Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm
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 requirem...
Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2015
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Online Access: | http://eprints.utm.my/59426/1/NMohdGhazali2015_PredictionoftheOptimizedFrictionalPressure.pdf |
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author | Mohd Ghazali, N. Pamitran, A. S. Novianto, S. Khabibah, U. Alhamid, M. I. |
author_facet | Mohd Ghazali, N. Pamitran, A. S. Novianto, S. Khabibah, U. Alhamid, M. I. |
author_sort | Mohd Ghazali, N. |
collection | ePrints |
description | 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. |
first_indexed | 2024-03-05T19:45:20Z |
format | Conference or Workshop Item |
id | utm.eprints-59426 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T19:45:20Z |
publishDate | 2015 |
record_format | dspace |
spelling | utm.eprints-594262021-10-07T03:31:53Z http://eprints.utm.my/59426/ Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm Mohd Ghazali, N. Pamitran, A. S. Novianto, S. Khabibah, U. Alhamid, M. I. TJ Mechanical engineering and machinery 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. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/59426/1/NMohdGhazali2015_PredictionoftheOptimizedFrictionalPressure.pdf Mohd Ghazali, N. and Pamitran, A. S. and Novianto, S. and Khabibah, U. and Alhamid, M. I. (2015) Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm. In: 7th International Conference on Applied Energy, ICAE 2015, 28-31 March 2015, Abu Dhabi, UAE. |
spellingShingle | TJ Mechanical engineering and machinery Mohd Ghazali, N. Pamitran, A. S. Novianto, S. Khabibah, U. Alhamid, M. I. Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm |
title | Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm |
title_full | Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm |
title_fullStr | Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm |
title_full_unstemmed | Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm |
title_short | Prediction of the optimized frictional pressure drop in a two-phase flow small-channel with genetic algorithm |
title_sort | prediction of the optimized frictional pressure drop in a two phase flow small channel with genetic algorithm |
topic | TJ Mechanical engineering and machinery |
url | http://eprints.utm.my/59426/1/NMohdGhazali2015_PredictionoftheOptimizedFrictionalPressure.pdf |
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