Abstract
Metamaterials, also known as lattice-structured materials, imitate the multifunctionality of natural architects as tailoring their physical properties is associated with manipulating their microstructure. As the recent evolution of additive manufacturing enables the creation of intricate geometries with minimal material wastage, improving the design to manufacturing cycle of lattice structured materials has become one of the trending research areas. Triply periodic minimal surface (TPMS) and plate lattice materials are renowned for their exceptional mechanical behavior in lightweight applications. Apparently, several types of design optimization strategies are explored to maximize their performance for better biocompatibility and mechanical loading resistance. Some of these strategies include functional gradation and multimorphology hybridization that are comprehensively described in this review. Their benefits and drawbacks are highlighted with a focus on TPMS and plate lattice materials. The review anticipates the utilization of automated design exploration methods (i.e., topology optimization and data-driven methods) to further enhance the design optimization procedure of lattice structured materials.
Original language | British English |
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Article number | 2201780 |
Journal | Advanced Engineering Materials |
Volume | 25 |
Issue number | 17 |
DOIs | |
State | Published - Sep 2023 |
Keywords
- design optimizations
- functional gradation
- lattice-structured materials
- machine learning
- multimorphology hybridization
- topology optimization