Injection Molding Simulation Mid-Process Quality Check
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Solution Overview
Problem
Current injection molding simulations are highly processing-intensive, requiring substantial computing resources and time, especially with full 3D models, and optimization tasks involve numerous simulations, making it inefficient to achieve quick results.
Innovation Solution
The method involves checking calculated states against quality criteria during the simulation, allowing for resumption or continuation with altered conditions, enabling modifications without restarting from the beginning, and optimizing input parameters to meet quality criteria before the simulation's end.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If full 3D models with fine spatial and temporal discretization are used for simulation, then manufacturing precision and reliability of results are improved, but computing time and processing resources increase significantly
Solution Approach 1:
The simulation process is segmented into multiple calculation phases, each handling specific aspects of the injection molding process. This allows the simulation to focus computational resources on critical stages while using simplified models for less critical phases, thereby reducing overall computing time while maintaining accuracy where needed.
Solution Approach 2:
The patent implements dynamic adaptation of simulation parameters during the simulation process. The level of discretization and model fidelity is adjusted based on the current state of the simulation and quality criteria, allowing the system to use fine discretization only when necessary to meet quality requirements, thus optimizing the balance between accuracy and computing time.
2Reliability
If optimization tasks require implementation of a large number of individual simulations, then reliability of optimization results is improved, but productivity decreases due to extensive computing involvement
Solution Approach 1:
The patent performs preliminary quality checks during intermediate time steps of each simulation, before the simulation completes. This allows early detection of simulations that will not meet quality criteria, enabling premature termination of such simulations and reducing the total number of full simulations needed for optimization, thus improving productivity while maintaining result reliability.
Solution Approach 2:
The system implements feedback mechanisms where simulation results are continuously evaluated against quality criteria during the optimization process. This feedback allows the optimization algorithm to learn from intermediate results and adjust subsequent simulation parameters, reducing the number of simulations required to achieve reliable optimization results.
3Ease of operation
If simulation conditions are strictly predetermined from the outset, then ease of operation is improved, but adaptability decreases when quality criteria are not met
Solution Approach 1:
The patent enables dynamic modification of simulation conditions during the simulation process based on quality criterion evaluation. The system maintains simple predetermined conditions for ease of setup but allows automatic adaptation of parameters during simulation execution, achieving both ease of operation and adaptability through dynamic parameter adjustment.
Solution Approach 2:
The simulation system performs self-adjustment by automatically modifying conditions when quality criteria are not met, without requiring operator intervention. This maintains ease of operation while achieving adaptability through automated condition modification based on real-time quality assessment.
Data Source
AI summary
A method of simulating a shaping process involves calculating states of objects involved in the shaping process in discrete and successive time steps with presetting of conditions, and the conditions represent input parameters of the shaping process. After a time step which is before the end of the simulated shaping process, (a) a check on the calculated states of the objects involved in the shaping process is carried out based on a quality criterion. If the check in step (a) shows that the quality criterion is not met, then (b) at least one of the following is carried out: resumption of the simulation with repeated calculation of the time step and/or a preceding time step, and continuation of the simulation with calculation of a time step following the time step. When method step (b) is carried out, the conditions are at least partially altered.