Xiaomeng Ma
Papers
1
Total Citations
5
H-Index
1
About
Xiaomeng Ma is a researcher in advanced manufacturing and robotic automation, with a core focus on precision measurement and assembly optimization. Her most-cited work, "Optimization Design for Normal Direction Measurement in Robotic Drilling" (2014, 5 citations), addresses a critical challenge in large-scale assembly: ensuring the perpendicularity of bolting holes in complex, curved workpieces. Ma’s key contribution lies in overcoming the limitations of Computer Aided Design (CAD) models, which often fail to account for manufacturing errors in real-world components. By developing a method to accurately measure the normal direction during robotic drilling, she directly improves the fatigue life and fluid dynamic performance of assembled structures—a vital concern in aerospace and heavy machinery. Though her citation count is modest, the practical significance of her work is underscored by its direct application to high-stakes industrial processes where precision is paramount. Ma’s research bridges the gap between theoretical design and physical reality, offering a robust solution for enhancing the reliability and longevity of bolted joints in demanding environments.
Research Focus
Key Achievements
Top Papers
- 1Optimization Design for Normal Direction Measurement in Robotic Drilling5 citations · 2014