Yangfan Wang

Papers

Total Citations

113

H-Index

About

Yangfan Wang is a leading researcher in advanced manufacturing, specializing in wire and arc additive manufacture (WAAM) and cold metal transfer (CMT) technologies. His seminal 2018 paper, "Cold Metal Transfer (CMT) Based Wire and Arc Additive Manufacture (WAAM) System," has garnered 113 citations, establishing a foundational framework for high-build-rate, near-net-shape component production. Wang’s major contribution lies in integrating industrial robot operation systems with 3D path simulation software, enabling precise, layer-by-layer fabrication of complex metal parts. This work addresses critical challenges in additive manufacturing, such as thermal distortion and deposition efficiency, by leveraging CMT’s low heat input and stable metal transfer. His innovations have practical implications for aerospace, automotive, and tooling industries, where rapid prototyping and repair of large-scale components are essential. Wang’s research bridges simulation and real-world application, offering a scalable pathway for automated, high-quality metal additive manufacturing. His achievements underscore a commitment to advancing sustainable, cost-effective production methods, making him a notable figure in the field of digital and robotic manufacturing.