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.
Topics in this section
Changing viscosity models or parameters
The viscosity model and associated parameters used in an analysis can be adjusted, for materials selected from a personal database.
Cross-WLF viscosity model
The Cross-WLF viscosity model describes the temperature, shear rate, and pressure dependency of the viscosity for thermoplastic materials.
Matrix viscosity model
The matrix viscosity model is used to determine the viscosity from measured data supplied at specific temperatures, shear rates, and pressures.
Moldflow Second Order Viscosity model
The Moldflow second order viscosity model describes the temperature and shear rate dependence of the viscosity using a quadratic formulation.
Coolant viscosity model
The viscosity, flow rate, and Reynolds number of a coolant are interrelated.
Electromagnetic field modeling
The electromagnetic phenomena of induction heating are described, mathematically, by Maxwell equations.
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.