<p>Lattice structures have become integral to developing lightweight, high-performance materials for additive manufacturing. This paper introduces a tool, StrutGen, for generating and exporting strut and plate-type lattice structures through implicitly defined Signed Distance Functions (SDF). The framework provides researchers with a high level of customization and control through features such as the generation and homogenization of straight-strut, curved-strut, hollow-strut, and plate-type lattices, custom unit cell configuration, hybridization of lattice topologies, and field-driven grading. To validate the effectiveness of this framework, intricate lattice structures were additively manufactured using photosensitive resin, and experimental samples were subjected to mechanical characterization. The results confirmed the tool’s capability to produce practical high-fidelity geometries suitable for experimental tests, functional applications, and aesthetics. Additionally, porosity and runtime analyses highlighted the impact of grid resolution, periodicity, and cell topology on relative density accuracy and computational efficiency. It was found that a balance between accuracy and effective computational time is achieved when the lattice domain is discretized into a number of triaxial gridpoints between 30 and 50. The versatility and high-fidelity of this tool makes it valuable for researchers exploring advanced lattice configurations for applications in additive manufacturing.</p>

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Coordinate-driven implicit modeling of straight-strut, curved-strut and plate-type lattice structures for additive manufacturing

  • Alex Inoma,
  • Osezua Ibhadode

摘要

Lattice structures have become integral to developing lightweight, high-performance materials for additive manufacturing. This paper introduces a tool, StrutGen, for generating and exporting strut and plate-type lattice structures through implicitly defined Signed Distance Functions (SDF). The framework provides researchers with a high level of customization and control through features such as the generation and homogenization of straight-strut, curved-strut, hollow-strut, and plate-type lattices, custom unit cell configuration, hybridization of lattice topologies, and field-driven grading. To validate the effectiveness of this framework, intricate lattice structures were additively manufactured using photosensitive resin, and experimental samples were subjected to mechanical characterization. The results confirmed the tool’s capability to produce practical high-fidelity geometries suitable for experimental tests, functional applications, and aesthetics. Additionally, porosity and runtime analyses highlighted the impact of grid resolution, periodicity, and cell topology on relative density accuracy and computational efficiency. It was found that a balance between accuracy and effective computational time is achieved when the lattice domain is discretized into a number of triaxial gridpoints between 30 and 50. The versatility and high-fidelity of this tool makes it valuable for researchers exploring advanced lattice configurations for applications in additive manufacturing.