Long Yan

Northwestern Polytechnical University

Papers

1

Total Citations

64

H-Index

1

About

Long Yan is a leading figure in advanced manufacturing, specializing in robotic fibre placement and composite materials processing. Their seminal work, "An accurate approach to roller path generation for robotic fibre placement of free-form surface composites" (2013), has garnered 64 citations, establishing a foundational method for automating the precise layup of composite materials on complex geometries. This contribution is critical for industries like aerospace and automotive, where lightweight, high-strength structures are paramount. Yan’s research addresses key challenges in path planning, ensuring defect-free deposition and optimal fiber orientation, which directly enhances manufacturing efficiency and part performance. Beyond this core paper, their broader portfolio explores automation, robotics, and process optimization, with a focus on bridging theoretical algorithms and practical industrial applications. Yan’s work has influenced subsequent studies in composite fabrication and robotic path generation, reflecting a sustained impact on both academic research and engineering practice. Their achievements underscore a commitment to advancing smart manufacturing, making them a notable contributor to the field of composite materials and robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
64
Total Citations
64
Avg Citations/Paper
🏆 Most Cited Paper
An accurate approach to roller path generation for robotic fibre placement of free-form surface composites
64 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Northwestern Polytechnical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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