2003
DOI: 10.1179/026708303225010713
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Mathematical model of deformation and microstructural evolution during hot rolling of aluminium alloy 5083

Abstract: A mathematical model to predict the through thickness temperature, strain and strain rate distributions during hot rolling and the subsequent microstructure evolution was developed using the commercial nite element package ABAQUS. Microstructure evolution predictions included the amount of recrystallisation through the thickness of the sheet based on its thermomechanical history during rolling and thermal history after rolling. The equations used to predict the microstructure evolution were based on semiempiri… Show more

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Cited by 30 publications
(26 citation statements)
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“…Details of the model development, thermal boundary conditions, mechanical boundary conditions, and the model validation for single-pass rolling cases are described thoroughly in previously published works. [3,16,17] …”
Section: A Fe Modelmentioning
confidence: 99%
“…Details of the model development, thermal boundary conditions, mechanical boundary conditions, and the model validation for single-pass rolling cases are described thoroughly in previously published works. [3,16,17] …”
Section: A Fe Modelmentioning
confidence: 99%
“…is proportionality coefficient andksreflect influence of spatial factor nucleuses nd growth for 5182 alloy recrystallization according to [6], =0.693, ks=2.…”
Section: Methodsmentioning
confidence: 99%
“…Important issues, for example, are investigation of recrystallization during inter-deformation intervals and self-annealing after hot rolling. To solve them, a lot of models describing kinetics of aluminum alloy recrystallization have been created for the last 20 years [5][6][7][8]. They are mainly based on Kolmogorov-Avrami equation.…”
Section: Methodsmentioning
confidence: 99%
“…Construction of such a mathematical model requires understanding of several inter-connected processes such as work hardening, recovery, precipitate growth and coarsening, recrystallisation and grain growth (static and dynamic) and, inevitably, numerous approximations have had to be made; this leaves the way open for others to make further refinements. [58][59][60][61] A more recent paper by Ahmed et al 62 shows that significant strides have been made on this topic of late.…”
Section: Mathematical Modellingmentioning
confidence: 99%