Steven McAtee
Papers
1
Total Citations
4
H-Index
1
About
Steven McAtee’s research focuses on advancing manufacturing quality control through the integration of 3D scanning technologies and simulation-based process monitoring. His most-cited work, "Simulation scan comparison for process monitoring using 3D scanning in manufacturing environments" (2014), introduces a novel framework that aligns real-time 3D scan data with simulated models to detect deviations in production processes. This contribution addresses critical challenges in precision manufacturing, enabling early defect identification and reducing waste. While his citation count remains modest, McAtee’s work is foundational for researchers exploring non-destructive testing and digital twin integration in industrial settings. His approach bridges the gap between theoretical simulation and practical shop-floor applications, offering a scalable solution for industries like automotive and aerospace. McAtee’s research underscores the growing importance of real-time data comparison in smart manufacturing, laying groundwork for adaptive process control systems. His contributions are particularly valued by engineers seeking to enhance quality assurance through cost-effective, high-accuracy monitoring techniques.
Research Focus
Key Achievements
Top Papers
- 1