Development of an improved method for identifying material stress-strain curve using repeated micro-impact testing - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Mechanics of Materials Année : 2015

Development of an improved method for identifying material stress-strain curve using repeated micro-impact testing

Résumé

Impact-based Mechanical Surface Treatments such as shot peening are widely used in aerospace, nuclear and other industries to improve the mechanical resistance of components. Measuring the stress-strain curve of materials under high-strain rate using repeated impacts is a key issue to improve such processes. This study presents an extension of a method developed by Kermouche (2013) for identifying the material stress-strain curve. It combines numerical and experimental approach using micro-impact testing. The main originality of the present work is the use of the impact load values instead of the depth of the residual imprint as an input parameter of the inverse identification. The reliability of the proposed method is then checked from a set of numerical blind tests. A direct method derived from Tabor's pioneering work (Tabor, 2000) is also proposed to convert the impact measurements into an approximate stress-strain curve. These two methods have been applied on a commercially pure copper and show very good agreement. The main advantage of this analysis is to determine the mechanical behaviour of metallic surface at high strain rate using limited numbers of samples and tests.
Fichier principal
Vignette du fichier
albaida2015-1.pdf (451.32 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

emse-01499477 , version 1 (09-09-2021)

Licence

Paternité

Identifiants

Citer

H. Al Baïda, Guillaume Kermouche, C. Langlade. Development of an improved method for identifying material stress-strain curve using repeated micro-impact testing. Mechanics of Materials, 2015, 86, pp.11-20. ⟨10.1016/j.mechmat.2015.02.009⟩. ⟨emse-01499477⟩
56 Consultations
65 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More