Injection Molding Simulation Using Precursor Charge Parameters
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Solution Overview
Problem
The injection molding process is hindered by the need for numerous trial runs to determine optimal process settings, which are costly and time-consuming, especially when transferring settings between locations with varying conditions.
Innovation Solution
A computer simulation that considers the mold shape and precursor charge production information to predict process settings that can achieve desired product quality, reducing the number of trial runs and facilitating easier transfer between locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional trial runs are conducted to determine optimal process settings, then product quality can be achieved, but the process becomes time-consuming and costly
Solution Approach 1:
The patent applies preliminary action by conducting virtual trial runs through computer simulation before actual production. The simulation model predicts optimal process settings based on mold geometry and material properties, allowing manufacturers to determine suitable parameters without performing numerous physical trial runs. This preliminary computational action significantly reduces the time and cost associated with traditional trial-and-error approaches while maintaining product quality standards.
2Manufacturing precision
If process settings are determined through extensive trial runs at one location, then acceptable product quality can be achieved, but transferring these settings to a different location requires repeating the trial runs
Solution Approach 1:
The patent applies copying by creating a virtual replica of the injection molding process through computer simulation. The simulation model copies the essential physics and geometry of the actual molding process, allowing process settings to be determined once and then copied to different locations without repeating trial runs. The simulation accounts for location-specific parameters, enabling the same methodology to be applied universally across different manufacturing sites while maintaining product quality.
3Loss of time
If a computer simulation is used to determine process settings, then the number of trial runs is reduced, but the simulation model requires accurate input data about the mold and precursor charge
Solution Approach 1:
The patent applies feedback by using information from actual trial runs and product analysis to continuously improve and refine the simulation model. The feedback loop ensures that the simulation model becomes increasingly accurate over time, reducing the need for detailed manual input data while maintaining prediction accuracy. This feedback mechanism allows the system to learn from real-world data and improve its predictive capabilities, thereby reducing both trial runs and information requirements simultaneously.
Data Source
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AI summary
Injection molding process and system, wherein a product (1) is produced by an injection molding apparatus (2) through an injection molding process from a precursor charge (3) of precursor material based on process settings (5) applied to the injection molding apparatus (2), wherein the injection molding process comprises injecting the precursor charge (3) into a mold (4) of the injection molding apparatus (2), wherein the precursor charge (3) is produced through a precursor production process described by precursor production parameters (21), wherein the applied process settings (5) are determined prior to the injection molding process by a computer simulation of the injection molding process executed by a computing apparatus (6), which computer simulation is based on a simulation model (7), on the precursor production parameters (21) and on given process conditions (8) of the injection molding process, which given process conditions (8) comprise a shape of the mold (4).