Approaches for Numerical Modeling and Simulation of the Filling Phase in Injection Molding: A Review.

Area of Science:

• Materials Science and Engineering
• Computational Fluid Dynamics
• Polymer Processing

Background:

• Injection molding simulation is vital for predicting product quality.
• The filling phase is complex, involving multi-phase flow and non-Newtonian fluid dynamics.
• Accurate rheological characterization of polymers is essential for simulation fidelity.

Purpose of the Study:

• To systematically categorize numerical methods for simulating the injection molding filling phase.
• To provide a comprehensive summary of rheological models used in polymer flow simulation.
• To highlight the importance of geometric parameters and temperature-dependent viscosity.

Main Methods:

• Review and synthesis of existing literature on injection molding filling simulations.
• Exploration of various rheological models, including Power-Law, Herschel-Bulkley, Carreau, and Cross models.
• Analysis of model extensions accounting for temperature-dependent viscosity.

Main Results:

• A systematic classification of numerical methods for injection molding filling simulation.
• Detailed examination of multiple rheological models and their temperature-dependent extensions.
• Emphasis on the interplay between geometric parameters and filling dynamics.

Conclusions:

• Accurate simulation of the injection molding filling phase relies heavily on robust rheological models.
• The classification aids in understanding and selecting appropriate models for academic and industrial applications.
• This work facilitates improved prediction and optimization of the injection molding process.