Numerical methodology based on fluid-structure interaction to predict the residual stress distribution in glass tempering considering non-uniform cooling. (May 2022)

• Record Type: Journal Article
• Authors: Iglesias, A.; Martinez-Agirre, M.; Torca, I.; Llavori, I.; Esnaola, J.A.
• Is Part Of: Computers & structures. Volume 264(2022)
• Publication Date: 2022-05
• Subjects: Fluid-structure interaction -- Glass tempering -- Residual stresses -- Inhomogeneities -- Volumetric radiation; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2022.106757
• Languages: English
• ISSNs: 0045-7949

Abstract

Highlights: Fluid–structure interaction methodology for predicting residual stress distribution. Jet configuration plays a significant role in the residual stress distribution. Volumetric radiation can be neglected for low thickness and high cooling rates. Local flow behaviour becomes irrelevant below a critical temperature. 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 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.