Abstract
Operating and processing conditions as well as the selection of the screw design in injection molding industry are largely based on trial-and-error exercise, which is expensive and time consuming. A better approach is to develop mathematical models for prediction of the final process performance where the conditions and parameters of a process can be used as inputs in those models. However, most of the models developed and used so far contain unrealistic geometrical and mathematical simplifications. The objective of this work is to develop a steady-state three dimensional mathematical model to describe the flow of an incompressible polymer melt inside a helical geometry, which represents the polymer's true motion in extrusion and injection molding processes. In order to develop the model in helical geometry, where at least two axes are not perpendicular, the mathematical model is first developed in a natural system (i.e. cylindrical) and using transformation tools are then changed to the physical helical one. In this initiative, we develop an iterative computational alogrithm based on shooting Newton-Raphson method in order to simulate the process. The transformation matrices to adapt the equations of change form a natural system (i.e. orthogonal cylindrical systems) to a physical system (i.e. Helical coordinates) are also developed for velocity and derivative profiles. Subsequently the solution approach to solve the indirectly coupled equations of change is explained and the simulation results are compared with experimental data. The simulation results are vallidated against data obtained from ten different experiments with an industrial injection molding machine, processing two different polymers - high density polyethylene (HDPE) and poly ethylene terephthalate (PET). It is observed that the simulation results are in good agreement with experimental data. This outcome demonstrates the utility of the developed mathematical model and simulation approach. Important features of this work are the consideration of the linear backward motion of the screw leading to calculation of proper process shot size and the incorporation of the tapering screw designs with upward and downward sections in the direction of the flow into the model. Another important feature in the development of the mathematical model is that the rheological and physical properties of plastic resins are not constant and change as the melt temperature changes during the process. From the standpoint of industrial practice, the direct benefit of this work is the ability to effectively calculate adequate shot size, recovery rate, and various state variables throughout the extent of the machine.
Highlights
In the polymer industry today, the design of new screws is mainly a trial and error venture based on experience and experiments in which the operating conditions, or the screw geometry are systematically changed until the desirable performance is met
Melt Temperature: The simulation results for high density polyethylene (HDPE) shows that regardless of the screw design and barrel temperature setting, the melt temperature at the screw tip increases with increasing screw speed
The results indicate that polyethylene terephthalate (PET) polymer is less sensitive to change in its thermal conductivity compared to HDPE
Summary
In the polymer industry today, the design of new screws is mainly a trial and error venture based on experience and experiments in which the operating conditions, or the screw geometry are systematically changed until the desirable performance is met. The application of the prediction tools will help to explore the possibility of processing new screw designs without having to conduct the actual expensive experiments These predictive tools will assist to calculate important performance parameters, including recovery rate, melt temperature and pressure during recovery, power consumption, and length of screw required for melting of a given resin with specific material properties and operating conditions. These tools will help to pave the way for the optimal control of the extrusion and injection processes, which is very much desired by the polymer processing industry
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