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.
At the MIRAGE Lab, we envision a future where advanced manufacturing processes are seamlessly integrated with cutting-edge software technologies to revolutionize the quality and precision of manufactured parts. Our goal is to be at the forefront of research and innovation, developing techniques that enhance the capabilities of advanced manufacturing (particularly additive manufacturing) through the power of computer vision, machine learning, and artificial intelligence. We strive to cultivate a collaborative environment that nurtures the growth of exceptional researchers and provides unparalleled professional development opportunities for students and young professionals.
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 always 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, Assistant Professor of Mechanical Engineering at the University of Maryland, College Park, and Fischell Fellow at the Fischell Institute for Biomedical Devices.
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 15 journal articles with over 350 citations, holds one US patent, and is part of 4 pending patent disclosures.
Applications
Aerospace
Automotive
Electronics
MEDICAL DEVICES
PHARMACEUTICALS
Consumer Goods
Industry & Research Partners
Our mission
- Engage in collaborative projects that address industry needs and drive technological advancements in smart manufacturing and applied AI.
- Implement our research findings and tools in industry scenarios and have tangible impact in five to ten years.
Interested in Working with Us?
News
November 2024: Our paper on optimizing process parameters for laser powder bed fusion additive manufacturing has been published. https://doi.org/10.1115/DETC2024-143279
October 2024: Dr. McGregor spoke at the ASTM International Conference on Advanced Manufacturing (ICAM) in Atlanta, GA. His talk was titled "Automated metrology enables additive manufacturing process insights and predictions."
August 2024: Welcome Rafat (PhD), Ben (BS), and Maxim (BS) to the MIRAGE Lab!