COMPARISON STUDY BETWEEN THEORETICAL ANALYSIS AND ARTIFICIAL NEURAL NETWORK OF THE CAPILLARY TUBE

Year 2021, , 690 - 699, 01.03.2021

Basim Freegah Ammar A. Hussain Ahmed Ramadhan Al-obaidi

https://doi.org/10.18186/thermal.889368

Cited By: 1

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%.

Keywords

Capillary Tube, Refrigerant Cycle, Physical Properties of Refrigerant, ANN Technique

Thanks

The authors would like to thank Mustansiriyah University (www.uomustansiriyah.edu.iq) in Baghdad – Iraq for its support in the present work.

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