Tessellation methods have been applied to characterize second phase particle fields and the degree of clustering present in AA 5754 and 5182 automotive sheet alloys. A model of damage development within these materials has been developed using a damage percolation approach based on measured particle distributions. The model accepts tessellated particle fields in order to capture the spatial distributions of particles, as well as nearest neighbour and cluster parameter data. The model demonstrates how damage initiates and percolates within particle clusters in a stable fashion for the majority of the deformation history. Macro-cracking leading to final failure occurs as a chain reaction with catastrophic void linkage triggered once linkage beyond three or more clusters of voids takes place.
Damage Characterization and Damage Percolation Modelling in Aluminum Alloy Sheet
Sae Technical Papers
SAE 2000 World Congress ; 2000
2000-03-06
Conference paper
English
Damage Characterization and Damage Percolation Modelling in Aluminum Alloy Sheet
British Library Conference Proceedings | 2000
|Damage characterization and damage percolation modelling in aluminium alloy sheet
Automotive engineering | 2000
|Multi-Scale FE/Damage Percolation Modeling of Ductile Damage Evolution in Aluminum Sheet Forming
SAE Technical Papers | 2004
|Multi-scale FE / damage percolation modeling of ductile damage evolution in aluminium sheet forming
Automotive engineering | 2004
|Effect of Plate Thickness and Paint on Lightning Strike Damage of Aluminum Alloy Sheet
Springer Verlag | 2019
|