Prediction of the Optimized Frictional Pressure Drop in a Two-phase Flow Small-channel with Genetic Algorithm

N. Mohd-Ghazali, Agus Sunjarianto Pamitran, S. Novianto, U. Khabibah, Muhammad Idrus Alhamid

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Research in energy and material efficiencies has never been more important due to the current global policies towards a sustainable future. Compact heat exchangers involving the complexities of two-phase flows, with their decreasing channel size and low environmentally friendly coolant mass requirement, necessitate intensive investigations into the significant wall friction which must be balanced by the heat transfer capability. This paper reports the initial study into the feasibility of using the fast growing optimization tool of genetic algorithm in predicting the minimized frictional pressure drop across a small channel under optimized vapor quality and mass flow rate. Both the single-objective and double-objective optimizations have been completed. The former involves minimizing the frictional pressure drop and the latter involves minimizing the frictional pressure drop as well as the Martinelli-Lockhart parameter. The single objective optimization and double objective optimization scheme applied show promise with similar trends observed as those that have been previously reported.

Original languageEnglish
Pages (from-to)1431-1435
Number of pages5
JournalEnergy Procedia
Volume75
DOIs
Publication statusPublished - 1 Jan 2015
Event7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates
Duration: 28 Mar 201531 Mar 2015

Keywords

  • Genetic algorithm
  • Pressure drop
  • Small channel
  • Two-phase

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