Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm
Matrix Heat Exchanger is having wide spread applications in cryogenics and aerospace, where high effectiveness and compactness is essential. This can be achieved by providing high thermal conductive plates and low thermal conductive spacers alternately. These perforated plate matrix heat exchangers...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2017-01-01
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| Series: | International Journal for Simulation and Multidisciplinary Design Optimization |
| Subjects: | |
| Online Access: | https://doi.org/10.1051/smdo/2016011 |
| _version_ | 1818654964153581568 |
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| author | John Anish K. Krishnakumar K. |
| author_facet | John Anish K. Krishnakumar K. |
| author_sort | John Anish K. |
| collection | DOAJ |
| description | Matrix Heat Exchanger is having wide spread applications in cryogenics and aerospace, where high effectiveness and compactness is essential. This can be achieved by providing high thermal conductive plates and low thermal conductive spacers alternately. These perforated plate matrix heat exchangers have near to 100% efficiency due to low longitudinal heat transfer. The heat transfer and flow friction characteristics of a perforated plate matrix heat exchanger can be represented using Colburn factor and friction factor. In this paper, dimensionless parameters like Reynolds number (Re), porosity (p), perforation perimeter factor (P
f), plate thickness to pore diameter ratio (l/d) and spacer thickness to plate thickness ratio (s/l) have been optimized for maximum Colburn factor and minimum friction factor using genetic algorithm. Two algorithms, one for single objective and the other for multi-objective problems, which are believed to be more efficient, are described. The algorithms coded with MATLAB, is used to perform multi-objective optimization on perforated plate matrix heat exchanger surfaces. The results show promising results. |
| first_indexed | 2024-12-17T03:02:09Z |
| format | Article |
| id | doaj.art-5d663d25a0da4e6a81418ed17de252b2 |
| institution | Directory Open Access Journal |
| issn | 1779-627X 1779-6288 |
| language | English |
| last_indexed | 2024-12-17T03:02:09Z |
| publishDate | 2017-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | International Journal for Simulation and Multidisciplinary Design Optimization |
| spelling | doaj.art-5d663d25a0da4e6a81418ed17de252b22022-12-21T22:06:03ZengEDP SciencesInternational Journal for Simulation and Multidisciplinary Design Optimization1779-627X1779-62882017-01-018A310.1051/smdo/2016011smdo160005Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithmJohn Anish K.Krishnakumar K.Matrix Heat Exchanger is having wide spread applications in cryogenics and aerospace, where high effectiveness and compactness is essential. This can be achieved by providing high thermal conductive plates and low thermal conductive spacers alternately. These perforated plate matrix heat exchangers have near to 100% efficiency due to low longitudinal heat transfer. The heat transfer and flow friction characteristics of a perforated plate matrix heat exchanger can be represented using Colburn factor and friction factor. In this paper, dimensionless parameters like Reynolds number (Re), porosity (p), perforation perimeter factor (P f), plate thickness to pore diameter ratio (l/d) and spacer thickness to plate thickness ratio (s/l) have been optimized for maximum Colburn factor and minimum friction factor using genetic algorithm. Two algorithms, one for single objective and the other for multi-objective problems, which are believed to be more efficient, are described. The algorithms coded with MATLAB, is used to perform multi-objective optimization on perforated plate matrix heat exchanger surfaces. The results show promising results.https://doi.org/10.1051/smdo/2016011Matrix Heat ExchangerColburn factorfriction factorOptimizationGenetic AlgorithmPerforated plate |
| spellingShingle | John Anish K. Krishnakumar K. Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm International Journal for Simulation and Multidisciplinary Design Optimization Matrix Heat Exchanger Colburn factor friction factor Optimization Genetic Algorithm Perforated plate |
| title | Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm |
| title_full | Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm |
| title_fullStr | Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm |
| title_full_unstemmed | Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm |
| title_short | Performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm |
| title_sort | performing multiobjective optimization on perforated plate matrix heat exchanger surfaces using genetic algorithm |
| topic | Matrix Heat Exchanger Colburn factor friction factor Optimization Genetic Algorithm Perforated plate |
| url | https://doi.org/10.1051/smdo/2016011 |
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