Center for Global Design and Manufacturing (CGDM)
The Center for Global Design and Manufacturing in the College of Engineering and Applied Science and the Smart Manufacturing Lab at UC Digital Futures is focused on research, teaching, training and industry outreach in the areas of Advanced Manufacturing and Intelligent Product Design. The Center is supported through collaborative partnerships, federal and industry sponsorships.
The Center’s research is focused on conducting research in the areas of computational tools for intelligent design and predictive modeling in additive manufacturing, manufacturing systems optimization, optimization of additive and subtractive manufacturing processes, Industrial Internet of Things (IIoT), and Augmented/Mixed/Virtual Reality in manufacturing.
The additive manufacturing research areas include multiphysics design optimization with intent for part light-weighting, predictive modelling of in-process mechanical and thermal distortion for better part quality and intelligent lattice structures.
Additive Manufacturing, Modeling and Optimization of Design and Processes for Additive and Subtractive Manufacturing, Machine Learning and Natural Language Processing Frameworks
- Design for Additive Manufacturing (DFAM) Constrained Topology Optimization Models
- Multi-Material Lattice Structures for Combined Mechanical, Thermal, and Fluid Flow Applications
- Generative Adversarial Networks for DFAM Constrained Topology Optimization Models
- Reinforcement Learning for Generative Design of Multi-Physics Applications
- Machine Learning Based Thermal Distortion Prediction and Compensation
- Bayesian Networks for Process Parameter Predictions
- Machine Learning based CAD Repair Methods for Hybrid Additive Manufacturing Processes
- Conversational Design Assistant Based on Large Language Models such as GPT4; Applications in multifunctional multi material Topology Optimization
- Custom 3-D medical implants based on CT and MRI data
The IIoT research is focused on digital twin for manufacturing (Industry 4.0 / 5.0), data acquisition and interpretation using mixed reality and computer vision for smart manufacturing.
Smart Manufacturing, Agile Manufacturing, Supply Chain Integration, Assembly Optimization
- Computer Vision Based Approach for Data Analytics from Legacy and Modern Machines
- AR/VR Toolkits with Cloud Computing Based Predictive Analytics for Legacy and Modern Machines in Factory Floor
- Mixed Reality and Virtual Reality-based Training Models for Workers; Digital Twin models for Human Centered Digital Manufacturing
Professor, Director - Siemens PLM Simulation Technology Center , CEAS - Mechanical Eng
697 Rhodes Hall