Prediction of fracture profile using digital image correlation

被引：2

作者：

Chaitanya, G. M. S. K. ^{[1
]}

Kumar, B. Sasi Anish ^{[1
]}

Rao, C. Babu ^{[1
]}

Rao, B. Purnachandra ^{[1
]}

Jayakumar, T. ^{[1
]}

机构：

[1] Indira Gandhi Ctr Atom Res, Met & Mat Grp, Kalpakkam 603102, Tamil Nadu, India

来源：

TWELFTH INTERNATIONAL CONFERENCE ON QUALITY CONTROL BY ARTIFICIAL VISION | 2015年 / 9534卷

关键词：

Digital Image Correlation; full field strain distribution; localized strain; tensile test; fracture profile; PATTERNS;

D O I：

10.1117/12.2182911

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 0.050 epsilon itself, whereas a visually apparent localization of strain is observed at a total strain of 0.088.. Orientation of the line of fracture (12.0 degrees) is very close to the orientation of locus of strain maxima (11.6 degrees) computed from the strain mapping at 0.063 epsilon 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.

引用

页数：8

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