Minghai Wang

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About

Minghai Wang is a leading researcher in advanced manufacturing and metrology, specializing in the three-dimensional scanning and robotic path planning of complex aerospace components. His work focuses on overcoming critical challenges in the high-precision, efficient measurement of large and irregular parts, such as aviation engine casings and other large aerospace structures. Wang’s major contributions include pioneering methods for automated scanning trajectory optimization using industrial robots, ensuring full-coverage measurement that traditional systems often fail to achieve. His 2023 paper on three-dimensional scanning path planning for casing parts (5 citations) introduced novel principles for tracking scanners in chemical milling processes, directly addressing industry needs for rapid geometric inspection. Building on this, his 2024 study on dynamic scanning trajectories for large aerospace parts (2 citations) further advanced the field by tackling the scalability and precision demands of next-generation manufacturing. Though early in its citation impact, Wang’s work is foundational for integrating robotics with non-contact metrology, promising to enhance quality control in aerospace production. His research is highly relevant for students and engineers seeking to bridge automation, sensor technology, and industrial inspection.