Comparison Study Between Theoretical Analysis and Artificial Neural Network of the Capillary Tube

Abstract

The main purpose of expansion devices is reduced the higher pressure of the working fluid from the
 condenser pressure to the evaporator pressure. There are several kinds of expansion devices, one of these types is
 capillary tube which is common utilized in small size refrigeration systems. In this work, the effect of the diameter of
 capillary tube and mass flow rate of the refrigerant on the physical properties of the refrigerant within the capillary
 tube have been conducted. Moreover, an artificial neural network (ANN) technique has been utilized in order to
 clarify the possibility of applying this theory to the effect of such parameters on the results of the capillary tube. The
 study has been shown that there is a very good agreement between experimental and numerical results. The diameter
 and mass flow rate have impact on the length of the capillary tube, increase diameter leads to increase the capillary
 tube length while increase mass flow rate leads to decrease the length. Furthermore, the results shown that ANN
 technique can be employed to study the effect of such as parameters that considered in this on length of capillary
 tube. So, it can be using latter technique with accuracy 95%.

Experimental analysis of a transcritical heat pump system with CO2 refrigerant

“…The results of the first comparison between the physical properties of the capillary tube and the mass flow are emphasized. An increase in the diameter will result in an increase in the length of the capillary tube, and an increase in the mass flow rate will result in a decrease in the length [19]. El Achkar et al, In their work, they designed a system for the analysis of a cooling system working with conventional throttling and capillary injection.…”