The analysis of residual stress in glass is usually carried out by means of photoelastic methods. This article considers the automation of the white light photoelastic method based on the use of a full-wave plate placed behind the glass plate. In particular, the method in based on the use of RGB photoelasticity in white light in conjunction with a full wave plate. The proposed method have been applied to the analysis of membrane residual stresses in tempered glass, showing that it can effectively replace manual methods of photoelastic analysis of residual stresses in glass when a low photoelastic retardation is present.

Ajovalasit, A., Petrucci, G., Scafidi, M. (2015). Photoelastic Analysis of Edge Residual Stresses in Glass by the Automated Tint Plate Method. EXPERIMENTAL TECHNIQUES, 39(3), 11-18 [10.1111/ext.12017].

Photoelastic Analysis of Edge Residual Stresses in Glass by the Automated Tint Plate Method

AJOVALASIT, Augusto;PETRUCCI, Giovanni;SCAFIDI, Michele
2015-01-01

Abstract

The analysis of residual stress in glass is usually carried out by means of photoelastic methods. This article considers the automation of the white light photoelastic method based on the use of a full-wave plate placed behind the glass plate. In particular, the method in based on the use of RGB photoelasticity in white light in conjunction with a full wave plate. The proposed method have been applied to the analysis of membrane residual stresses in tempered glass, showing that it can effectively replace manual methods of photoelastic analysis of residual stresses in glass when a low photoelastic retardation is present.
2015
Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine
Settore ING-IND/15 - Disegno E Metodi Dell'Ingegneria Industriale
Ajovalasit, A., Petrucci, G., Scafidi, M. (2015). Photoelastic Analysis of Edge Residual Stresses in Glass by the Automated Tint Plate Method. EXPERIMENTAL TECHNIQUES, 39(3), 11-18 [10.1111/ext.12017].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/78349
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