Injection Molding Condition Correction System
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Solution Overview
Problem
Existing injection molding systems face challenges in achieving optimal molding conditions due to unique machine differences between injection molding machines, leading to prediction errors between theoretical and actual molding results, necessitating adjustments during mass production.
Innovation Solution
An injection molding system that includes a computer with a microprocessor and storage, capable of determining manufacturing conditions, checking actual production results, and generating correction molding conditions based on unique information from both the first and second injection molding machines to ensure optimal molding outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If resin flow analysis is used to generate optimal molding conditions, then theoretical optimal conditions are acquired, but prediction errors occur between theoretical and actual molding results due to machine differences
Solution Approach 1:
The system performs preliminary actions by acquiring actual production results from other injection molding machines beforehand and storing them in a database. When a machine lacks actual production data, the system retrieves and applies correction molding conditions from similar machines, avoiding the need for time-consuming trial-and-error adjustments and reducing prediction errors caused by machine differences.
Solution Approach 2:
The system creates copies of actual production results and molding conditions from one injection molding machine and applies them to another machine with similar specifications. By copying proven successful molding parameters and adjusting them based on machine-specific characteristics, the system transfers knowledge across machines while accounting for individual variations.
2Manufacturing precision
If molding conditions are adjusted manually during mass production to account for machine differences, then optimal molding quality is achieved, but production lead time increases and skilled workers are required
Solution Approach 1:
The system enables self-service by automatically selecting appropriate correction molding conditions from the database based on machine specifications and injecting them into the target machine without human intervention. The system autonomously matches machines with similar characteristics and applies pre-validated molding parameters, eliminating the need for skilled workers to manually adjust settings and significantly reducing setup time.
Solution Approach 2:
The system establishes a feedback mechanism where actual production results from various machines are continuously collected, stored, and analyzed. This feedback loop allows the system to learn from real-world performance data and refine its selection of correction molding conditions, improving accuracy over time while maintaining automated operation and reducing dependency on expert operators.
3Ease of manufacture
If optimal molding conditions are generated without considering machine differences, then the molding process is simplified, but the quality of injection molded products deteriorates
Solution Approach 1:
The system achieves universality by creating a multi-functional database that stores actual production results from multiple different injection molding machines with varying specifications. The system can serve any target machine by selecting appropriate reference machines from the database, making the correction molding condition generation process universally applicable across different machine types while maintaining product quality through machine-specific adjustments.
Data Source
AI summary
An injection molding system includes: determining a manufacturing condition including a first mold and a first injection molding machine; checking whether a first actual production result acquired using the combination of the first mold and the first injection molding machine exists by searching an actual production result storage unit; and generating a correction molding condition for performing injection molding using the combination of the first injection molding machine and first mold based on first molding-machine-unique information acquired in advance for the first injection molding machine, second molding-machine-unique information acquired in advance for a second injection molding machine with which a second actual production result is acquired in combination with the first mold, and the second actual production result acquired from the actual production result storage unit when the first actual production result does not exist, and inputs the generated correction molding condition to the second injection molding machine.