Manufacturing Intelligence Research
& Advanced Geometry Evaluation
Core Research Themes
Intelligent Manufacturing
Machine learning models use sensor and image data to predict the quality of additively manufactured parts. Models use transfer learning to make predictions across a variety of part designs.
Advanced Metrology
Computer vision automatically extracts precise measurements from images and 3D part scan data. Autonomous measurements enable rich data sets that are leveraged for part qualification.
Computational Geometry
Software identifies constituent geometry elements in part designs. These elements are used to cluster similar part designs, evaluate manufacturability, and recommend design modifications.
Research Lab
MIRAGE Lab investigates novel methods for leveraging data and software tools to enable more efficient and intelligent manufacturing processes. We predominantly focus on industrial grade additive manufacturing, sometimes referred to as “3D printing,” with applications ranging from aerospace and electronics to pharmaceuticals and personalized medical devices.
Our team comprises exceptional researchers having diverse backgrounds and prior experiences. We are actively seeking new members to join our team. Interested individuals are encouraged to find out more and connect with current members.
Principal Investigator
Davis J. McGregor
Assistant Professor - Mechanical Engineering | University of Maryland, College Park
Davis J. McGregor, Ph.D. is Director of the MIRAGE Lab and Assistant Professor of Mechanical Engineering at the University of Maryland, College Park.
Dr. McGregor is interested in how software and data can be leveraged to improve manufacturing and part qualification. He investigates methods for automating metrology of diverse part geometries using computer vision and computational geometry, and is developing machine learning models for rapidly qualifying additively manufactured parts. He is especially interested in developing models for qualifying part designs that have never previously been made, enabling first-time-right manufacturing strategies for additive manufacturing.
Before joining the University of Maryland in 2023, Dr. McGregor was Staff Manufacturing Scientist at Fast Radius, which was acquired by SyBridge Technologies in December 2022. While there, he led the development of manufacturing intelligence algorithms and the framework for continuous feedback and improvement of machine learning models.
Dr. McGregor received a Ph.D. from the University of Illinois Urbana-Champaign. He has published 11 journal articles with over 250 citations and is part of 5 pending patent disclosures.
Applications
Aerospace
Automotive
Electronics
MEDICAL DEVICES
PHARMACEUTICALS
Consumer Goods
Industry & Research Partners
Interested in Working with Us?
News
March 2024: Dr. McGregor was invited to speak at the National Academies' workshop on future directions for statistics, data analytics, AI, and digital twins for additive manufacturing qualification. Watch the recording online (day 3).
February 2024: Our research on how to think about geometry repeatability for patient-specific AM medical devices was published in Additive Manufacturing Letters. https://doi.org/10.1016/j.addlet.2024.100200
January 2024: Welcome Jack (PhD) and Brandon (MS) to the MIRAGE Lab!