, breadths, and angles.

이론/모형

  • The bow part is the part of the hull between the bulbous bow and mid-ship. The Lackenby method was used for the bow part modification. The longitudinal center of buoyancy (LCB) was changed slightly while the displacement was kept constant.
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참고문헌 (11)

  1. Chrismianto, D., & Kim, D.J. (2014). Parametric Bulbous Bow Design Using the Cubic Bezier Curve and Curve-plane Intersection Method for the Minimization of Ship Resistance in CFD. Journal of Marine Science and Technology, 19(4), 479-492. https://doi.org/10.1007/s00773-014-0278-x 

    상세보기 crossref

  2. Han, S.H., Lee, Y.S., & Choi, Y.B. (2012). Hydrodynamic Hull form Optimization Using Parametric Models. Journal of Marine Science and Technology, 17, 1-17. https://doi.org/10.1007/s00773-011-0148-8 

    상세보기 crossref

  3. Huang, F.X., Wang, L.J., & Yang, C. (2016). A New Improved Artificial Bee Colony Algorithm for Ship Hull form Optimization. Engineering Optimization, 48(4), 672-686. https://doi.org/10.1080/0305215X.2015.1031660 

    상세보기 crossref

  4. Kim, Y.C., Kim, Y., Kim, J., & Kim, K.S. (2019). Application of the Overset Grid Scheme (Suggar++) for Flow Analysis around a Ship. Journal of the Society of Naval Architects of Korea, 56(1), 47-57. https://doi.org/10.3744/SNAK.2019.56.1.047 

    원문보기 상세보기 crossref

  5. Kostas, K.V., Ginnis, A.I., Politis, C.G., & Kaklis, P.D. (2015). Ship-hull Shape Optimization with a T-spline Based BEM Iso-geometric Solver. Computer Methods in Applied Mechanics and Engineering, 284, 611-622. https://doi.org/10.1016/j.cma.2014.10.030 

    상세보기 crossref

  6. Luo, W., & Lan, L. (2017). Design Optimization of the Lines of the Bulbous Bow of a Hull Based on Parametric Modeling and Computational Fluid Dynamics Calculation. Mathematical and Computational Applications, 22(4), 1-12. https://doi.org/10.3390/mca22010004 

  7. Lackenby, H. (1950). On the Systematic Geometrical Variation of Ship Forms. RINA Transactions, 92, 289-309. 

  8. Millward, A. (1992). The Effect of Hull Separation and Restricted Water Depth on Catamaran Resistance. Transactions of the Royal Institute of Naval Architects, 134, 341-349. 

  9. Park, K., Kim, D.J., Kim, S.Y., & Rhee, S.H. (2019). A Study on the Resistance Performance and Flow Pattern of High Speed Planing Hull using CFD. Journal of the Society of Naval Architects of Korea, 56(1), 23-33. https://doi.org/10.3744/SNAK.2019.56.1.023 

    원문보기 상세보기 crossref

  10. Thomas, W.S., & Scott, R.P. (1986). Free-form Deformation of Solid Geometric Models. Proceedings of SIGGRAPH - Special Interest Group on GRAPHics and Interactive Techniques, 20, 151-159. 

  11. Zhang, S.L., Zhang, B.J., Tezdogan, T., Xu, L., & Lai, Y.Y. (2018). Computational Fluid Dynamics-based Hull form Optimization Using Approximation Method. Engineering Applications of Computational Fluid Mechanics, 12(1), 74-88. https://doi.org/10.1080/19942060.2017.1343751 

    상세보기 crossref

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