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In Review

  1. Bimrose, M.V., T. Hu, D.J. McGregor, J. Wang, S. Tawfick, C. Shao, Z. Liu, and W.P. King. “Automatic detection of hidden defects and qualification of additively manufactured parts using X-ray computed tomography and computer vision.” Submitted.

Published / Accepted

10. Using machine learning to predict dimensions and qualify diverse part designs across multiple additive machines and materials
Additive Manufacturing | July 2022
We developed a data model that describes additive part design information and manufacturing process information using both continuous and categorical variables. A support vector regression (SVR) machine learning model is trained using this data to predict part geometry to within 53 microns. The model is extended to classify the parts as either acceptable or unacceptable with 81% accuracy.
9. Large batch metrology on internal features of additively manufactured parts using X-ray computed tomography
Journal of Materials Processing Technology | April 2022
This study presents an automated method for batch X-ray computed tomography (CT) metrology using open-source software, and investigates 48 nozzle parts made using various additive manufacturing materials and processes. We find that external feature accuracy is not highly correlated with internal feature accuracy. Additionally, part-to-part repeatability for a given material and process is very good.
8. Hierarchical data models improve the accuracy of feature level predictions for additively manufactured parts
Additive Manufacturing | January 2022
A Hierarchical Bayesian Linear Model (HBLM) models the effects of multiple additive manufacturing production factors on part geometry. Gaussian process (GP) captures the feature-level spatial variation that can be unique to each part. Together, these models predict part geometry to within 10 microns.
7. Ultra-power-dense heat exchanger development through genetic algorithm design and additive manufacturing
Joule | September 2021
We show design automation and additive manufacturing that can achieve high heat transfer with complex 3D structures internal to the heat exchanger that cannot be made with conventional methods. The resulting device achieves a power density and specific power significantly higher than that of most conventional heat exchangers.
Selected Press: ASME
6. Effect of an added mass on the vibration characteristics for raster scanning of a cantilevered optical fiber
ASME J. of Medical Diagnostics | May 2021
Piezoelectric tube actuators with cantilevered optical fibers enable the miniaturization of scanning image acquisition techniques for endoscopic implementation. We explore adding a mass at an intermediate location along the length of the fiber to alter the resonant frequencies of the system and enable raster scanning. We provide a mathematical model to predict resonant frequencies for a cantilevered beam with an intermediate mass.
5. Analyzing part accuracy and sources of variability for additively manufactured lattice parts made on multiple printers
Additive Manufacturing | April 2021
Framework for analyzing additive manufacturing variability. Statistical modeling analyzes accuracy for hexagonal lattice parts made on multiple printers. Part accuracy varies for different printers even when all other parameters are constant.
Selected Press: Press Release
4. Emergency ventilator for COVID-19
PLOS ONE | December 2020
In response to the need for mechanical ventilators, we designed and tested an emergency ventilator (EV) that can control a patient’s peak inspiratory pressure (PIP) and breathing rate, while keeping a positive end expiratory pressure (PEEP). This article describes the rapid design, prototyping, and testing of the EV. The development process was enabled by rapid design iterations using additive manufacturing (AM). In the initial design phase, iterations between design, AM, and testing enabled a working prototype within one week.
Selected Press: UIUC RapidVent
3. Automated metrology and geometric analysis of additively manufactured lattice structures
Additive Manufacturing | August 2019
Conventional methods for measuring part geometry and performing quality control, which typically use a small number of low-dimensional measurements, are not well suited for the complex structures enabled by additive manufacturing (AM), such as lattice structures. This paper describes a method for scanning and automatically extracting hundreds of individual features and applies this method to characterize AM lattice structures in both two-dimensional and three-dimensional lattices.
2. Mechanical properties of hexagonal lattice structures fabricated using continuous liquid interface production additive manufacturing
Additive Manufacturing | January 2019
Recent advancements in AM have enabled rapid production speeds, high spatial resolution, and a variety of engineering polymers. An open question remains whether production grade additive manufacturing (AM) can accurately and repeatably produce lattice parts. This study presents design, production, and mechanical property testing of hexagonal lattice parts manufactured using continuous liquid interface production (CLIP) based AM.
Selected Press:
1. Single lens system for forward-viewing navigation and scanning side-viewing optical coherence tomography
Proc. SPIE 10040, Endoscopic Microscopy XII | February 2017
The optical design for a dual modality endoscope based on piezo scanning fiber technology is presented including a novel technique to combine forward-viewing navigation and side viewing OCT. Potential applications include navigating body lumens such as the fallopian tube, biliary ducts and cardiovascular system. A custom cover plate provides a rotationally symmetric double reflection of the OCT beam to deviate and focus the OCT beam out the side of the endoscope for cross-sectional imaging of the tubal lumen.
Selected Press: SPIE


  • Machine learning predicts additive manufacturing part quality: Tutorial on support vector regression
    • Invited presentation at nanoHUB (online). August 2022.
    • Hands on Python / Jupyter Notebook tutorial using SVR to predict the quality of AM parts
    • YouTube recording and Jupyter Notebook
  • Large batch metrology on internal features of additively manufactured parts using X-ray computed tomography
    • Invited presentation at J. of Materials Processing Technology (online). August 2022.
  • Monitoring part quality across multiple printers using automated metrology
    • Presentation at the ASTM International Conference on Additive Manufacturing, Anaheim, CA, USA (online). November 2021.
  • Factory-level analysis of additively manufactured lattice structures using automated metrology
    • Presentation at the ASME International Mechanical Engineering Congress and Exposition, Portland, OR, USA (online). November 2020.
  • Mechanical properties of hexagonal lattices fabricated using continuous liquid interface production AM
    • Poster at the IUTAM Symposium Architectured Materials Mechanics, Chicago, IL, USA. September 2018.
  • Mechanical design and characterization of resonant fiber-optic piezoelectric scanners
    • Poster at the AZBio Expo, Phoenix, AZ, USA. March 2017.
    • Poster at the Univ. of Arizona Biomedical Engineering Design & Builders Day, Tucson, AZ, USA. March 2017.
    • Poster at the Univ. of Arizona Student Showcase, Tucson, AZ, USA. February 2017.

Contact / PDF Access

Copyrights limit what I can share on this website. If you are interested in reading one of my publications but do not have journal access, I am happy to privately share a PDF copy. Send an email with subject line “Paper Request” to davisjmcgregor{at}gmail{dot}com. Feel free to reach out for other reasons as well!