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

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

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Model design and slicing contour generation in additive manufacturing(AM)data processing face chal-lenges in terms of efficiency and scalability when stereo-lithography files generated by complex functionally graded structures have millions of faces.This paper proposes a hybrid modeling and direct slicing method for AM to effi-ciently construct and handle complex three-dimensional(3D)models.All 3D solids,including conformal multigra-dient structures,were uniformly described using a small amount of data via signed distance fields.The hybrid rep-resentations were quickly discretized into numerous disor-dered directed lines using an improved marching squares algorithm.By establishing a directional HashMap to con-struct the topological relationship between lines,a connect-ing 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 gra-dient models of arbitrary topologies through hybrid mod-eling.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.

Additive manufacturing(AM)Hybrid modelingDirect slicingSigned distance field

Sen-Lin Wang、Li-Chao Zhang、Chao Cai、Ming-Kai Tang、Si Chen、Jiang Huang、Yu-Sheng Shi

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State Key Laboratory of Materials Processing and Die and Mould Technology,Huazhong University of Science and Technology,Wuhan 430074,People's Republic of China

School of Machinery and Automation,Wuhan University of Science and Technology,Wuhan 430081,People's Republic of China

Key Area Research and Development Program of Guangdong Province国家自然科学基金

2020B09092400251790174

2024

先进制造进展(英文版)

先进制造进展(英文版)

ISSN:
年,卷(期):2024.12(2)