An algorithm for statistical evaluation of weld toe geometries using laser triangulation. (August 2021)

• Record Type: Journal Article
• Authors: Renken, Finn; von Bock und Polach, Rüdiger Ulrich Franz; Schubnell, Jan; Jung, Matthias; Oswald, Markus; Rother, Klemens; Ehlers, Sören; Braun, Moritz
• Is Part Of: International journal of fatigue. Volume 149(2021)
• Publication Date: 2021-08
• Subjects: Local toe geometry -- Stress concentration factor -- Weld classification -- 3-D scans -- Statistical assessment; Materials -- Fatigue -- Periodicals; Materials -- Fatigue; Periodicals; 620.1122
• DOI: 10.1016/j.ijfatigue.2021.106293
• Languages: English
• ISSNs: 0142-1123

Abstract

Graphical abstract: Highlights: Determination of a representative method to evaluate digitalized weld profiles. Statistical evaluation of the weld toe geometry, i.e. radius and angle. Determination of stress concentration factors based on artificial neural networks. Comparison of geometry and stress concentration factors of long and short welds. Abstract: Commonly, to evaluate the influence of the local weld geometry in fatigue test, small-scale specimens are used, assuming those represent a longer weld adequately. In this study, a comparison between short specimens and a long weld is performed. A method is developed for the statistical evaluation of weld toe radii and angles, stress concentration factors and weld quality classes. The results show a strong sampling rate dependence and lower ISO 5817:2014 weld quality results for higher sampling rates. Comparable results between short specimens and a long weld can be achieved using modal values of the parameters assuming a lognormal distribution.