Dissolution of particles in binary alloys: part II. experimental investigation on an Al-Si alloy

Modeling the TDFD dissolution of Al–Fe–Mn–Si particles in an Al–4.5Zn–1Mg alloy

“…• The solute concentrations in the precipitate are constant and equal to their equilibrium values [10,[15][16][17][18][19][20]. The solute concentrations are assumed to be independent of the distance from the precipitate/matrix interface and temperature.…”

“…Tanzilli and Heckel [13] solved the diffusion equation numerically using a finite difference technique for the spherical particles with a constant radius. Tundal and Ryum [14,15] and therefore should be considered in the model if an accurate prediction of the dissolution kinetics was to be achieved. In addition, Vermolen and Vuik [16,17] presented a mathematical model with nonlinear boundary conditions at the interface and compared the numerical solution with the solutions obtained by the analytical methods.…”

Effect of the Size Distribution of Nanoscale Dispersed Particles on the Zener Drag Pressure

“…Such behavior has been observed in the case of the formation of precipitates during age hardening of aluminum alloys. [33][34][35][36] Therefore, only the particles that had sufficiently large sizes could survive and continue to grow, which resulted in a narrow size distribution of particles. In addition, due to the very short time to reach the homogenization temperature, the fraction of the particles that formed during heating might not be significant.…”

“…For example, the effect of the size distribution of dispersed particles on the mechanical properties and the growth and dissolution of these particles in structures were investigated. [31][32][33][34][35][36] Myhr et al [33] generated a special control volume formulation of the classical precipitation model for coupled nucleation, growth, and coarsening to describe the evolution of the particle size distribution with time during thermal processing of Al-Mg-Si alloys, including both isothermal and nonisothermal transformation behavior. The size distribution of particles was found to be effective on the precipitation behavior.…”

“…Myhr and Grong [34] studied the nonisothermal transformations in alloys containing a distribution of particles and found that the memory of a past process step, i.e., the previous particle sizes, is likely to have an effect on the overall transformation behavior. In addition, Tundal and Ryum [35,36] investigated the effect of size distribution of dispersed particles on their dissolution during homogenization. It was demonstrated that the size distribution of particles is an effective parameter on the model predictions and, therefore, should be considered in the model if an accurate prediction of the dissolution kinetics is to be achieved.…”