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Qin-Shen Su

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Preprint Sep 2026

Reconstruction of Molten Pool Flow Fields from High-Speed Video Using Physics-Informed Neural Networks

Molten pool flow significantly influences bead geometry, defect formation, and solidification microstructure in wire-arc directed energy deposition (DED). However, direct flow sensing remains an open challenge due to extreme temperatures, intense arc illumination, and complex flow patterns. Traditional research has rel...

Yue Cao, Qin-Shen Su, Ho-Ang-Tien Dung et al. · 0 citations

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