Advances in Manufacturing ›› 2024, Vol. 12 ›› Issue (2): 300-316.doi: 10.1007/s40436-023-00468-8

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Universal and efficient hybrid modeling and direct slicing method for additive manufacturing processes

Sen-Lin Wang1, Li-Chao Zhang1, Chao Cai1, Ming-Kai Tang2, Si Chen1, Jiang Huang1, Yu-Sheng Shi1   

  1. 1 State Key Laboratory of Materials Processing and Die and Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China;
    2 School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
  • Received:2023-02-27 Revised:2023-05-05 Published:2024-05-16
  • Contact: Li-Chao Zhang,E-mail:zlc@hust.edu.cn E-mail:zlc@hust.edu.cn
  • Supported by:
    This work was supported by the Key Area R&D Program of Guangdong Province(Grant No.2020B090924002) and the National Natural Science Foundation of China(Grant No.51790174).

Abstract: Model design and slicing contour generation in additive manufacturing (AM) data processing face challenges in terms of efficiency and scalability when stereolithography files generated by complex functionally graded structures have millions of faces. This paper proposes a hybrid modeling and direct slicing method for AM to efficiently construct and handle complex three-dimensional (3D) models. All 3D solids, including conformal multigradient structures, were uniformly described using a small amount of data via signed distance fields. The hybrid representations were quickly discretized into numerous disordered directed lines using an improved marching squares algorithm. By establishing a directional HashMap to construct the topological relationship between lines, a connecting algorithm with linear time complexity is proposed to generate slicing contours for manufacturing. This method replaces the mesh reconstruction and Boolean operation stages and can efficiently construct complex conformal gradient models of arbitrary topologies through hybrid modeling. Moreover, the time and memory consumption of direct slicing are much lower than those of previous methods when handling hybrid models with hundreds of millions of faces after mesh reconstruction.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-023-00468-8

Key words: Additive manufacturing (AM), Hybrid modeling, Direct slicing, Signed distance field