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Predicting energy absorption parameters of aluminum lattice structures filled tubes via artificial neural networks
(2019)
In this paper, the energy absorption parameters of aluminum body centered cubic lattice structures filled thin-walled tubes under axial loading are predicted via artificial neural networks (ANNs). Different tube thickness, ...
Quasi-static axial crushing behavior of thin-walled circular aluminum tubes with functionally graded thickness
(Elsevier Ltd, 2016)
In this paper, the crushing behavior of circular aluminum thin-walled tubes with functionally graded thickness (FGT) are investigated experimentally. To this aim, three different thickness grading patterns are introduced ...
Effects of lithium doping on hydrogen storage properties of heat welded random CNT network structures
(Elsevier Ltd, 2016)
This paper presents the effects of lithium doping on the hydrogen storage capability of heat welded random carbon nanotube (CNT) network structures having different cross-link densities at room temperature. Cluster based ...