Hanliang Fang
Papers
2
Total Citations
29
H-Index
2
About
Hanliang Fang is a researcher specializing in precision engineering and parallel kinematic machines (PKMs), with a particular focus on the modeling, analysis, and accuracy synthesis of complex robotic manipulators. His work addresses critical challenges in high-precision hybrid machine tools, especially those with one translational and two rotational (1T2R) motion capabilities. Fang's major contributions include developing a Chebyshev inclusion function-based interval kinetostatic modeling approach for Exechon-like PKMs, which enables robust parameter sensitivity analysis under parameter uncertainties—a key advancement for improving machine reliability and performance. He also introduced a geometric error propagation model-based accuracy synthesis method for 1T2R parallel manipulators, providing a systematic framework to meet the stringent precision requirements of modern hybrid machine tools. His most-cited paper (2020) has garnered 19 citations, while his 2022 work on geometric error propagation has already accumulated 10 citations, reflecting growing interest in his methodologies. By bridging theoretical modeling with practical accuracy synthesis, Fang's research offers valuable tools for designing more precise and reliable parallel kinematic systems, making him a notable contributor to the field of precision robotics and manufacturing.
Research Focus
Key Achievements
Top Papers
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