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N.Z Aung
Department of Mechanical Engineering, Mandalay Technology University
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Mathematics

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Developing a Generalized Combined Model for Gas-liquid Two-phase Flow Pressure Drop in Elbow Bends N.Z Aung; T Yuwono
ASEAN Journal on Science and Technology for Development Vol. 29 No. 2 (2012): ASEAN Journal on Science and Technology for Development (AJSTD)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (642.229 KB) | DOI: 10.29037/ajstd.55

Abstract

In this work, a generalized combined model was proposed for prediction of two-phase flow pressure drop in elbow bends. In this proposed model, restriction, frictional and elevational losses were considered separately. The frictional and static losses were approached by using Lockhart_Martinelli correlation. This model was tested to predict the pressure drop across the elbows with inside diameter of 0.036 m and R/D = 0.6, 2.5. The superficial liquid velocity was varied in the range of0.3~1.1 m/s and volumetric gas quality was varied from 0.02~0.3. The results from this model had good predictions with a maximum error of ±13% for long elbow bends and showed great discrepancy with a peak error of –50% for short elbow bends. The model is reliably acceptable for the elbow bends with relative radius (R/D) greater than 2 at volumetric gas fractions less than 0.3.
Evaluation of Mixture Viscosity Models in the Prediction of Two-phase Flow Pressure Drops N.Z Aung; T Yuwono
ASEAN Journal on Science and Technology for Development Vol. 29 No. 2 (2012): ASEAN Journal on Science and Technology for Development (AJSTD)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (662.051 KB) | DOI: 10.29037/ajstd.58

Abstract

Nine existing mixture viscosity models were tested for predicting a two-phase pressure drop for oil-water flow and refrigerant (R.134a) flow. The predicted data calculated by using these mixture viscosity models were compared with experimental data. Predicted data from using one group of mixture viscosity models had a good agreement with the experimental data for oil-water two-phase flow. Another group of viscosity models was preferable for gas-liquid flow, but these models gave underestimated values with an error of about 50%. A new and more reliable mixture viscosity model was proposed for use in the prediction of pressure drop in gas-liquid two-phase flow.
Co-Authors T Yuwono T Yuwono