Papers
1
Total Citations
6
H-Index
1
About
Yaxing Song is a pioneering researcher in advanced manufacturing, with a focus on robotic additive manufacturing and continuous fiber composites. His work centers on developing intelligent fabrication methods that enhance the structural integrity and design flexibility of composite materials. Song’s most-cited paper, "Curved layering and path planning of continuous fiber composites based on multi-direction slicing for robotic additive manufacturing" (2025), introduces a novel approach to path planning that enables curved, multi-directional layering—overcoming traditional limitations of planar slicing. This contribution has garnered 6 citations in a short time, signaling growing influence in the field. By integrating robotics with composite material science, Song addresses critical challenges in producing lightweight, high-strength components for aerospace, automotive, and biomedical applications. His research bridges computational geometry and manufacturing automation, offering practical solutions for complex geometries. Song’s work is notable for its potential to revolutionize how continuous fiber composites are fabricated, making additive manufacturing more versatile and efficient. As a rising voice in manufacturing innovation, his contributions are shaping the next generation of smart, adaptive production systems.
Research Focus
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Top Papers
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