Fatigue crack growth law identification by Digital Image Correlation and electrical potential method for ductile cast iron

Jerome Hosdez (1) , Jean-François Witz (1) , Corentin Martel (1) , N. Limodin (1) , Denis Najjar (1) , E. Charkaluk (1, 2) , Pierre Osmond (3) , F. Szmytka (3, 4)

1 LML - Laboratoire de Mécanique de Lille - FRE 3723
2 LMS - Laboratoire de mécanique des solides
3 PSA - PSA Peugeot - Citroën
4 IMSIA - UMR 9219 - Institut des Sciences de la mécanique et Applications industrielles

In this paper, a comparison between two methods used to identify fatigue crack propagation law is conducted: Digital Image Correlation (DIC) and Direct Current Potential Drop (DCPD). For this purpose, fatigue tests were conducted at R-ratio of 0.1 on a ductile cast iron commonly used for exhaust manifolds manufacturing. Results show a good agreement between the methods illustrating the accuracy of each technique for the analysis of fatigue crack growth. Moreover, an interest of DIC is also to allow studying the plasticity that occurs at the crack tip during the fatigue test.

Mots clés: Direct Current Potential Drop; Digital Image Correlation; Fatigue; Plasticity; Stress Intensity Factor; Paris law

Domaines: Mécanique [physics.med-ph]; Mécanique des matériaux [physics.class-ph]

Jerome Hosdez, Jean-François Witz, Corentin Martel, N. Limodin, Denis Najjar, et al.. Fatigue crack growth law identification by Digital Image Correlation and electrical potential method for ductile cast iron. Engineering Fracture Mechanics, 2017. ⟨hal-01665676⟩