Smart and Additive Manufacturing
Process modeling, monitoring, and control for direct ink writing, inkjet printing, biomass manufacturing, and multi-stage production systems.
Research Focus
DSSI builds data-driven and physics-informed models for complex manufacturing processes, especially direct ink writing, inkjet printing, and carbon-negative biomass manufacturing. The work combines sensing, process analytics, reinforcement learning, Bayesian optimization, and digital twins.
Applications
- Multi-stage modeling and multi-criteria optimization for direct ink writing.
- Reinforcement-learning control for composite-material printing.
- Smart ambient drying for carbon-negative biomass manufacturing.
Impact
These tools help manufacturers improve quality, reduce trial-and-error experiments, and connect process settings to measurable performance outcomes.