Browsing by Author "Uluer, O"
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Item STATISTICAL ASSESSMENT OF COUNTER-FLOW VORTEX TUBE PERFORMANCE FOR DIFFERENT NOZZLE NUMBERS, COLD MASS FRACTIONS, AND INLET PRESSURES VIA TAGUCHI METHODPinar, AM; Uluer, O; Kirmaci, VIn this article, the effect and optimization of process parameters in a counter-flow vortex tube on temperature difference were investigated through the Taguchi method. The experiments were planned as per Taguchi's L27 orthogonal array with each experiment performed under different conditions of inlet pressure, nozzle number, and cold mass fraction. By means of analysis of variance and regression analysis, the effects of factors and their interactions on temperature difference were determined and modeled with a correlation coefficient of 93.5%. Accordingly, it was observed that temperature difference goes up with the increase in inlet pressure, and the cold mass fraction and decreases with the increase in nozzle number. In addition, the optimum settings of process parameters maximizing the temperature difference are an inlet pressure of 650 kPa, a nozzle number of 2, and a cold mass fraction of 0.7. Finally, confirmation tests verified that the Taguchi method was successful in the assessment of vortex tube parameters for temperature difference.Item Optimization of counter flow Ranque-Hilsch vortex tube performance using Taguchi methodPinar, AM; Uluer, O; Kirmaci, VThis study discusses the application of Taguchi method in assessing maximum temperature gradient for the Ranque-Hilsch counter flow vortex tube performance. The experiments were planned based on Taguchi's L27 orthogonal array with each trial performed under different conditions of inlet pressure, nozzle number and fluid type. Signal-to-noise ratio (SIN) analysis, analysis of variance (ANOVA) and regression analysis were carried out in order to determine the effects of process parameters and optimal factor settings. Finally, confirmation tests verified that Taguchi method achieved optimization of counter flow Ranque-Hilsch vortex tube performance with sufficient accuracy. (C) 2009 Elsevier Ltd and IIR. All rights reserved.