Open AccessModeling the Performance of Vortex Tube using Response Surface Methodology and Artificial Neural Networks
Author(s) -
G. Suresh Kumar,
Bale V. Reddy,
G. Sankaraiah,
P. Venkateshwar Reddy
Publication year - 2018
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/390/1/012010
Subject(s) - response surface methodology , vortex tube , nozzle , body orifice , artificial neural network , inlet , materials science , mechanics , tube (container) , volumetric flow rate , absolute deviation , box–behnken design , mathematics , mechanical engineering , thermodynamics , vortex , physics , engineering , composite material , computer science , statistics , machine learning