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dc.contributor.authorYıldız, Ersin
dc.contributor.authorBaşol, Altuğ Melik
dc.contributor.authorMengüç, Mustafa Pınar
dc.date.accessioned2020-11-23T11:05:22Z
dc.date.available2020-11-23T11:05:22Z
dc.date.issued2020-07
dc.identifier.issn0022-4073en_US
dc.identifier.urihttp://hdl.handle.net/10679/7127
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0022407319309434
dc.description.abstractHeat treatment processes have a major impact on the mechanical and structural properties of the end products. Accurate control of the material temperatures during the heating and cooling regimes is very crucial for the quality of a given production. However, especially in continuous heat treatment furnaces the products inside the furnace are rarely in thermal equilibrium with the furnace and monitoring the air temperature inside the furnace provides a very indirect information about the solid temperatures of the products. In this study, the solid temperatures of the products inside a continuous glassware annealing furnace model is solved numerically. The continuous furnace model is divided into heating and cooling sections each filled with rows of goblets and they are treated separately using a segregated modeling approach. In this approach, the convective heat transfer inside the furnace is modelled using a steady-state convection solver in stationary frame of reference. The transient heat conduction inside the moving goblets is calculated using a separate transient heat conduction solver in moving frame of reference. Thermal radiation exchange between the surfaces is treated using a new backward Monte Carlo based surface-to-surface radiation model and the calculated radiative heat fluxes are added as heat flux boundary conditions on the goblet outer walls. Similarly, the convective heat fluxes calculated with the convection solver are also imposed as heat flux boundary conditions. This iterative solution approach showed a fast convergence behavior requiring only 4 iterations to converge both for the heating and cooling sections of the furnace. The overall computational cost of the simulation is measured as 10 h and 20 h for the heating and cooling sections, respectively. Among all the three heat transfer modes, convection is found to be by far computationally the most expensive, followed by the thermal radiation and conduction being the computationally least expensive one. Overall, the approach enables to conduct high fidelity analysis of the heat treatment processes with acceptable computational cost.en_US
dc.description.sponsorshipTÜBİTAK ; Center of Energy, Environment and Economy (CEEE/ECEM) at Ozyegin University
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relationinfo:turkey/grantAgreement/TUBITAK/117M420
dc.relation.ispartofJournal of Quantitative Spectroscopy and Radiative Transfer
dc.rightsrestrictedAccess
dc.titleSegregated modeling of continuous heat treatment furnacesen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-7289-7246 & YÖK ID 249290) Başol, Altuğ
dc.contributor.authorID(ORCID 0000-0001-5483-587X & YÖK ID 141825) Mengüç, Pınar
dc.contributor.ozuauthorBaşol, Altuğ Melik
dc.contributor.ozuauthorMengüç, Mustafa Pınar
dc.identifier.volume249en_US
dc.identifier.wosWOS:000542287900003
dc.identifier.doi10.1016/j.jqsrt.2020.106993en_US
dc.subject.keywordsContinuous annealing furnacesen_US
dc.subject.keywordsThermal radiationen_US
dc.subject.keywordsModelingen_US
dc.identifier.scopusSCOPUS:2-s2.0-85084088530
dc.contributor.ozugradstudentYıldız, Ersin
dc.contributor.authorMale3
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff and PhD Student


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