Papers
5
Total Citations
165
H-Index
3
About
Youxiang Chew is an emerging researcher at the forefront of intelligent monitoring and quality assurance in additive manufacturing, with a specialized focus on laser-directed energy deposition (L-DED). His work centers on the innovative integration of multisensor fusion, digital twin technology, and real-time defect detection to advance the reliability and precision of robotic additive manufacturing processes. Chew's most impactful contribution — his 2023 paper on multisensor fusion-based digital twins for localized quality prediction in robotic L-DED — has garnered an impressive 124 citations, signaling rapid recognition within the manufacturing and materials engineering communities. This work, alongside his complementary research on multimodal sensor fusion for real-time, location-dependent defect detection, challenges the limitations of traditional single-sensor monitoring approaches by demonstrating that acoustic, visual, and thermal data streams, when combined, yield far superior process insights. His more recent 2024 investigation into inferring melt pool characteristics from acoustic signals and robotic motion data further showcases his drive to develop flexible, camera-independent monitoring solutions. Collectively, Chew's research is shaping a new paradigm in smart manufacturing — one where intelligent data fusion enables proactive quality control at every stage of the build process.
Research Focus
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