Akademik Veri Yönetim Sistemi
ISI BILIMI VE TEKNIGI DERGISI-JOURNAL OF THERMAL SCIENCE AND TECHNOLOGY, cilt.28, sa.2, ss.1-7, 2008 (SCI-Expanded)
In this study, by making use of experimental data, the effect of plug tip angle at the hot outlet section of a counter flow Ranque-Hilsch vortex tube (RHVT) on performance has been modeled using artificial neural network (ANN). In the modeling, data which were obtained from experimental studies in a laboratory environment have been used. In the system developed, ANN apply input parameters are P, and 0, output parameter is AT. When the results obtained from ANN and statistical analyses of experimental data have been compared, it has been determined that the two groups of data are coherent, and that there is not a significant difference between them. As a result, this study indicates that ANN can be safely used for RHVTs and thus it can decrease many experimental disadvantages to a minimum level.