Papers
2
Total Citations
12
H-Index
2
About
Xiaolong Hu is a researcher whose work bridges advanced manufacturing and geotechnical engineering, with a primary focus on precision material processing and structural health monitoring. His most impactful contribution lies in robotic belt grinding of superalloys, particularly GH4169, where he has pioneered the analysis of abrasive belt wear effects on residual stress distribution—a critical factor for aerospace component integrity. This 2024 study, already accumulating 10 citations, demonstrates his ability to address real-world manufacturing challenges by linking process parameters to material performance. Hu’s expertise extends to civil engineering, where he investigated automated monitoring systems for deep foundation-pit projects, using three-dimensional finite element modeling with MADIS GTS software to optimize safety protocols in complex urban excavations like the Shenzhen project. His work on integrating nine monitoring items into a 59-sensor automatic system showcases a practical, data-driven approach to risk mitigation. By combining computational modeling with experimental validation, Hu contributes to both high-value manufacturing and infrastructure safety, making his research relevant to engineers seeking to enhance process reliability and structural resilience in demanding environments.
Research Focus
Key Achievements
Top Papers
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