deep testing™
BRIDGING THE DATA GAP BETWEEN DESIGN AND PRODUCTION
At ASTRO, we fuse advanced analytics, AI-driven simulations, and precision testing to unlock the full potential of your additive development. From material innovation, process optimization, and complex DFAM, our solutions empower smarter, faster, and more reliable dataset.
Ai Integration
Mechanical Property Prediction:
AI models to predict mechanical properties, thermal behavior, and microstructural evolution of metallic alloys based on process parameters and alloy compositions.
Process Optimization:
Machine learning algorithms to optimize AM process parameters, such as laser power, scan speed, and layer thickness, to reduce defects like porosity and stresses.
simulation
Thermal and Structural Simulations:
Finite element analysis to simulate thermal gradients, residual stresses, and distortions during the AM process.
Microstructure Evolution Modeling:
Predictive models for grain growth, phase transformations, and porosity formation during phases of testing and analysis.
modeling
Process-Structure-Property Relationships:
Integrated computational materials engineering frameworks to model the relationships between process parameters, resulting microstructures, and mechanical properties.
Performance Modeling:
Predict the fatigue life, creep behavior, and other long-term performance metrics of AM components under operational conditions.