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http://dx.doi.org/10.7837/kosomes.2014.20.4.419

Effect of Grid, Turbulence Modeling and Discretization on the Solution of CFD  

Park, Dong-Woo (Dept. of Naval Architecture & Ocean Engineering, Tongmyong University)
Yoon, Hyun-Sik (Global Core Research Center for Ships and Offshore Plants, Pusan National University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.20, no.4, 2014 , pp. 419-425 More about this Journal
Abstract
The current work investigated the variation of numerical solutions according to the grid number, the distance of the first grid point off the ship surface, turbulence modeling and discretization. The subject vessel is KVLCC. A commercial code, Gridgen V15 and FLUENT were used the generation of the ship hull surface and spatial system and flow computation. The first part of examination, the effect of solutions were accessed depending on the grid number, turbulence modeling and discretization. The second part was focus on the suitable selection of the distance of the first grid point off the ship surface: $Y_P+$. When grid number and discretization were fixed the same value, the friction resistance showed differences within 1 % but the pressure resistance showed big differences 9 % depending on the turbulence modeling. When $Y_P+$ were set 30 and 50 for the same discretization, friction resistance showed almost same results within 1 % according to the turbulence modeling. However, when $Y_P+$ were fixed 100, friction resistance showed more differences of 3 % compared to $Y_P+$ of 30 and 50. Whereas pressure resistance showed big differences of 10 % regardless of turbulence modeling. When turbulence modeling and discretization were set the same value, friction, pressure and total resistance showed almost same result within 0.3 % depending on the grid number. Lastly, When turbulence modeling and discretization were fixed the same value, the friction resistance showed differences within 5~8 % but the pressure resistance showed small differences depending on the $Y_P+$.
Keywords
Flow computation; Grid number; Distance of the first grid point off the ship surface; Turbulence modeling; Discretization; KVLCC;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 Kim, B. N., W. J. Kim, K. S. Kim and I. R. Park(2009), The Comparison of Flow Simulation Results around a KLNG, Journal of SNAK, Vol. 46, No. 3, pp. 219-231.   과학기술학회마을   DOI   ScienceOn
2 Choi, J. K. and H. T. Kim(2010), A Study of using Wall Function for Numerical Analysis of High Reynolds Number Turbulent Flow, Journal of SNAK, Vol. 47, No. 5, pp. 647-655.   과학기술학회마을   DOI   ScienceOn
3 Fluent 6.3 User's Guide(2008), Fluent Inc.
4 Nah, Y. I., H. D. Bang and J. C. Park(2010), Numerical Simulation of Turbulent Wake Behind SUBOFF Model, Journal of SNAK, Vol. 47, No. 4, pp. 512-524.   과학기술학회마을   DOI   ScienceOn
5 Yang, H. Y., B. N. Kim, J. H. Yoo and W. J. Kim(2010), Wake Comparison between Model and Full Scale Ships Using CFD, Journal of SNAK, Vol. 47, No. 2, pp. 150-162.   과학기술학회마을   DOI   ScienceOn
6 Wilson, R. V., F. Stern, H. Coleman and E. Paterson(2001), Comprehensive Approach to verification and Validation of CFD Simulations-Part2: Application for RANS Simulation of a Cargo/Container Ship, "ASME Journal of Fluids Engineering, Vol. 123, pp. 803-810.   DOI   ScienceOn