Papers
8
Total Citations
81
H-Index
6
About
Dr. Jinghua Xu is a pioneering researcher at the intersection of advanced manufacturing and robotics, whose work is redefining the boundaries of 3D printing and precision engineering. Dr. Xu’s primary research areas include design for additive manufacturing, robotic mechanism precision, and intelligent manufacturing systems. A hallmark of their contributions is the development of a "support diminution design method for layered manufacturing of manifold surface based on variable orientation tracking," which theoretically minimizes external supports to save material and reduce post-processing. This work, cited 17 times, exemplifies their drive toward support-free and efficient fabrication. Dr. Xu has also made significant strides in robotics, introducing a "dexterity distribution design method for attitude adjustment of multi-joint robotics based on singularity-free workspace decomposition" and a "multi-source preventive maintenance based precision sensitivity optimization method for parallel robotic systems." With papers accumulating over 80 citations, including a highly cited 2020 study on precision forward design for 3D printing, Dr. Xu’s research is instrumental in enabling high-quality, robust prototypes. Their recent foray into energy management for biological 3D printing, leveraging manifold model morphing and semi-supervised machine learning, signals a visionary approach to sustainable and intelligent manufacturing.
Research Focus
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