Main Article Content
The performance of the perforated plates in fluid-flow applications is evaluated by measuring the pressure drop of the working fluid. The purpose of this investigation is to determine how different parameters affect the capability of the perforated plates and modify the design by using a design of experiment analysis, namely Taguchi method for optimization. The flow characteristics, which were obtained by the Computational Fluid Dynamics (CFD) software package ANSYS-CFX, were used for this analysis.
The design parameters which affect the pressure loss are Reynolds number (A), porosity (B), non-dimensional thickness of the plate (C) and hole pattern (D). The level of importance of the design parameters are determined by use of analysis of variance method, ANOVA. According to the analysis, the optimum values are obtained for the case A8B2C2D1 (Re = 15000, porosity = 50.3, t/D = 1, and staggered hole). The most effective design parameter on the results is found as porosity (92%), while the least effective is the hole pattern (0.2%). A special dividend of this work was to demonstrate the capabilities of the Taguchi Method as a powerful means of increasing the effectiveness of numerical simulation.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors retain copyright of the published article and have the right to use the article in the ways permitted to third parties under the - Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC BY-NC-ND) licence. Full bibliographic information (authors, article title, journal title, volume, issue, pages) about the original publication must be provided and a link must be made to the article's DOI.
The authors and third parties who wish use the article in a way not covered by the the -Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC BY-NC-ND) licence must obtain a written consent of the publisher. This license allows others to download the paper and share it with others as long as they credit the journal, but they cannot change it in any way or use it commercially.
Authors grant to the publisher the right to publish the article, to be cited as its original publisher in case of reuse, and to distribute it in all forms and media.
 Rao, R.S., et al., The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal, Biotechnology Journal, 3(4) (2008), pp.510-523.
 Rao, R.S., et al., Xylitol production by Candida sp.: parameter optimization using Taguchi approach, Process Biochemistry, 39(8) (2004), pp.951–956.
 Selden, P.H. Sales Process Engineering: A Personal Workshop, ASQ Quality Press. Milwaukee, WI, USA, 1997.
 Vuchkov, I.N. and Boyadjieva, L.N., Quality Improvement with Design of Experiments: A Response Surface Approach, Kluwer Academic Publishers, Dordrecht, the Netherlands, 2001.
 Philip, J.R., Taguchi Techniques for Quality Engineering, McGraw Hill Co, New York, USA, 1996.
 Chua, M.S., et al., Determination of optimal cutting conditions using design of experiments and optimization techniques, International Journal of machine Tools Manufacturing, 33(2) (1993), pp.297– 305.
 Lee, S.H. and Lee, S.H., Optimization of cutting parameters for burr minimization in face-milling operations, International Journal of Products Researches, 41(3) (2003), pp.497–511.
 Bayazit, Y., et al., Perforated plates for fluid management: Plate geometry effects and flow regimes, International Journal of Thermal Sciences, 85 (2014), pp.104-111.
 Menter, F., Two-equation eddy-viscosity turbulence models for engineering applications, AIAA Journal, 32 (1994), 1598-1605.
 Roy, R.K., Design of Experiments Using the Taguchi Approach: 16 Steps to Product and Process Improvement, John Wiley & Sons Inc. New York, USA, 2001.