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About

Tianqi Tong is a rising researcher in intelligent manufacturing and shipbuilding automation, with a core focus on smart factory design and robotic coating systems for large-scale marine applications. His work addresses critical challenges in China’s shipbuilding industry, combining computational modeling with practical engineering solutions. Tong’s most-cited paper, “Intelligent initial model and case design analysis of smart factory for shipyard in China” (2023, 15 citations), provides a foundational framework for digitizing shipyard operations. He has made significant contributions to spray-painting robotics, establishing mathematical models for fan nozzle cavity flow and jet atomization, and simulating spray flow under varying pressures using a 0.48 caliber nozzle case study (11 citations). Notably, Tong designed a negative-pressure vacuum recovery hood to mitigate paint mist pollution during ship outer-panel spraying, with the nozzle positioned at the recovery hood’s center—a practical innovation addressing environmental and safety concerns (7 citations). His simulation-driven approach to optimizing coating processes and reducing industrial waste demonstrates a strong impact on sustainable manufacturing. With cumulative citations nearing 40, Tong’s work is shaping the next generation of intelligent, eco-friendly shipyard technologies.