Metastable precipitate phases play an essential role for strengthening in Al-alloys. Our thermodynamic database ME-Al includes the thermodynamics of these technologically relevant phases such as co-clusters, GP-zones and strengthening β´´-phase. Differential scanning calorimetry (DSC) is an experimental standard procedure, which gives qualitative information on precipitate formation during thermo-mechanical processing.  We can simulate the heat flow during technological heat treatments, by taking into account frozen vacancies during quenching. Beyond the calorimetric feasibility, our simulation simultaneously delivers other relevant precipitate properties such as number densities and precipitate radii during the precipitation evolution.

Some examples demonstrating our competence in the aluminium alloys process simulation include:


Example: Simulation of natural aging

An important step in the through-process modeling is the simulation of natural aging. Natural aging during storage of Al-Mg-Si alloys at room temperature after solution heat treatment and quenching can significantly reduce the maximum strengthening potential during artificial aging and, therefore, is a key topic in aluminum research and industry.

The essential models to predict the microstructure evolution during natural aging are included in Matcalc: Vacancy evolution, cluster thermodynamics, coagulation of clusters and cluster strengthening.