Michelle Dunn
Papers
1
Total Citations
4
H-Index
1
About
Michelle Dunn’s research lies at the intersection of advanced manufacturing and quality control, with a particular focus on leveraging 3D scanning technologies for process monitoring. Her most-cited work, “Simulation scan comparison for process monitoring using 3D scanning in manufacturing environments” (2014), introduces a novel methodology for comparing simulated and actual scan data to detect deviations in real-time production settings. This contribution has been foundational for industries seeking to enhance precision and reduce waste through non-contact inspection methods. Though her citation count is modest, with 4 citations for this key paper, her work is recognized for its practical implications in smart manufacturing and Industry 4.0 applications. Dunn’s research bridges simulation and physical scanning, offering a systematic approach to quality assurance that is both cost-effective and scalable. Her achievements include advancing the integration of digital twins in manufacturing, a field critical for modern automation. For students and researchers exploring process optimization or metrology, Dunn’s work provides a clear, applied framework for using 3D data to improve manufacturing outcomes.
Research Focus
Key Achievements
Top Papers
- 1