Prediction of fracture profile using digital image correlation

G.M.S.K. Chaitanya; B. Sasi; Anish Kumar; C. Babu Rao; B. Purnachandra Rao; T. Jayakumar

doi:10.1117/12.2182911

30 April 2015 Prediction of fracture profile using digital image correlation

G.M.S.K. Chaitanya, B. Sasi, Anish Kumar, C. Babu Rao, B. Purnachandra Rao, T. Jayakumar

Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 953412 (2015) https://doi.org/10.1117/12.2182911
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France

Abstract

Digital Image Correlation (DIC) based full field strain mapping methodology is used for mapping strain on an aluminum sample subjected to tensile deformation. The local strains on the surface of the specimen are calculated at different strain intervals. Early localization of strain is observed at a total strain of 0.050ɛ; itself, whereas a visually apparent localization of strain is observed at a total strain of 0.088ɛ;. Orientation of the line of fracture (12.0°) is very close to the orientation of locus of strain maxima (11.6°) computed from the strain mapping at 0.063ɛ itself. These results show the efficacy of the DIC based method to predict the location as well as the profile of the fracture, at an early stage.

Citation Download Citation

G.M.S.K. Chaitanya, B. Sasi, Anish Kumar, C. Babu Rao, B. Purnachandra Rao, and T. Jayakumar "Prediction of fracture profile using digital image correlation ", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 953412 (30 April 2015); https://doi.org/10.1117/12.2182911

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KEYWORDS

Digital image correlation

Aluminum

Visualization

Interferometry

Speckle pattern

3D metrology

Cameras

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