Yazar "Uysal, B. Z." seçeneğine göre listele

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    Experimental investigation of the effects of length to diameter ratio and nozzle number on the performance of counter flow Ranque-Hilsch vortex tubes
    (SPRINGER, 2008) Dincer, K.; Baskaya, S.; Uysal, B. Z.
    In this experimental study, performance of counter flow type Ranque-Hilsch vortex tubes (RHVT), with a length to diameter ratio of 10, 15 and 18, were investigated with 2, 4, 6 nozzles. The measure of performance was chosen as the difference between the temperatures of hot output stream and cold output stream. The performances of RHVTs were experimentally tested by making use of velocity and temperature measurements of the input and output streams. It was determined that the difference between the temperatures of these streams, changed between 9 and 56 K. When all the results were assessed, it was concluded that the best performance was obtained when the ratio of vortex tube's length to the diameter was 15 and the nozzle number was at least four, and the inlet pressure was as high as possible. Desired performance could be obtained by controlling the rate of the hot output stream.
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    Experimental investigation of the performance of a Ranque-Hilsch vortex tube with regard to a plug located at the hot outlet
    (ELSEVIER SCI LTD, 2009) Dincer, K.; Baskaya, S.; Uysal, B. Z.; Ucgul, I.
    In this study, effects of position, diameter (5, 6, 7, 8 mm) and angle (30 degrees-180 degrees) of a mobile plug, located at the hot outlet side in a Ranque-Hilsch Vortex Tube (RHVT), were determined experimentally for best performance. In addition to plug parameters, effects of supply pressure (200-420 kPa) and number of nozzles (2, 4, 6) were also studied. The internal diameter (D) of the vortex tube used in the experiments was 9 mm; the ratio of the length of the vortex tube to its diameter (L/D) was 15. Four different plug locations were studied. The maximum difference in the temperatures of hot and cold streams was obtained for the plug diameter of 5 mm, tip angles of 30 degrees and 60 degrees, 4 nozzles and by keeping the plug location at the far extreme end. (C) 2008 Elsevier Ltd and IIR. All rights reserved.
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    Fuzzy Modeling of Performance of Counterflow Ranque-Hilsch Vortex Tubes with Different Geometric Constructions
    (TAYLOR & FRANCIS INC, 2008) Dincer, K.; Tasdemir, S.; Baskaya, S.; Ucgul, I.; Uysal, B. Z.
    In this article, we present the development of a fuzzy expert system (FES) for fuzzy modeling of the performance of counterflow Ranque-Hilsch vortex tubes for different geometric constructions. Experimental values were obtained from a detailed experimental investigation. With these experimental values, FES models of the Ranque-Hilsch vortex tube behavior were designed using the MATLAB 6.5 fuzzy logic toolbox in Windows XP running on an Intel 3.0-Ghz PC. For this process P, N, , and L/D were chosen as input and Th, Tc, T as output parameters. FES results agree well with experimental data. It was found that the coefficient of multiple determination (R2 value) between the actual and fuzzy predicted data is Th=0.9801, the R2 value for Tc values is 0.9841, and the R2 value for T values is 0.9748.
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    Modeling of the effects of length to diameter ratio and nozzle number on the performance of counterflow Ranque-Hilsch vortex tubes using artificial neural networks
    (PERGAMON-ELSEVIER SCIENCE LTD, 2008) Dincer, K.; Tasdemir, S.; Baskaya, S.; Uysal, B. Z.
    In this study, the effect of length to diameter ratio and nozzle number on the performance of a counterflow Ranque-Hilsch vortex tube has been modeled with artificial neural networks (ANN), by using experimental data. In the modeling, experimental data, which were obtained from experimental studies in a laboratory environment have been used. ANN has been designed by MATLAB 6.5 NN toolbox software in a computer environment working with Windows XP operating system and Pentium 4 2.4 GHz hardware. In the developed system outlet parameter Delta T has been determined using inlet parameters P, L/D, N and xi. When experimental data and results obtained from ANN are compared by statistical independent t-test in SPSS. it was determined that both groups of data are consistent with each other for P > 0.05 confidence interval, and differences were statistically not significant. Hence, ANN can be used Lis a reliable modeling method for similar Studies. (C) 2008 Elsevier Ltd. All rights reserved.