Zongjie Lin

East China University of Science and Technology

Papers

Total Citations

H-Index

About

Zongjie Lin is a pioneering researcher at the forefront of intelligent manufacturing and industrial robotics, with a primary focus on digital twin technology and autonomous welding systems. His most impactful work, "Digital Twin Implementation of Autonomous Planning Arc Welding Robot System" (2023), has already garnered 27 citations, demonstrating its significance in the field. Lin's major contribution lies in revolutionizing ship sub-assembly welding by developing a digital twin framework that enables real-time simulation and optimization of welding path planning for arc welding robots. This innovation addresses critical industry challenges by enhancing production efficiency, reducing costs, and improving the safety of replacing human welders in hazardous environments. His research bridges the gap between virtual modeling and physical robotic control, offering a scalable solution for smart manufacturing. Lin's work is particularly notable for its practical application in shipbuilding, one of the most demanding industrial sectors, and his achievements underscore the transformative potential of digital twins in automating complex manufacturing processes.