Abstract
G-Lattices (proposed by Armanfar and Gunpinar) are a group of novel periodic and strut-based lattice structures for additive manufacturing. It has been demonstrated that these structures have superior mechanical properties under compression compared to conventional lattice structures. This paper introduces an extension of G-Lattices (i.e., reinforced G-Lattices) that also have better mechanical performance under inclined (compression) loading conditions. For different inclined loads, separate reinforced G-Lattices are first optimized, and a G-Lattice library is formed. For a part under loading, displacement vectors in each unit cell (cubic domains within the inner region of the part) are then extracted. Based on these vectors, (pre-optimized) reinforced G-Lattices are selected from the G-Lattice library and utilized (as infills) in the unit cells. This process is called G-Puzzling. As a proof of concept, parts under three different inclined loading conditions are infilled using reinforced G-Lattices and investigated based on stiffness-over-volume ratios. According to these experiments, the resulting parts, on average, exhibit more than 30% better mechanical performance compared to FBCCZ (a conventional lattice structure).
Original language | English |
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Article number | 101702 |
Journal | Journal of Mechanical Design |
Volume | 145 |
Issue number | 10 |
DOIs | |
Publication status | Published - Oct 2023 |
Bibliographical note
Publisher Copyright:© 2023 American Society of Mechanical Engineers (ASME). All rights reserved.
Keywords
- design automation
- design optimization
- design process
- design theory