Simulation models
Predicting how a molten material flows in a mold, can be very complex. There are several models that have been developed to help with this prediction, which vary in the dependencies they consider and the molding process they address.
Cross-WLF viscosity model The Cross-WLF viscosity model describes the temperature, shear rate, and pressure dependency of the viscosity for thermoplastic materials. 2-domain Tait PVT model
The modified 2-domain Tait PVT model is used to determine the density of the material as a function of the temperature and pressure. This variation impacts on many aspects of the flow simulation.
Weissenberg Rabinowitsch correction
Surface tension model for Microcellular injection molding
Viscosity model for Microcellular injection molding The dissolution of gas into the polymer melt will impact on the viscosity model used for Microcellular injection molding. Gas Solubility model for microcellular injection molding The solubility of gas into the polymer melt can affect both the viscosity of the melt and the bubble size in the finished product. Gas diffusion model for Microcellular injection molding The gas that was dissolved in the polymer melt in the initial step of the Microcellular injection molding process will diffuse out of the melt in the foaming stage, nucleating and growing bubbles in the process. Fitted Classical Nucleation model The fitted classical nucleation model describes the nucleation rate, that is, the number of bubbles generated during a thermoplastics microcellular molding process, per unit volume and time.