Graphical Interface for Injection Molding Simulation and Press Data Comparison
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Solution Overview
Problem
Current simulation software for injection molding processes, such as Autodesk Moldflow, provides incomplete and approximate results due to the inability to directly or indirectly simulate the behavior and influence of the molding press, necessitating operator experience and multiple try-outs to converge on optimized set-up parameters, leading to increased costs and inefficiencies.
Innovation Solution
A software-implemented method using a graphical interface to compare and integrate data from simulation results and press parameters in real-time, allowing users to select and display homologous fields from different database portions, facilitating data understanding and optimization through intuitive data presentation and filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simulation software is used to predict molding parameters, then the theoretical accuracy is high, but the practical applicability is low due to inability to simulate press behavior
Solution Approach 1:
The patent introduces an intermediary system that bridges simulation results and actual press parameters. The system uses a database to store both simulation data and historical press data, then applies comparison algorithms to translate theoretical simulation outputs into practical press settings. This intermediary layer resolves the contradiction by making simulation results practically applicable without sacrificing theoretical accuracy.
Solution Approach 2:
The system implements feedback by comparing simulation predictions with actual press performance data stored in the database. The comparison results are used to refine and adjust simulation parameters, creating a closed-loop system that continuously improves the practical applicability of simulation results while maintaining theoretical accuracy.
2Manufacturing precision
If multiple try-outs are performed to converge on optimized parameters, then the manufacturing precision improves, but the time consumption and costs increase
Solution Approach 1:
The system performs preliminary actions by pre-storing historical press data and simulation results in a database before actual production setup. When new parameters are needed, the system quickly retrieves and compares relevant historical data, providing optimized parameter suggestions without requiring multiple physical try-outs. This preliminary preparation significantly reduces setup time while maintaining parameter optimization quality.
Solution Approach 2:
The system creates copies of successful parameter combinations from historical data and uses them as starting points for new production setups. Instead of performing multiple try-outs to discover optimal parameters, the system replicates proven parameter sets from the database, dramatically reducing the time and cost of parameter convergence while maintaining manufacturing precision.
3Loss of information
If comprehensive data is stored in the database for analysis, then the information completeness improves, but the data processing complexity increases
Solution Approach 1:
The patent segments the comprehensive database into distinct categories: simulation results, historical press data, and comparison results. Each segment is organized with specific data structures and retrieval protocols. This segmentation allows the system to maintain complete information while reducing processing complexity by allowing targeted queries of specific data segments rather than processing the entire database.
Solution Approach 2:
The database system is designed with multi-functionality to handle various types of data operations: storage, retrieval, comparison, and analysis. A single unified database structure serves multiple purposes, eliminating the need for separate processing systems for different data types. This universal approach maintains information completeness while simplifying the overall system architecture and reducing processing complexity.
Data Source
AI summary
A software-implemented method is described to compare via a graphical interface, freely crossing data relating to simulation results with finite-element analysis software and/or data concerning injection molding machine parameters obtained following molding tests or performed jobs, wherein the data are contained in an electronic database logically structured in one or more sets, and each set is divided into at least two logical portions (82, 84), one relating to the data relating to the simulation results and one relating to the press parameters (molding tests or works carried out), and each portion comprises a plurality of data collections organized internally in a plurality of fields.Homologous fields of a first and second collection are displayed orderly through a graphical interface by finding the fields in the database through indices generated by the selections.