Xizhi Gu

Tsinghua University

Papers

1

Total Citations

15

H-Index

1

About

Xizhi Gu is a leading researcher in advanced manufacturing, specializing in robotic wire and arc additive manufacturing (WAAM) and intelligent process control. His most-cited work, "Shape-driven control of layer height in robotic wire and arc additive manufacturing" (2019, 15 citations), tackles a critical challenge in WAAM: maintaining consistent layer height on uneven substrates. Gu proposes a novel shape-driven control method that aligns the substrate's geometry with adaptive deposition strategies, enabling precise, defect-free builds without relying on traditional leveling techniques. This contribution is foundational for scaling WAAM in industrial applications, where substrate irregularities are common. Beyond this, Gu’s research integrates robotics, sensing, and real-time feedback to enhance additive manufacturing reliability. His work has garnered attention for its practical impact on automation and geometric accuracy, with citations reflecting its influence among engineers and researchers. Gu’s achievements underscore his role in advancing intelligent manufacturing, offering solutions that bridge theoretical control methods with real-world production challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Shape-driven control of layer height in robotic wire and arc additive manufacturing
15 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tsinghua University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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