ADDITIVE MANUFACTURING AI AI SOLUTION
Additive ManufacturingAI
By combining AI with physical simulation,
we optimize design, process conditions, and quality prediction in additive manufacturing.
AI predicts and analyzes thermal analysis, deformation, and defect occurrence possibilities in various additive manufacturing processes such as metal PBF, FDM, and SLA
to improve printing quality and reduce development time and cost.
Core AI Technologies
Thermal Analysis and Prediction AI
Based on laser heat source analysis and heat transfer models, it predicts temperature distribution, thermal deformation, and residual stress.
Deformation and Residual Stress Prediction AI
It predicts deformation and residual stress distribution that may occur during the additive manufacturing process,
identifies quality issues in advance, and proposes improvement directions.
Defect Prediction AI
It predicts the possibility of defects such as pores, cracks, lack of fusion, and keyholes, and analyzes their causes.
Process Optimization AI
It optimizes key process variables such as laser power, scan speed, and hatch spacing to improve productivity and quality.
Key Features
Optimal Design and Support Structure Generation
AI automatically generates optimal designs and support structures
by considering strength, deformation, and thermal characteristics.
Real-Time Monitoring and Anomaly Detection
Based on sensor data, it monitors the additive manufacturing status in real time
and detects abnormal signs at an early stage.
Quality Prediction and Analysis
It predicts defects, residual stress, surface quality, and other factors, and analyzes quality and process stability based on data.
Process Design Optimization
It optimizes process variables such as laser power, scan strategy, and layer thickness to improve productivity and quality.
AI-Based Additive Manufacturing Optimization Process
1. Design Condition Input
· 3D CAD model input
· Material and process conditions
· Definition of target performance
· Material and process conditions
· Definition of target performance
2. Simulation and Modeling
· Thermal analysis and process behavior analysis
· Deformation, shrinkage, and residual stress modeling
· Analysis data preprocessing
· Deformation, shrinkage, and residual stress modeling
· Analysis data preprocessing
3. AI Prediction and Analysis
· Defect and deformation prediction
· Dimensional accuracy prediction
· Quality stability analysis
· Dimensional accuracy prediction
· Quality stability analysis
4. Process Optimization
· Process variable optimization
· Build orientation and support optimization
· Additive manufacturing strategy optimization
· Build orientation and support optimization
· Additive manufacturing strategy optimization
5. Printing and Monitoring
· Additive manufacturing execution
· Real-time data collection
· Anomaly detection
· Real-time data collection
· Anomaly detection
6. Quality Evaluation and Feedback
· Printed part quality inspection
· Result analysis and feedback
· Continuous improvement of AI models
· Result analysis and feedback
· Continuous improvement of AI models
Application Areas
Aerospace
Engine parts, structural parts, lightweight parts, etc.
Weight reduction and reliability improvement of core components
Medical / Bio
Implants, surgical guides, customized medical devices, etc.
Production of high-precision medical parts and bio models
Automotive
Lightweight structures, high-performance parts, prototypes, etc.
Automotive parts development and performance verification
Energy
Turbines, heat exchangers, nozzles, fluid parts, etc.
Production of power generation equipment and energy components
Molds and Tools
Mold inserts, jigs, fixtures, tool parts, etc.
Production of high-durability precision parts and production aids
Product Development and Design
Prototypes, mockups, exterior cases, functional parts, etc.
Reduction of product development time and design verification
Research and Education
New material development, prototype production
Research and educational parts