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%.
Highlights
In order to maintain on constant pressure difference of refrigeration system between the evaporator and the condenser, expansion device has been using
One of expansion devices is capillary tube which is using to reducing the high pressure to low pressure in small the air conditioning and the refrigeration systems
The enthalpy remains constant as a result of continuous flow of refrigerant but there will be a progressive decrease in pressure. This results in refrigerant becoming tow-phase and the quality increases with capillary tube length
Summary
In order to maintain on constant pressure difference of refrigeration system between the evaporator and the condenser, expansion device has been using. Mittal et al [3] They were studied the influence of spiral pitch on length of capillary tube and refrigerant mass flow rate for two kinds of refrigerant (R-22 & R-407C) as working fluid. Wang et al [4] numerically simulated the adiabatic capillary tubes coiled in systems of CO2 transcritical containing the metastable flow They found that using Churchill and Lin correlations model can provide 1.8% more than for CO2 experimental results. The numerical simulation model permits to investigate different aspects for example type of fluid, geometry, transient cases, metastable regions, non-critical and critical flow operating conditions. The enthalpy remains constant as a result of continuous flow of refrigerant (adiabatic situation) but there will be a progressive decrease in pressure This results in refrigerant becoming tow-phase and the quality increases with capillary tube length. The statistical parameter squared correlation coefficient (R2) is more used in arbitrating regression equations [11]
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