Journal
ADDITIVE MANUFACTURING
Volume 67, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.addma.2023.103507
Keywords
Lattice structure; Self-supporting; Topology optimization; Additive manufacturing
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This paper presents a method to generate self-supporting lattice structures using topology optimization. The method consists of two phases: TO-based subdivision and TO-based simplification. The subdivision method adaptively generates the lattice structure based on density-based topology optimization, preserving self-supporting properties and avoiding overhanging nodes. The simplification method removes redundant struts while ensuring the required volume and manufacturability. Experimental tests show that the method effectively generates self-supporting lattice structures with stronger mechanical strength.
This paper presents a method to generate self-supporting lattice structures in a topology optimization (TO) framework. Our method is composed of two phases, which are the TO-based subdivision and the TO-based simplification. Starting from a lattice structure with self-supporting lattice unit cells in a coarse resolution, a subdivision method is proposed to adaptively generate the lattice structure based on the density-based topology optimization framework. The subdivision operators are well-designed to preserve self-supporting property on struts, and a filtering approach is proposed to avoid overhanging nodes. To remove redundant struts on the lattice structures generated by subdivision, a simplification method is developed to satisfy the required volume while a self-supporting constraint is incorporated to ensure the manufacturability of the resultant structures. Our method has been tested on both 2D and 3D examples. Experimental tests demonstrate that our method can effectively generate self-supporting lattice structures with stronger mechanical strength.
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