Abstract
In this study, a simulation-based optimization technique is employed to reduce nanoparticle deposition rate in a 90° square duct system. Nanoparticle deposition in the 90° bend pipe is highly influenced by bend radius, aspect ratio, airflow velocity, nanoparticle size, and mass flow rate. These factors are optimized for minimum deposition rate through Taguchi’s signal to noise ratio analysis and response surface methodology (RSM). L27 orthogonal array is employed in Taguchi's technique, and a central composite with 32 trials is used in the RSM technique. All the above cases are numerically simulated in computational fluid dynamics (CFD) tool using large eddy simulation (LES) and discrete phase model (DPM) for turbulence modeling. The minimum deposition rate of nanoparticles on the bend of a 90° square duct is predicted as 0.1389 through a confirmative test conducted for the best optimum values. The bend radius is the most influencing factor in the ANOVA analysis of deposition rate, and the other factors have shown the least influence on the deposition rate of nanoparticles.
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