Yongmeng Liu
Papers
2
Total Citations
8
H-Index
2
About
Yongmeng Liu is a leading researcher in advanced manufacturing and assembly technologies for aero-engines, with a focus on digital twin-driven precision engineering. His work bridges macro- and micro-scale features to enhance the efficiency and accuracy of complex aerospace components. Notably, Liu developed an efficient automated measurement method for fan blade geometric parameters (2024, 6 citations), which streamlines quality control in aero-engine production. He further advanced the field with a macro–micro feature-driven digital twin framework for assembly planning of aero-engine rotors under weak correlation conditions (2026, 2 citations), enabling more reliable and adaptive assembly processes. These contributions address critical challenges in geometric measurement and assembly optimization, directly impacting the performance and safety of modern aircraft engines. Liu’s research is instrumental in pushing the boundaries of digital twin applications for high-precision manufacturing, offering practical solutions for industry. His work continues to influence both academic research and industrial practice in aerospace engineering.
Research Focus
Key Achievements
Top Papers
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- 2