Wangzhe Du
Papers
1
Total Citations
23
H-Index
1
About
Wangzhe Du is a prominent researcher in advanced manufacturing and intelligent robotics, with a core focus on defect detection and process optimization in additive manufacturing. His most-cited work, "Visual Detection of Surface Defects Based on Self-Feature Comparison in Robot 3-D Printing" (2019, 23 citations), introduces a novel self-feature comparison method for identifying surface anomalies during Fused Deposition Modeling (FDM) printing. This contribution addresses a critical challenge in 3D printing—ensuring part quality and preventing structural collapse—by leveraging real-time visual feedback without requiring pre-trained defect templates. Du’s approach enhances the reliability of robot-assisted printing systems, bridging computer vision and manufacturing automation. His research has significant implications for reducing material waste and improving production efficiency in industrial settings. With growing citation impact, Du’s work is increasingly recognized for its practical utility in smart manufacturing. His achievements highlight a commitment to integrating sensing and control technologies, positioning him as a key contributor to the evolution of autonomous, quality-assured 3D printing processes.
Research Focus
Key Achievements
Top Papers
- 1