Advanced analytics for advanced manufacturing
The AMTex team conducts research aimed at advancing the state of the knowledge in Additive Manufacturing (AM) processes; colloquially known as 3D Printing. The multi-disciplinary research team has a unique combination of expertise in advanced analytics, uncertainty quantification, process monitoring, material science, and reliability engineering.
ICME-based Qualification and Certification
Use tools of integrated computational materials engineering (ICME) and develop AM-focused material simulation models to accelerate the qualification and certification (Q&C) of AM-fabricated metal parts. The Q&C process is broadly defined as the process of ensuring that the properties of the fabricated parts will meet design requirements
Conduct systematic uncertainty quantification to identify and reduce sources of variability in metal AM. This includes:
Surrogate modeling, model calibration, and uncertainty propagation analysis of the ICME-based models developed by the team
Data-driven modeling and design of experiments of the AM process
Process Monitoring and Control
This area focuses on: (1) the integration and instrumentation of AM systems with advanced sensors to perform in-situ monitoring and, (2) develop models and methods to analyze the data streams acquired using process monitoring and conduct process control with the objective of improving the quality of fabricated parts.
Design and fabrication of customized medical implants
Leverage team expertise and research findings to design and fabricate medical implants and devices with patient- and location-specific properties to improve functionality