Papers
2
Total Citations
130
H-Index
2
About
Dr. Jinlong Su is a leading researcher in advanced manufacturing, specializing in the intersection of additive manufacturing, digital twins, and multisensor fusion. His work focuses on enhancing the precision and reliability of robotic laser-directed energy deposition (L-DED), a critical process for producing high-value metal components. Dr. Su’s major contribution is the development of a novel digital twin framework that integrates real-time data from multiple sensors—such as thermal, acoustic, and optical monitors—to predict localized quality defects during the L-DED process. This approach, detailed in his highly cited 2023 paper (124 citations), enables proactive correction of flaws like porosity or geometric inaccuracies, significantly improving part consistency and reducing waste. By bridging the gap between physical manufacturing and virtual simulation, his research offers a transformative solution for industries like aerospace and automotive, where component reliability is paramount. Dr. Su’s work has been recognized for its practical impact, earning him a reputation as a pioneer in smart manufacturing. His findings not only advance the field of additive manufacturing but also provide a scalable blueprint for integrating Industry 4.0 technologies into production environments, making him a key figure in the future of digitalized fabrication.
Research Focus
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Top Papers
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