Overall heat transfer coefficient optimization in a spiral-plate heat exchanger
Heat exchangers are widely used in the industry to allow the heat transfer between two fluids. For that reason, correctly sizing said devices poses a design problem in order to guarantee the efficiency and appropriate conditions of the equipment and the processes. In this paper, the geometry of a sp...
- Autores:
-
Rodriguez-Cabal, M A
Arias Londoño, A
Ardila-Marin, J G
Grisales-Noreña L.F.
Castro-Vargas, A
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10001
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/10001
https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/012012
- Palabra clave:
- Entropy
Heat transfer
Energy
Entransy
Entropy
Spiral plate heat exchangers
Spiral turns
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv |
Overall heat transfer coefficient optimization in a spiral-plate heat exchanger |
title |
Overall heat transfer coefficient optimization in a spiral-plate heat exchanger |
spellingShingle |
Overall heat transfer coefficient optimization in a spiral-plate heat exchanger Entropy Heat transfer Energy Entransy Entropy Spiral plate heat exchangers Spiral turns LEMB |
title_short |
Overall heat transfer coefficient optimization in a spiral-plate heat exchanger |
title_full |
Overall heat transfer coefficient optimization in a spiral-plate heat exchanger |
title_fullStr |
Overall heat transfer coefficient optimization in a spiral-plate heat exchanger |
title_full_unstemmed |
Overall heat transfer coefficient optimization in a spiral-plate heat exchanger |
title_sort |
Overall heat transfer coefficient optimization in a spiral-plate heat exchanger |
dc.creator.fl_str_mv |
Rodriguez-Cabal, M A Arias Londoño, A Ardila-Marin, J G Grisales-Noreña L.F. Castro-Vargas, A |
dc.contributor.author.none.fl_str_mv |
Rodriguez-Cabal, M A Arias Londoño, A Ardila-Marin, J G Grisales-Noreña L.F. Castro-Vargas, A |
dc.subject.keywords.spa.fl_str_mv |
Entropy Heat transfer Energy Entransy Entropy Spiral plate heat exchangers Spiral turns |
topic |
Entropy Heat transfer Energy Entransy Entropy Spiral plate heat exchangers Spiral turns LEMB |
dc.subject.armarc.none.fl_str_mv |
LEMB |
description |
Heat exchangers are widely used in the industry to allow the heat transfer between two fluids. For that reason, correctly sizing said devices poses a design problem in order to guarantee the efficiency and appropriate conditions of the equipment and the processes. In this paper, the geometry of a spiral-plate heat exchanger is optimized by means of a particle swarm optimization algorithm, whose objective function is the maximization of the overall heat transfer coefficient. The process variables considered in the model were channel spacing, spiral length, spiral width, and wall thickness. The mathematical model and the particle swarm optimization were programmed in Matlab®, where the parameters and the constraints were defined, limiting the pressure drop and guaranteeing the heat transfer required for a study case taken from Minton's work. In this study, the overall heat transfer coefficient was increased by 12.73% in comparison with the original design. |
publishDate |
2020 |
dc.date.issued.none.fl_str_mv |
2020 |
dc.date.accessioned.none.fl_str_mv |
2021-02-15T16:18:38Z |
dc.date.available.none.fl_str_mv |
2021-02-15T16:18:38Z |
dc.date.submitted.none.fl_str_mv |
2021-02-12 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/lecture |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.spa.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_8544 |
status_str |
publishedVersion |
dc.identifier.citation.spa.fl_str_mv |
M A Rodriguez-Cabal et al 2020 J. Phys.: Conf. Ser. 1671 01201 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/10001 |
dc.identifier.url.none.fl_str_mv |
https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/012012 |
dc.identifier.doi.none.fl_str_mv |
10.1088/1742-6596/1671/1/012012 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Universidad Tecnológica de Bolívar |
identifier_str_mv |
M A Rodriguez-Cabal et al 2020 J. Phys.: Conf. Ser. 1671 01201 10.1088/1742-6596/1671/1/012012 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
url |
https://hdl.handle.net/20.500.12585/10001 https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/012012 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.cc.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.none.fl_str_mv |
7 páginas |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.place.spa.fl_str_mv |
Cartagena de Indias |
dc.source.spa.fl_str_mv |
Journal of Physics: Conference Series 1671 (2020) 012012 |
institution |
Universidad Tecnológica de Bolívar |
bitstream.url.fl_str_mv |
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Rodriguez-Cabal, M A1be89097-913e-4af3-9487-97492a811f34Arias Londoño, A31bcb75b-a482-4477-aacb-274dc59768d3Ardila-Marin, J G6db261c2-a094-4eda-aa79-2d0bad94dce1Grisales-Noreña L.F.98ba5e2d-fa38-40c5-a05c-d73772e8ab17Castro-Vargas, A4b28e956-c1b0-4912-b6c9-893de5d1732f2021-02-15T16:18:38Z2021-02-15T16:18:38Z20202021-02-12M A Rodriguez-Cabal et al 2020 J. Phys.: Conf. Ser. 1671 01201https://hdl.handle.net/20.500.12585/10001https://iopscience.iop.org/article/10.1088/1742-6596/1671/1/01201210.1088/1742-6596/1671/1/012012Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarHeat exchangers are widely used in the industry to allow the heat transfer between two fluids. For that reason, correctly sizing said devices poses a design problem in order to guarantee the efficiency and appropriate conditions of the equipment and the processes. In this paper, the geometry of a spiral-plate heat exchanger is optimized by means of a particle swarm optimization algorithm, whose objective function is the maximization of the overall heat transfer coefficient. The process variables considered in the model were channel spacing, spiral length, spiral width, and wall thickness. The mathematical model and the particle swarm optimization were programmed in Matlab®, where the parameters and the constraints were defined, limiting the pressure drop and guaranteeing the heat transfer required for a study case taken from Minton's work. In this study, the overall heat transfer coefficient was increased by 12.73% in comparison with the original design.7 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Journal of Physics: Conference Series 1671 (2020) 012012Overall heat transfer coefficient optimization in a spiral-plate heat exchangerinfo:eu-repo/semantics/lectureinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_8544http://purl.org/coar/version/c_970fb48d4fbd8a85EntropyHeat transferEnergyEntransyEntropySpiral plate heat exchangersSpiral turnsLEMBCartagena de IndiasInvestigadoresÇengel Y, Boles M 2006 Thermodynamics an Engineering Approach 8th Edition (New York: McGraw Hill)Azad A V, Amidpour M 2011 Economic optimization of shell and tube heat exchanger based on constructal theory Energy 36(2) 1087–1096Incropera F P, DeWitt D P 2009 Fundamentos de la Transferencia de Calor 4 Edition (México: Prentice Hall)Gallego R A, Escobar A H, Toro E M 2008 Técnicas Metaheurísticas de Optimización 2nd Edition (Pereira: Universidad Tecnológica de Pereira)Fettaka S, Thibault J, Gupta Y 2013 Design of shell-and-tube heat exchangers using multiobjective optimization Int. J. Heat Mass Transf. 60(1) 343–354Segundo E, Mariani V, Coelho L 2015 Spiral heat exchanger optimization using wind driven algorithm XII Simpósio Brasileiro de Automação Inteligente (XII SBAI) (Natal: Universidade Federal do Rio Grande do Norte)Patel V K, Rao R V 2010 Design optimization of shell-and-tube heat exchanger using particle swarm optimization technique Appl. Therm. Eng. 30(11–12) 1417–1425Lord Minton R C, Slusser R P 1970 Design of heat exchangers Chem. Eng. 77(2) 96-118Vasconcelos Segundo E H, Mariani V C, dos Santos Coelho L 2018 Design of spiral heat exchanger from economic and thermal point of view using a tuned wind-driven optimizer J. Brazilian Soc. Mech. Sci. Eng. 40(4) 212Perry S, Perry R, Green D, Maloney J 1997 Perry’s Chemical Engineers’ Handbook 7th Edition (New York: McGraw-Hill)Kennedy J, Eberhart R 1995 Particle swarm optimization Neural Networks Proceedings of ICNN'95- International Conference on Neural Networks (Australia: IEEE)Moraes A O S, Mitre J F, Lage P L C, Secchi A R 2015 A robust parallel algorithm of the particle swarm optimization method for large dimensional engineering problems Appl. Math. 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