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Multi-Axis Additive Manufacturing: From Optimized Slicer to Motion Planning

Distinguished Research Seminar Series

20230324Prof Charlie C L WangEvent banner
  • Date

    24 Mar 2023

  • Organiser

    Department of Industrial and Systems Engineering, PolyU; Research Institute for Advanced Manufacturing (RIAM)

  • Time

    15:30 - 17:00

  • Venue



Prof. Charlie C. L. Wang

20230324Prof Charlie C L WangPoster


In this talk, I am going to introduce our recent research effort to push the boundary of multi-axis additive manufacturing (MAAM). Multi-axis motion introduces more degrees of freedom into the process of 3D printing to enable different objectives of fabrication by accumulating materials layers upon curved layers. An existing challenge is how to effectively generate the curved layers satisfying multiple objectives simultaneously. I will present a general slicing framework for achieving multiple fabrication objectives including support free, strength reinforcement and surface quality, which is based on computing rotation-driven deformation in an optimization framework with the help of quaternion fields. To perfectly realize computed toolpaths, motion planning for both the articulated robots and the multi-axis parallel machines are considered in our research to improve the kinematics in MAAM. Problems of jerk, singularity and collision are considered in an integrated manner to improve the motion therefore the quality of fabrication.

Keynote Speaker

Prof. Charlie C. L. Wang

Prof. Charlie C. L. Wang

Chair Professor of Smart Manufacturing
Department of Mechanical, Aerospace and Civil Engineering
Faculty of Science and Engineering
The University of Manchester, UK

Charlie C. L. Wang is a Chair Professor of Smart Manufacturing at the University of Manchester (UoM). Before joining UoM in 2020, he worked as a Professor and Chair of Advanced Manufacturing at Delft University of Technology, The Netherlands (2016) and as a Professor (2015) / Associate Professor (2009) / Assistant Professor (2003) of Mechanical and Automation Engineering at the Chinese University of Hong Kong. He received his B.Eng. degree (1998) in mechatronics engineering from Huazhong University of Science and Technology and his Ph.D. degree (2002) in mechanical engineering from Hong Kong University of Science and Technology (HKUST). Prof. Wang is well-known for his research in computational design and manufacturing with a focus on geometric computing, optimisation, and modeling. He was the recipient of several awards, including the ASME CIE Excellence in Research Award (2016), the ASME CIE Young Engineer Award (2009), eight Best Paper Awards, five project-oriented technology innovation awards and three teaching awards. He was elected to be a Fellow of American Society of Mechanical Engineers (ASME) in 2013, and is currently chairing the executive committee of Solid Modeling Association (SMA).

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