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Automatic Detection and Characterization of Cracked Constituent Particles/Inclusions in Al-Alloys under Uniaxial Tensile Loading  

Lee, Soon Gi (Plate Research Group, POSCO Technical Research Laboratories)
Jang, Sung Ho (Plate Research Group, POSCO Technical Research Laboratories)
Kim, Yong Chan (Non-ferrous Refining Project Team, Research Institute of Industrial Science & Technology)
Publication Information
Korean Journal of Metals and Materials / v.47, no.1, 2009 , pp. 7-12 More about this Journal
Abstract
The detailed quantitative microstructural data on the cracking of coarse constituent particles in 7075 (T651) series wrought Al-alloys have been studied using the utility of a novel digital image processing technique, where the particle cracks are generated due to monotonic loading. The microstructural parameters such as number density, volume fraction, size distribution, first nearest neighbor distribution, and two-point correlation function have been quantitatively characterized using the developed technique and such data are very useful to verify and study the theoretical models for the damage evolution and fracture of Al-alloys. The data suggests useful relationships for damage modeling such as a linear relationship between particle cracking and strain exists for the uniaxial tensile loading condition, where the larger particles crack preferentially.
Keywords
digital image processing; particle cracking; al-alloys; damage evolution and fracture;
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Times Cited By Web Of Science : 3  (Related Records In Web of Science)
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