Improving accuracy of mold filling simulations with experimental data from fast scanning chip calorimetry

In this study, mold filling simulation crystallization data were compared with experimental data collected with a fast scanning chip calorimeter. This new technique gives the opportunity to collect data at higher cooling rates, which mimic the injection molding process. Experimental data showed that the crystallization temperature depends on the cooling rate, which is neglected in previous models implemented in the simulation software. It is suggested to modify the simulation software crystallization data in order to account for more realistic prediction of the crystallization process and, consequently, microstructure formation affecting properties.