Papers
9
Total Citations
104
H-Index
4
About
Frank Liou is a pioneering researcher in advanced manufacturing, whose work bridges additive and subtractive processes to create hybrid manufacturing systems. His primary research areas include fused pellet modeling (FPM), robot trajectory optimization, and voxel-based geometry reconstruction for repair and remanufacturing. Liou’s most impactful contribution is his 2016 paper on a large-scale deposition system using an industrial robot for FPM, which has garnered 53 citations and established a foundation for scalable additive manufacturing with granular materials instead of filaments. He also developed voxel-based geometry reconstruction methods (2021, 24 citations) that enable precise repair of metallic components, significantly advancing remanufacturing technologies. Liou’s work on industrial robot accuracy evaluation maps (2018) and stiffness mapping (2016) addresses critical challenges in hybrid manufacturing, improving deposition and machining precision. His earlier spiral-like path planning (2006) eliminated gaps in material deposition, enhancing surface quality. With a career spanning from multi-body system advisory tools (1994) to five-axis laser-aided manufacturing (2001), Liou has consistently pushed the boundaries of automation and geometric reasoning. His research is essential reading for engineers seeking to scale additive manufacturing and integrate robotics into production workflows.
Research Focus
Key Achievements
Top Papers
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- 4Spiral-Like Path Planning Without Gap for Material Deposition Processes6 citations · 2006
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- 7Realisation of robot ink deposition on a curved surface2 citations · 2016
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