Title
Numerical methodology based on fluid-structure interaction to predict the residual stress distribution in glass tempering considering non-uniform coolingVersion
http://purl.org/coar/version/c_ab4af688f83e57aa
Rights
© 2022 Elsevier Ltd. All rights reservedAccess
http://purl.org/coar/access_right/c_f1cfPublisher’s version
https://doi.org/10.1016/j.compstruc.2022.106757Published at
Computers & Structures Vol. 264. Pp. 106757,Publisher
ElsevierKeywords
fluid-structure interaction
Glass tempering
Residual stresses
Inhomogeneities ... [+]
Glass tempering
Residual stresses
Inhomogeneities ... [+]
fluid-structure interaction
Glass tempering
Residual stresses
Inhomogeneities
Volumetric radiation [-]
Glass tempering
Residual stresses
Inhomogeneities
Volumetric radiation [-]
Abstract
In this paper a novel numerical methodology for calculating non-uniform residual stress distributions during the glass tempering process is presented. Tempering techniques lead to non-uniform heat tra ... [+]
In this paper a novel numerical methodology for calculating non-uniform residual stress distributions during the glass tempering process is presented. Tempering techniques lead to non-uniform heat transfer rates causing residual stress inhomogeneities, which consequently have a direct impact on the structural behaviour of components. Nevertheless, most works in the literature do not consider the influence of local flow phenomena during thermal calculations, resulting in non-representative residual stress distributions. In this context, a novel generalised methodology based on a fluid–structure interaction one-way approach to sequentially couple the thermal and mechanical fields is presented. In this way, the unsteady and non-uniform heat transfer rate is coupled with the Narayanaswamy model to predict the non-homogeneous residual stress pattern. The obtained numerical results for the analysed impinging jet array case are in good agreement both quantitatively and qualitatively, exhibiting an average error below 10% with respect to previous experimental investigations. Finally, efforts are made to reduce the computational time. Therefore, the proposed methodology proves to be an efficient tool for understanding the underlying mechanisms and predicting the residual stress distributions during glass tempering. [-]
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Gobierno Vasco-Eusko Jaurlaritzaxmlui.dri2xhtml.METS-1.0.item-projectID
info:eu-repo/grantAgreement/GV/Elkartek 2021/KK-2021-00022/CAPV/Metodología de modelización multi-escala proceso-microestructura-propiedades-desempeño para la agilización del diseño de materiales, procesos y componentes metálicos en la industria vasca/ICMECollections
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