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{"references": ["F. Danbon, and C. Solliec, \"Aerodynamic Torque of a Butterfly\nValve-Influence of an Elbow on the Time-Mean and Instantaneous\nAerodynamic Torque,\" ASME J. Fluids Eng., Vol. 122, No. 2, 2000,\npp.337-344", "Z. Leutwyler, and C. Dalton, \"A Computational Study of Torque and\nForces Due to Compressible Flow on a Butterfly Valve Disk in\nMid-stroke Position,\" ASME J. Fluids Eng., Vol. 128, No. 5, 2006,\npp.1074-1082.", "C. C. Tsai, C. Y. Chang, and C. H. Tseng, \"Optimal Design of Metal\nSeated Ball Valve Mechanism,\" Struct. Multidisc. Optim., Vol. 26, No.\n3-4, 2004, pp.249-255.", "P. Duda, and R. Dwornicka, \"Optimization of Heating and Cooling\nOperations of Steam Gate Valve,\" Struct. Multidisc. Optim., Vol. 40, No.\n1-6, 2010, pp.529-535.", "J. Y. Park, and M. K. Chung, \"Study on Hydrodynamic Torque of a\nButterfly Valve,\" ASME J. Fluids Eng., Vol. 128, No. 1, 2006,\npp.190-195.", "X. G. Song, L. Wang, S. H. Baek, and Y. C. Park, \"Multidisciplinary\nOptimization of a Butterfly Valve,\" ISA Trans., Vol. 48, No. 3, 2009,\npp.370-377.", "M. P. Bendsoe, and N. Kikuchi, \"Generating Optimal Topologies in\nStructural Design Using a Homogenization Method,\" Comput. Meth.\nAppl. Mech. Eng., Vol. 71, No. 2, 1988, pp.197-224.", "M. I. Frecher, G. K. Ananthasuresh, S. Nishiwaki, N. Kikuchi, and S.\nKota, \"Topological Synthesis of Compliant Mechanisms Using\nMulti-Criteria Optimization,\" ASME J. Mech. Des., Vol. 119, No. 2,\n1997, pp.238-245.", "S. H. Baek, K. Y. Lee, S. S. Cho, D. Y. Jang, and W. S. Joo, \"Optimal\nDesign of Electric Vehicle Cross Beam for Adaptive Design of\nHomogenized Structure,\" Trans. of the KSAE, Vol. 12, No. 5, 2004,\npp.85-93.\n[10] ANSYS CFX, User Manual Release 12.1, ANSYS Inc., 2011.\n[11] T. J. Barth, and D. C. Jesperson, \"The Design and Application of Upwind\nSchemes on Unstructured Meshes,\" AIAA J., Vol. 89, No. 89-0366, 1989,\npp.1-12.\n[12] F. R. Menter, \"Two-equation Eddy-viscosity Turbulence Models for\nEngineering Applications,\" AIAA J., Vol. 32, No. 8, 1994,\npp.1598-1605.\n[13] M. S. Phadke, Quality Engineering Using Robust Design, Prentice Hall,\nEnglewood Cliffs, NJ, 1989.\n[14] S. H. Baek, S. H. Hong, S. S. Cho, D. Y. Jang, and W. S. Joo,\n\"Optimization of Process Parameters for Recycling of Mill Scale Using\nTaguchi Experimental Design,\" J. Mech. Sci. Technol., Vol.24, No.10,\n2010, pp.2127-2134.\n[15] A. R. Diaz, and N. Kikuchi, \"Solutions to Shape and Topology\nEigenvalue Optimization Problems using a Homogenization Method,\" Int.\nJ. Numer. Methods Eng., Vol. 35, 1992, pp.1487-1502.\n[16] ANSYS Theory Reference Release 11.0, SAS IP, Inc., 2007.\n[17] H. Behrooz, and H. Ernest, Homogenization and Structural Topology\nOptimization: Theory, Practice and Software, Springer-Verlag, 1999."]}
In this paper, the shape design process is briefly discussed emphasizing the use of topology optimization in the conceptual design stage. The basic idea is to view feasible domains for sensitivity region concepts. In this method, the main process consists of two steps: as the design moves further inside the feasible domain using Taguchi method, and thus becoming more successful topology optimization, the sensitivity region becomes larger. In designing a double-eccentric butterfly valve, related to hydrodynamic performance and disc structure, are discussed where the use of topology optimization has proven to dramatically improve an existing design and significantly decrease the development time of a shape design. Computational Fluid Dynamics (CFD) analysis results demonstrate the validity of this approach.
Topology optimization, CFD, Double-eccentric butterfly valve
Topology optimization, CFD, Double-eccentric butterfly valve
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