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Development of cubic Bezier curve and curve-plane intersection method for parametric submarine hull form design to optimize hull resistance using CFD

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Abstract

Optimization analysis and computational fluid dynamics (CFDs) have been applied simultaneously, in which a parametric model plays an important role in finding the optimal solution. However, it is difficult to create a parametric model for a complex shape with irregular curves, such as a submarine hull form. In this study, the cubic Bezier curve and curve-plane intersection method are used to generate a solid model of a parametric submarine hull form taking three input parameters into account: nose radius, tail radius, and length-height hull ratio (L/H). Application program interface (API) scripting is also used to write code in the ANSYS design modeler. The results show that the submarine shape can be generated with some variation of the input parameters. An example is given that shows how the proposed method can be applied successfully to a hull resistance optimization case. The parametric design of the middle submarine type was chosen to be modified. First, the original submarine model was analyzed, in advance, using CFD. Then, using the response surface graph, some candidate optimal designs with a minimum hull resistance coefficient were obtained. Further, the optimization method in goal-driven optimization (GDO) was implemented to find the submarine hull form with the minimum hull resistance coefficient (C t ). The minimum C t was obtained. The calculated difference in C t values between the initial submarine and the optimum submarine is around 0.26%, with the C t of the initial submarine and the optimum submarine being 0.001 508 26 and 0.001 504 29, respectively. The results show that the optimum submarine hull form shows a higher nose radius (r n ) and higher L/H than those of the initial submarine shape, while the radius of the tail (r t ) is smaller than that of the initial shape.

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References

  • Blanchard L, Berrini E, Duvigneau R, Roux Y, Mourrain B, Jean E (2013). Bulbous bow shape optimization. V International Conference on Computational Methods in Marine Engineering (MARINE 2013), Hamburg, Germany, 1–12.

    Google Scholar 

  • Campana EF, Peri D, Tahara Y, Stern F (2006). Shape optimization in ship hydrodynamics using computational fluid dynamics. Computer Methods in Applied Mechanics and Engineering, 196(1), 634–651. DOI: 10.1016/j.cma.2006.06.003

    Article  MATH  Google Scholar 

  • Chen PF, Huang CH (2004). An inverse hull design approach in minimizing the ship wave. Ocean Engineering, 31(13), 1683–1712. DOI: 10.1016/j.oceaneng.2003.08.010

    Article  Google Scholar 

  • Choi BK (1991). Surface modeling for CAD/CAM. Elsevier, Seoul, Korea.

    Google Scholar 

  • Chrismianto D (2013). Parametric bulbous bow design for the minimization of ship resistance by using CFD. Ph.D. thesis, Pukyong National University, Busan, Korea, 7–10.

    Google Scholar 

  • Chrismianto D, Kim DJ (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. DOI: 10.1007_s00773-014-0278-x

    Article  Google Scholar 

  • Diez M, Peri D, Fasano G, Campana EF (2010). Multidisciplinary robust optimization for ship design. 28 th Symposium on Naval Hydrodynamic, Pasadena, USA.

    Google Scholar 

  • Grigoropoulos GJ, Chalkias DS (2010). Hull-form optimization in calm and rough water. Computer-Aided Design, 42(11), 977–984. DOI 10.1016/j.cad.2009.11.004

    Article  Google Scholar 

  • Kang JY, Lee BS (2010). Mesh-based morphing method for rapid hull form generation. Computer-Aided Design, 42(11), 970–976. DOI: 10.1016/j.cad.2009.11.004

    Article  Google Scholar 

  • Karim MM, Rahman MM, Alim MA (2008). Numerical computation of viscous drag for axisymetric underwater vehicles. Jurnal Mekanikal, 26, 9–21.

    Google Scholar 

  • Kim H, Yang C (2010). A new surface modification approach for CFD-based hull form optimization. International Conference on Hydrodynamics, Shanghai, China.

    Google Scholar 

  • Lu WC, Huang JM (1998). Modification of a NURBS curve with nose features. Computer Integrated Manufacturing Systems, 11(4), 253–265. DOI: 10.1016/S0951-5240(98)00023-8

    Article  Google Scholar 

  • Mancuso A (2006). Parametric design of sailing hull shapes. Ocean Engineering, 33(2), 234–246. DOI: 10.1016/j.oceaneng.2005.03.007

    Article  Google Scholar 

  • Parsons JS, Goodson RE, Goldschmied FR (1974). Shaping of axisymmetric bodies for minimum drag in incompressible flow. Journal of Hydronautics, 8(3), 100–107. DOI: 10.2514/3.48131

    Article  Google Scholar 

  • Pecot F, Yvin C, Buiatti R, Maisonneuve JJ (2012). Shape optimization of a monohull fishing vessel. 12 th International Conference on Computer and ITApplication in the Maritime Industries, Liege, Belgium, 7–18.

    Google Scholar 

  • Perez F, Suarez JA, Clemente JA, Souto A (2007). Geometric modelling of bulbous bows with the use of non-uniform rational B-spline surfaces. Journal of Marine Science and Technology, 12(2), 83–94. DOI: 10.1007/s00773-006-0225-6

    Article  Google Scholar 

  • Perez F, Clemente JA (2011). Constrained design of simple ship hulls with B-spline surfaces. Computer-Aided Design, 43(12), 1829–1840. DOI: 10.1016/j.cad.2011.07.008.

    Article  Google Scholar 

  • Piegl L, Tiller W (1997). The NURBS Book. Springer, Berlin, Germany.

    Book  Google Scholar 

  • Ping Z, Xiang ZD, Hao LW (2008). Parametric approach to design of hull forms. Journal of Hydrodynamics, 20(6), 804–810. DOI: 10.1016/S1001-6058(09)60019-6

    Article  Google Scholar 

  • Rodriguez A, Jambrina LF (2012). Programmed design of ship forms. Computer-Aided Design, 44(7), 687–696. DOI: 10.1016/j.cad.2012.03.003

    Article  Google Scholar 

  • Sarioz E (2006). An optimization approach for fairing of ship hull forms. Ocean Engineering, 33(16), 2105–2118. DOI: 10.1016/j.oceaneng.2005.11.014

    Article  Google Scholar 

  • Saxena A, Sahay B (2005). Computer aided engineering design. Anamaya Publisher, New Delhi, India.

    Google Scholar 

  • Seo JW, Seol DM, Lee JH, Rhee SH (2010). Flexible CFD meshing strategy for prediction of ship resistance and propulsion performance. International Journal of Naval Architecture and Ocean Engineering, 2(3), 139–145. DOI: 10.3744/JNAOE.2010.2.3.139

    Article  Google Scholar 

  • Suman KNS, Rao DN, Das HN, Kiran GB (2010). Hydrodynamic performance evaluation of an ellipsoidal nose for high speed under water vehicle, Jordan Journal of Mechanical and Industrial Engineering, 4(5), 641–652.

    Google Scholar 

  • Wood MP, Gonzalez LM, Izquierdo J, Sarasquete A, Rojas LP (2007). RANSE with free surface computations around fixed DTMB 5415 model and other Baliño’s fishing vessels. The 9th International Conference on Numerical Ship Hydrodynamics, Ann Arbor, Michigan, USA, 1–13

    Google Scholar 

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Correspondence to Deddy Chrismianto.

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Foundation item: Support by Ministry of Research, Technology, and Higher Education Republic of Indonesia, through the Budget Implementation List (DIPA) of Diponegoro University, Grant No. DIPA-023.04.02.189185/2014, December 05, 2013.

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Chrismianto, D., Zakki, A.F., Arswendo, B. et al. Development of cubic Bezier curve and curve-plane intersection method for parametric submarine hull form design to optimize hull resistance using CFD. J. Marine. Sci. Appl. 14, 399–405 (2015). https://doi.org/10.1007/s11804-015-1324-8

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  • DOI: https://doi.org/10.1007/s11804-015-1324-8

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