Review of Additively Manufactured Polymeric Metamaterials: Design, Fabrication, Testing and Modeling
Обзор полимерных метаматериалов, изготовленных аддитивными методами: проектирование, изготовление, испытания и моделирование
2023-09-22
SCID: 54.1/nbraaqee
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additive manufacturinglattice materialsmachine learningpolymeric metamaterialstriply periodic minimal surfaces
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Abstract (AI)
Metamaterials are architected cellular materials, also known as lattice materials, that are inspired by nature or human engineering intuition, and provide multifunctional attributes that cannot be achieved by conventional polymeric materials and composites. There has been an increasing interest in the design, fabrication, and testing of polymeric metamaterials due to the recent advances in digital design methods, additive manufacturing techniques, and machine learning algorithms. To this end, the present review assembles a collection of recent research on the design, fabrication and testing of polymeric metamaterials, and it can act as a reference for future engineering applications as it categorizes the mechanical properties of existing polymeric metamaterials from literature. The research within this study reveals there is a need to develop more expedient and straightforward methods for designing metamaterials, similar to the implicitly created TPMS lattices. Additionally, more research on polymeric metamaterials under more complex loading scenarios is required to better understand their behavior. Using the right machine learning algorithms in the additive manufacturing process of metamaterials can alleviate many of the current difficulties, enabling more precise and effective production with product quality.
Key Findings
1
More expedient and straightforward metamaterial-design methods are needed, including approaches analogous to implicitly generated TPMS lattices.
2
Polymeric metamaterials provide multifunctional properties beyond those achievable with conventional polymeric materials and composites.
3
Recent advances in digital design, additive manufacturing, and machine learning have accelerated research on polymeric metamaterial design, fabrication, and testing.
4
Research should expand to polymeric metamaterials under complex loading conditions, while suitable machine-learning algorithms could improve additive-manufacturing precision, efficiency, and product quality.
5
The review categorizes the mechanical properties of polymeric metamaterials reported in the literature, providing a reference for future engineering applications.
Research Object
additively manufactured polymeric metamaterials (architected cellular/lattice materials)
Research Subject
their design, fabrication, testing, mechanical properties, and behavior under complex loading
Publication Details
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2023-09-22
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