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High-efficiency design of a tunnel ventilation jet fan through numerical optimization techniques

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Abstract

This paper describes a numerical optimization procedure for performance improvement of a tunnel ventilation jet fan. We employ optimization techniques based on a PRESS (predicted error sum of squares)-based-averaging (PBA) model to improve the aerodynamic performance of a tunnel ventilation jet fan. For numerical analyses, three-dimensional Reynolds-averaged Navier-Stokes (RANS) equations with a shear stress transport turbulence model are discretized using finite volume approximations and solved on hexahedral grids to evaluate the total efficiency at operating conditions as the objective function. Numerical results are verified by using experimental data for the total efficiency and the effective outlet velocity at operating conditions. Further, four geometric variables are used defining the meridional length and the thickness profile at the hub and shroud in the jet fan rotor as the design variables for numerical optimization. The results of numerical optimization show a significant improvement in the total efficiency of the optimum model in comparison with the base model.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Hanyang University, Seoul, Korea

    Joon-Hyung Kim & Joon-Yong Yoon

  2. Green Energy System Technology Center, KITECH, Cheonan, Korea

    Joon-Hyung Kim & Young-Seok Choi

  3. Department of Mechanical Engineering, Inha University, Incheon, Korea

    Jin-Hyuk Kim & Kwang-Yong Kim

  4. Technology Research Center, Samwon E&B, Shihung, Korea

    Sang-Ho Yang

Authors
  1. Joon-Hyung Kim
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  2. Jin-Hyuk Kim
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  3. Kwang-Yong Kim
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  4. Joon-Yong Yoon
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  5. Sang-Ho Yang
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  6. Young-Seok Choi
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Corresponding author

Correspondence to Young-Seok Choi.

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Recommended by Associate Editor Byeong Rog Shin

Joon-Hyung Kim received his B.S. and M.S. degrees from Hanyang University, Korea, in 2005 and 2007, respectively. He is pursuing his research towards the Ph.D in Fluid Mechanics at Hanyang University. And he is currently a researcher in the Korea Institute of Industrial Technology (KITECH). His research interests are computational fluid dynamics and design optimization of turbomachinery.

Jin-Hyuk Kim received his B.S. from Sunmoon University, Korea, in 2007, and his M.S, degree from Inha University, Korea, in 2009. Currently he is pursuing his research towards Ph.D degree in Thermodynamics and Fluid Mechanics at the Inha University. His research interests include design of turbomachinery, numerical analyses and optimization techniques.

Kwang-Yong Kim received the B.S. degree from Seoul National University in 1978, and the M.S. and Ph.D from the Korea Advanced Institute of Science and Technology (KAIST), Korea in 1981 and 1987, respectively. He is currently an Inha Fellow Professor in the School of Mechanical Engineering of the Inha University, Incheon, Korea. Professor Kim is also the current Editorin-Chief of the International Journal of Fluid Machinery and Systems (IJFMS). He is a Fellow of the American Society of Mechanical Engineers (ASME) and an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA).

Joon-Yong Yoon received his B.S. and M.S. degrees from the Hanyang University and Ph.D from the Univ. of Iowa in Mechanical Engineering. He is a professor of Mechanical Engineering at Hanyang University. His research areas are in CFD for applications, renewable energy, MEMS and flow control.

Sang-Ho Yang received his B.S. and M.S. degrees from the Korea Polytechnic University, in 2006 and 2008, He is concurrently a Ph.D candidate at Korea Polytechnic University. And he is a director in the Samwon E&B. His research interests are in design and experiment of fans.

Young-Seok Choi received his B.S. degree from Seoul National University in 1988, and his M.S. and Ph.D in Mechanical Engineering at the same university in 1990 and 1996, respectively. He is currently a principal researcher in KITECH. His research interests are in computational fluid dynamics and design optimization of turbomachinery.

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Kim, JH., Kim, JH., Kim, KY. et al. High-efficiency design of a tunnel ventilation jet fan through numerical optimization techniques. J Mech Sci Technol 26, 1793–1800 (2012). https://doi.org/10.1007/s12206-012-0420-9

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  • DOI: https://doi.org/10.1007/s12206-012-0420-9

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