Predictive modeling of aluminum alloy fluidity as a function of Germanium content

The study presents a theoretical and experimental analysis of the variation in the fluidity of aluminum alloys – one of their key casting properties – under the influence of germanium and silicon. Based on experimental investigations, aluminum-based alloys were modified with different amounts of germanium and silicon, and the optimal modification level was determined through mathematical modeling. Initially, under laboratory conditions, aluminum casting alloys were alloyed with germanium at concentrations of 1 %, 2 %, and 3 % (relative to the charge), while 5 % silicon was added to each sample. The prepared melts were cast into standard spiral molds designed to evaluate fluidity. After solidification and removal from the molds, the lengths of the samples were measured, and a relationship between germanium content and fluidity was established in the form of a graph. Based on the obtained experimental data, the effect of germanium content on alloy fluidity was mathematically modeled. The modeling process was carried out using the Lagrange interpolation method. The resulting function allows for the theoretical prediction of the influence of varying germanium concentrations on the fluidity of the alloy.