Haoxiang Li

Haoxiang Li

Simulation Team Lead at a robotics startup in Shenzhen. Ph.D. in Computer Graphics, Nanyang Technological University (NTU), Singapore. I build GPU-accelerated rigid–soft coupled simulation engines, generate large-scale robot interaction data for world-model training, and work on nonlinear optimization for multi-material 3D printing design.

Designing Multi-Material Distributions in 3D Parts for Desired Deformation Behaviour

Published in Dagstuhl Seminar 24241 – Dagstuhl Reports, 14(6), 52–83, 2024

This contribution describes a complete and efficient pipeline for designing multi-material distributions in 3D parts so that the printed part exhibits a desired deformation behaviour. It covers deformation target specification, material parameterization with differentiable interpolation relaxation, and large-scale discrete optimization, and has been validated through simulation and physical 3D-printed customized insoles.

Recommended citation: Jianmin Zheng, Haoxiang Li. (2024). "Designing Multi-Material Distributions in 3D Parts for Desired Deformation Behaviour." In Geometric Modeling: Challenges for Additive Manufacturing, Design and Analysis (Dagstuhl Seminar 24241), Dagstuhl Reports, 14(6).
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