INJECTION MOLDING AI AI SOLUTION
Injection MoldAI
By combining AI with physical simulation,
we propose optimal mold designs and injection molding process conditions.
AI predicts and analyzes the entire process of filling, packing, cooling, deformation,
and shrinkage to minimize defect rates and maximize productivity and quality.
Core AI Technologies
AI Flow Analysis and Prediction
AI quickly and accurately predicts resin flow, filling, cooling conditions, and pressure changes.
AI Deformation and Shrinkage Prediction
It predicts deformation, shrinkage, and warpage to improve dimensional accuracy and quality stability.
AI Defect Prediction
It proactively predicts major defects such as bubbles, weld lines, sink marks, and deformation
and analyzes their causes.
Process Optimization AI
It automatically optimizes injection conditions and mold design elements to improve both quality and productivity.
Key Features
Optimal Injection Condition Recommendation
AI analyzes key process conditions such as resin properties, temperature, pressure, and speed to minimize defects.
Mold Design Optimization
By optimizing mold design elements such as gate location, cooling channels, runners, and venting structures,
it reduces injection molding defects and shortens cycle time.
Real-Time Production Monitoring
Based on sensor data, it monitors process conditions in real time and detects abnormal signs at an early stage.
AI-Based Injection Mold Optimization Process
1. Requirements Analysis
· Analysis of product requirements and definition of product specifications
· Resin properties and injection molding conditions
· Performance target setting
· Resin properties and injection molding conditions
· Performance target setting
2. Flow Analysis and Prediction
· 3D flow analysis execution
· AI-based analysis
· Review of analysis results
· AI-based analysis
· Review of analysis results
3. AI-Based Derivation of Optimal Conditions
· Proposal of optimal process conditions
· Deformation and shrinkage prediction
· Prediction of defect occurrence possibility
· Deformation and shrinkage prediction
· Prediction of defect occurrence possibility
4. Optimization Proposal
· Injection condition optimization
· Mold structure optimization
· Cooling channel optimization
· Mold structure optimization
· Cooling channel optimization
5. Verification and Evaluation
· Verification of optimal conditions
· Cycle time evaluation
· Quality stability evaluation
· Cycle time evaluation
· Quality stability evaluation
6. Application and Feedback
· Application of optimal conditions
· Production monitoring
· Learning from production feedback data
· Production monitoring
· Learning from production feedback data
Application Areas
Automotive Parts
Bumpers, interior materials, structural parts, etc.
Automotive interior, exterior, and functional parts
Electronic and Electrical Parts
Connectors, housings, cases, battery cases, etc.
Precision parts for power applications and more
Home Appliances
TV frames, appliance exterior parts, etc.
Plastic parts for home appliances
Medical Devices
Precision medical parts, diagnostic device cases, covers, etc.
Packaging Containers
Food containers, cosmetic containers, etc.
Packaging products for consumer and industrial use
Industrial Parts
Machine parts, tool cases, etc.
High-durability industrial parts