An analytical approach to calculate stress concentration factors of machined surfaces. (15th January 2021)

• Record Type: Journal Article
• Authors: Perez, I.; Madariaga, A.; Arrazola, P.J.; Cuesta, M.; Soriano, D.
• Is Part Of: International journal of mechanical sciences. Volume 190(2021)
• Publication Date: 2021-01-15
• Subjects: Surface topography -- Stress concentration factor -- Fatigue -- Modelling; Mechanical engineering -- Periodicals; Génie mécanique -- Périodiques; Mechanical engineering; Maschinenbau; Mechanik; Zeitschrift; Periodicals; 621.05
• DOI: 10.1016/j.ijmecsci.2020.106040
• Languages: English
• ISSNs: 0020-7403

Abstract

Highlights: The fatigue behaviour of machined components is linked to their surface topography. Stress concentration factor K t of surfaces is a good measure of fatigue behaviour. K t of 3D surface topographies can be calculated with the developed analytical model. This analytical model provides accurate and much faster results than FE models. This analytical model can be used to calculate large surfaces. Abstract: Machining operations affect the properties of the final surface layer, and these can impact on its functional performance, particularly on fatigue behaviour. Among the properties of the machined surface, surface topography is one major parameter affecting fatigue behaviour. The literature review has demonstrated that stress concentration factors K t of the surface provide a more reliable estimation of the impact on the fatigue behaviour of machined components. Finite Element (FE) simulations can accurately calculate the stress concentration factor of machined surfaces, but they incur a high computational cost. Recent advances have shown that analytical models can reliably determine stress concentration factors of 2D roughness profiles. However, analytical models that predict stress concentration factors of 3D surface topographies are still lacking. This paper is aimed at developing an analytical method to calculate the stress concentration factor K t of 3D surfaces generated by machining operations. To validate the model, a specimen of 7475-T7351 aluminium alloy was face milled and its surface topography was characterised using an Alicona IFG4 profilometer. Stress concentration factors were calculated in the selected surface regions using the proposed analytical model, and later compared to results obtained by FE simulations. The mean difference in the stress concentration factor K t calculated by the proposed analytical and FE models is of 1.53%. Importantly, the developed analytical model reduces the computing time by 3000 times compared to FE models, and enables the analysis of larger surfaces. Graphical abstract: Image, graphical abstract