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Thixoforming : Semi-solid Metal Processing

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234j 7 A Physical and Micromechanical Model for <strong>Semi</strong>-<strong>solid</strong> Behaviour<br />

structure thus remains the same and is behaving in a Newtonian manner. This<br />

behaviour provides the strong increase in the load observed after the peak.<br />

As expected, decreasing the <strong>solid</strong> fraction decreases the yield stress and more<br />

generally the load level, except at the end of the experiments. In this last step, as<br />

mentioned previously, the semi-<strong>solid</strong> behaves as a suspension and its response is<br />

slightly less dependent on the <strong>solid</strong> fraction (in the range between 0.6 and 0.8) than<br />

before. In reality, an increase in temperature not only decreases the <strong>solid</strong> fraction but<br />

also changes the degree of agglomeration, the size and the morphology of the<br />

particles, maybe the mechanical resistance of the <strong>solid</strong> bonds, and so on. The<br />

modelling allows one to separate all these effects on the overall response and<br />

consequently can help to achieve a better understanding.<br />

7.4.3<br />

Non-isothermal and Non-steady-state Behaviour<br />

As discussed previously, semi-<strong>solid</strong> behaviour depends strongly on the initial volume<br />

<strong>solid</strong> fraction within the material. In addition, this volume <strong>solid</strong> fraction may change<br />

during thixoforming because of viscoplastic dissipation or/and thermal exchanges<br />

between the dies and the slug. For example, in the case of steels, Cezard et al. [35, 36]<br />

highlighted the key role of thermal exchanges on the flow behaviour and the load level<br />

during thixoforming. Since it is very difficult to obtain isothermal conditions for<br />

industrial thixoforming, accounting for thermal exchanges is of great importance for<br />

simulations. This section analyses the effect of increasing overall <strong>solid</strong> fraction due to<br />

temperature loss simulating thermal exchanges between the die and semi-<strong>solid</strong>. The<br />

relationship between temperature and <strong>solid</strong> fraction is given by the Sheil equation<br />

(here we deal with a semi-<strong>solid</strong> aluminium alloy to obtain calculated data consistent<br />

with real experiments, but only qualitative results, that may extended to other alloys,<br />

are discussed). The kinetics of the active <strong>solid</strong> fraction used for these simulations is<br />

given by Equation 7.7, where a and b are taken, arbitrarily, as equal to 1. The other<br />

material parameters are the same as used in Section 7.2 and are given in Table 7.2.<br />

The initial overall <strong>solid</strong> fraction is 0,8. Compression tests having temperature losses<br />

equal to 0, 50 and 80 C are simulated using a ram speed and slug size identical with<br />

those used in Section 7.2. Figure 7.9 shows the load–displacement curves. Clearly,<br />

increasing temperature loss leads to an increase in the load peak. This peak is delayed<br />

to higher displacement. Here again, these results are related to the microstructure<br />

evolution. Material variable analysis reveals that the increase in the overall <strong>solid</strong><br />

fraction (see Figure 7.10) leads to a reduction in the decrease of the active <strong>solid</strong><br />

fraction. The presence of a higher quantity of <strong>solid</strong> able to contribute to the<br />

deformation leads to a decrease in the strain rate within the <strong>solid</strong> phase and in<br />

particular within the <strong>solid</strong> bonds. As a result, the critical strain to bond rupture is<br />

reached for higher displacement. It is worth noting that the kinetics of the active <strong>solid</strong><br />

fraction result from both agglomeration/<strong>solid</strong>ification and deagglomeration. It<br />

obviously depends on parameters used for Equation 7.7. In particular, a and b of<br />

the agglomeration/<strong>solid</strong>ification are here chosen arbitrarily and further accurate<br />

investigations are required to improve the modelling of such a phenomenon.

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