Enhancement of thermal and flow characteristics in helically coiled tubes with corrugated surfaces by Genetic Algorithm based optimization

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dc.authoridDalkilic, Ahmet Selim/0000-0002-5743-3937
dc.authoridKirkar, Safak Metin/0000-0001-8800-8477
dc.contributor.authorKirkar, Safak Metin
dc.contributor.authorGonul, Alisan
dc.contributor.authorDalkilic, Ahmet Selim
dc.date.accessioned2024-12-24T19:27:14Z
dc.date.available2024-12-24T19:27:14Z
dc.date.issued2024
dc.departmentSiirt Üniversitesi
dc.description.abstractThis study investigates the combined use of helically coiled tubes and corrugated surface structures as two different heat transfer enhancement techniques. Both the curvature ratio and corrugation form swirl and secondary flows, resulting in higher heat transfer rates. The effects of pitch and depth of corrugation on the performance evaluation criteria, Nusselt number, and friction factor are studied parametrically at different Reynolds numbers. A multi -objective optimization is performed to obtain the best thermal-hydraulic performance, and a sensitivity analysis is conducted to investigate how wall corrugation specifications affect performance. The numerical results indicate that corrugated helically coiled tubes have significantly higher thermal and hydraulic performance at Reynolds numbers lower than 2300 compared to smooth plain tubes. The corrugated coiled tubes can improve Nusselt numbers by up to 7.39, 2.02, and 1.84 compared to the smooth plain, corrugated plain, and smooth coiled tubes of the same size, respectively. They can also improve friction factors by up to 33.26, 1.82, and 10.42, and performance evaluation criteria by up to 2.83, 1.66, and 1.09. The proposed novel correlations are the first and fourth in the literature, respectively, for predicting the Nusselt number and friction factor of corrugated helically coiled tubes. Based on 240 data points that were acquired via parametric and optimization studies, these correlations have been established within 10% error margins.
dc.description.sponsorshipDepartment of Scientific Research Projects Coordination at Yildiz Technical University [FOA-2019-3582]
dc.description.sponsorshipThis work was supported by the Department of Scientific Research Projects Coordination at Yildiz Technical University under project with number of FOA-2019-3582.
dc.identifier.doi10.1016/j.ijheatfluidflow.2024.109305
dc.identifier.issn0142-727X
dc.identifier.issn1879-2278
dc.identifier.scopus2-s2.0-85184138272
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1016/j.ijheatfluidflow.2024.109305
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6538
dc.identifier.volume106
dc.identifier.wosWOS:001182399500001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofInternational Journal of Heat and Fluid Flow
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectHelically coiled tube
dc.subjectCorrugated surface
dc.subjectHeat transfer augmentation
dc.subjectGenetic Algorithm
dc.subjectOptimization
dc.subjectResponse Surface Methodology
dc.titleEnhancement of thermal and flow characteristics in helically coiled tubes with corrugated surfaces by Genetic Algorithm based optimization
dc.typeArticle

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