Physical and Numerical Simulation of Cold Rolling of an AlFeSi Alloy in Consideration of Static Recovery

Abstract

The influence of static recovery on the yield stress of AA8079 was investigated in lab‐scale cold rolling experiments. The yield stress of AA8079 in the cold rolling process is affected by static recovery, but the softening caused by static recovery is completely compensated in the subsequent cold rolling pass. Thus, the effect of static recovery on the yield stress of the final product is of minor importance. For the TPM, the kinetics of static recovery of the AlFeSi alloy AA8079 were determined for different temperatures and strain rates. The measured softening kinetics were then implemented in the physically based flow stress model 3IVM+. This flow stress model was extended with an empirical approach for static recovery to enable the through‐process modeling of cold‐rolled aluminum in consideration of static recovery. Future work will focus on physically based modeling of static recovery without using empirical approaches.

Avaliação Da Presença De Soluto Em Folhas De Alumínio

“…Li et al [16], após 24 h de homogenização, utilizando o microscópio eletronico de transmissão, conseguiram verificar que a maioria dos dispersóides precipitados durante o aquecimento foram dissolvidos. Isto devido ao espaçamento entre os dispersóides finos α-Al(Mn,Fe)Si e grandes partículas constituintes que se distribuem em torno dos limites dos grãos, o que causa o crescimento de grandes partículas constituintes e a dissolução de dispersóides finos [18,19].…”

Effects of Si Content on Microstructure and Mechanical Properties of 8079 Aluminum Alloy

“…A small amount of the second phases at the grain boundary will still destroy its overall continuity. So the precipitation of the second phases at the grain boundary should be minimized in the production of aluminum foil [20] .…”

Modeling steel rolling processes by fluid-like differential equations

“…Off-line models: While on-line models are fast enough to be used within control systems, full-scale FEM models still require large computing times, but enable a high resolution on all scales from microstructure, as shown in [26] and [14] to machine behavior, as discussed in [8]. For the development of new alloys and the optimization of final properties, the so-called through-process models (TPM) have been developed that allow for the simulation of the entire fabrication history from the liquid melt to the final aluminum sheet [13], [10]. For the through process modeling of microstructure evolution during hot and cold rolling of aluminum, physically-based material models have been established that represent the current microstructure by means of internal variables.…”