An empirical correlation and rating charts for the performance of adiabatic capillary tubes with alternative refrigerants

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43 Citations (Scopus)

Abstract

With the phaseout of conventional refrigerants, refrigeration and air conditioning systems must be redesigned to improve system performance and reliability with alternative refrigerants. In this study, a generalized correlation for the prediction of refrigerant flow rate through adiabatic capillary tubes is developed by generating dimensionless parameters for operating conditions, capillary tube geometry, and refrigerant properties using the Buckingham Pi theorem. The database for the present correlation includes extensive experimental data for R12, R22, R134a, R152a, R407C, and R410A obtained from the open literature. The present correlation, which has a relatively simpler form to employ, yields a mean deviation of 5.4% and a standard deviation of 6.5% from the database. In addition, rating charts for predicting refrigerant flow rate through adiabatic capillary tubes are generated for R12, R22, R134a, R152a, R407C, and R410A.

Original languageEnglish
Pages (from-to)29-41
Number of pages13
JournalApplied Thermal Engineering
Volume24
Issue number1
DOIs
Publication statusPublished - 2004 Jan 1

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Capillary tubes
Refrigerants
Flow of fluids
Flow rate
Refrigeration
Air conditioning
Geometry

Keywords

  • Adiabatic capillary tubes
  • Alternative refrigerants
  • Empirical correlation
  • Mass flow rate
  • Rating charts

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering

Cite this

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abstract = "With the phaseout of conventional refrigerants, refrigeration and air conditioning systems must be redesigned to improve system performance and reliability with alternative refrigerants. In this study, a generalized correlation for the prediction of refrigerant flow rate through adiabatic capillary tubes is developed by generating dimensionless parameters for operating conditions, capillary tube geometry, and refrigerant properties using the Buckingham Pi theorem. The database for the present correlation includes extensive experimental data for R12, R22, R134a, R152a, R407C, and R410A obtained from the open literature. The present correlation, which has a relatively simpler form to employ, yields a mean deviation of 5.4{\%} and a standard deviation of 6.5{\%} from the database. In addition, rating charts for predicting refrigerant flow rate through adiabatic capillary tubes are generated for R12, R22, R134a, R152a, R407C, and R410A.",
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N2 - With the phaseout of conventional refrigerants, refrigeration and air conditioning systems must be redesigned to improve system performance and reliability with alternative refrigerants. In this study, a generalized correlation for the prediction of refrigerant flow rate through adiabatic capillary tubes is developed by generating dimensionless parameters for operating conditions, capillary tube geometry, and refrigerant properties using the Buckingham Pi theorem. The database for the present correlation includes extensive experimental data for R12, R22, R134a, R152a, R407C, and R410A obtained from the open literature. The present correlation, which has a relatively simpler form to employ, yields a mean deviation of 5.4% and a standard deviation of 6.5% from the database. In addition, rating charts for predicting refrigerant flow rate through adiabatic capillary tubes are generated for R12, R22, R134a, R152a, R407C, and R410A.

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