TY  - JOUR
TT  - Modeling of The Effects of Plug T ip Angle on The Performance of Counter-Flow Ranque–Hilsch Vortex Tubes Using Artificial Neural Networks
AU  - Dincer, Kevser
AU  - Taşdemir, Şakir
AU  - Başkaya, Şenol
AU  - Uysal, B. Zühtü
PY  - 2008
DA  - June
JF  - Isı Bilimi ve Tekniği Dergisi
PB  - Türk Isı Bilimi ve Tekniği Derneği
WT  - DergiPark
SN  - 1300-3615
SP  - 1
EP  - 7
VL  - 28
IS  - 2
KW  - Ranque–Hilsch vorteks tüp
KW  - Performans
KW  - Yapay sinir ağları.
N2  - 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, ξ and ∅, output parameter is ΔT. 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.
UR  - https://dergipark.org.tr/tr/pub/isibted/issue//375529
L1  - https://dergipark.org.tr/tr/download/article-file/399857
ER  -