Additive manufacturing process monitoring and control

5 Jan 2026 · 1 min read
projects

This project combines additive-manufacturing process models with the dynamics of the motion platform. Thermal cameras, nozzle cameras, accelerometers, and position sensors provide synchronized data for monitoring and compensation.

Research questions

  • How can process and machine dynamics be represented in one control-oriented model?
  • Which visual and thermal signals reveal defects early enough for correction?
  • How should local and cloud controllers share model-based and data-driven tasks?

Expected outcomes

The project develops in-situ monitoring, extrusion-trajectory compensation, and control strategies that improve dimensional accuracy and process stability.

Molong Duan
Authors
Assistant Professor
Molong Duan leads the Manufacturing and Aerospace Automation Lab at HKUST. His research spans dynamic-system modeling and control, robotic and additive manufacturing, continuous-fiber composites, flexible aircraft, and VTOL control.