Journal
METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE
Volume 52, Issue 3, Pages 1424-1435Publisher
SPRINGER
DOI: 10.1007/s11663-021-02108-7
Keywords
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Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC)
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A multi-scale approach is proposed for simulating hot tearing during the DC casting of aluminum alloys, combining macro-scale finite element simulation with meso-scale multi-physics granular model to predict hot tears initiation, growth, and propagation. The approach highlights the impact of variations in casting speed and heat extraction on deformation state, cooling rate, and thermal gradient, which further influence strain rate, grain size, permeability, and feeding coefficient. Hot tearing formation maps developed using this approach demonstrate sensitivity to processing parameters and alloy composition, predicting hot tearing locations for alloys AA5182 and AA3104.
A multi-scale approach for simulating hot tearing during the DC casting of aluminum alloys is presented. The novelty of this approach lies in the combination of a macro-scale finite element simulation of the DC casting process with direct prediction of hot tears via a meso-scale multi-physics granular model. This approach is capable of simulating hot tearing initiation, growth, and propagation within a representative volume element of the mushy zone. The change of cooling conditions experienced by the DC cast billet as a result of variations in casting speed as well as non-uniformity of heat extraction from different locations of the billet affect the deformation state, cooling rate, and thermal gradient, which further influence the strain rate, grain size, permeability, and feeding coefficient. Considering all the mentioned parameters, the multi-scale approach emphasizes the fact that hot tearing is a phenomenon resulting from the combination of the tensile deformation and restricted feeding of the mushy zone. The developed hot tearing formation maps identify the locations where hot tearing will occur as predicted by the multi-scale approach for two alloys-AA5182 and AA3104-thus demonstrating the approach's sensitivity to both processing parameters and alloy composition.
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