Implementation of Mixed Refrigerants Suitability by using Radial Basis Function Neural Network
Abstract
This paper presents implementation of Radial basis
function (RBF) neural network to find out mixture of
Hydrofluorocarbon (HFC) and Hydrocarbon (HC) for obtaining
higher Coefficients of Performances (COPs). The thermodynamic
properties of refrigerants are obtained using REFPROP 9 software
that contains details of refrigerants. Different combinations of the
refrigerants along with their COPs are obtained by the REFPROP 9.
It consumes time in obtaining the correct combination of refrigerants
as lot of menu options have to be chosen in the REFPROP 9. In order
to make the process of finding out the correct mixed refrigerants with
less manual intervention, RBF is trained and tested with the patterns
of mixed refrigerants. The RBF mixed refrigerant analysis software
has been developed by using MATLAB 10.
Keywords
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