Dincer, K.Tasdemir, S.Baskaya, S.Uysal, B. Z.2020-03-262020-03-2620081359-4311https://dx.doi.org/10.1016/j.applthermaleng.2008.01.016https://hdl.handle.net/20.500.12395/22519In 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.en10.1016/j.applthermaleng.2008.01.016info:eu-repo/semantics/closedAccessRanque-Hilsch vortex tubePerformanceArtificial neural networkArticle2817-1823802390Q1WOS:000259881700029Q2