A review of additive manufacturing of metamaterials and developing trends

Fan, Junxiang; Zhang, Lei; Wei, Shuaishuai; Zhou, Zhi; Choi, Seung-Kyum; Song, Bo; Shi, Yusheng

doi:10.1016/j.mattod.2021.04.019

Cited by 207 publications

(56 citation statements)

References 235 publications

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“…However, a large device scale is required for low-frequency waves because the lattice constant should be on the same scale as the manipulated wavelength (Huang et al, 2019). In recent decades, acoustic metamaterials (AMMs) that can generate bandgaps based on the local resonant phenomenon have been considered as a promising solution for sound absorption in the low-frequency regime (Cummer et al, 2016;Ma and Sheng, 2016;Fan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Barrier-free duct muffler for low-frequency sound absorption

Gao

Hu²,

Mei

et al. 2022

Front. Mater.

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We demonstrate a duct muffler design that operates in the low-frequency range (<2000 Hz). The device contained a pair of coupled annular Helmholtz resonators (HRs) and porous material stuffing. HRs were installed as side branches of a circular tube to avoid affecting the ventilation. Porous materials were employed to form an asymmetric intrinsic loss in the HR pair and enable the device to achieve perfect sound absorption. An analytical model based on the temporal coupled-mode theory was derived, and a numerical simulation technique for structural design was introduced and verified. The experimental study demonstrated the effectiveness of the design methodology and illustrated that the device can achieve near-perfect sound absorption in the desired frequency range. A symmetrical configuration of the HRs also experimentally proved to be able to conduct sound absorption for sound incident from both sides of the duct. This study provides a solid foundation for the application of the designed muffler and an analytical explanation of the corresponding sound absorption mechanisms.

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Section: Introductionmentioning

confidence: 99%

Barrier-free duct muffler for low-frequency sound absorption

Gao

Hu²,

Mei

et al. 2022

Front. Mater.

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“…Multi-material fabrication poses new challenges in the design and fabrication of smart components [ 26 ]. Recent advancements in the field of design, modeling and simulation, fabrication, and testing of lattice structures can be found in the following review papers [ 127 , 128 , 129 , 130 , 131 , 132 , 133 , 134 , 135 , 136 ]. Deriving the effective properties of additively manufactured micro-lattice structures is an important tool in the hands of designers for performing fast simulations at a low computational cost [ 126 , 137 , 138 , 139 ].…”

Section: Design Considerationsmentioning

confidence: 99%

Design Aspects of Additive Manufacturing at Microscale: A Review

et al. 2022

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Additive manufacturing (AM) technology has been researched and developed for almost three decades. Microscale AM is one of the fastest-growing fields of research within the AM area. Considerable progress has been made in the development and commercialization of new and innovative microscale AM processes, as well as several practical applications in a variety of fields. However, there are still significant challenges that exist in terms of design, available materials, processes, and the ability to fabricate true three-dimensional structures and systems at a microscale. For instance, microscale AM fabrication technologies are associated with certain limitations and constraints due to the scale aspect, which may require the establishment and use of specialized design methodologies in order to overcome them. The aim of this paper is to review the main processes, materials, and applications of the current microscale AM technology, to present future research needs for this technology, and to discuss the need for the introduction of a design methodology. Thus, one of the primary concerns of the current paper is to present the design aspects describing the comparative advantages and AM limitations at the microscale, as well as the selection of processes and materials.

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“…For a long time, airplane wings are fabricated with straight ribs. Advances in manufacturing have enabled the fabrication of advanced materials and structures with complex architecture from nanoscale macroscale [46,47,48,49,50,51,52,53]. However, obtaining a very stiff design for the airplane wing is a crucial challenge.…”

Section: Application Of Designing An Airplane Wingmentioning

confidence: 99%

Dragonfly-Inspired Wing Design Enabled by Machine Learning and Graphic Statics

Akbarzadeh

Zheng

Mofatteh

et al. 2022

Preprint

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This research relates the morphology of the structural network of a dragonfly wing to the static equilibrium of forces using a geometry-based equilibrium method known as graphic statics. It then develops machine learning algorithms to generate similar structural networks for designing airplane wings using the in-plane equilibrium information of the dragonfly wing. This approach can generate a structural network in equilibrium with no prior information related to the topology or geometry of the network just by receiving the boundary geometry of the wing. This research shows that the internal network of the dragonfly wing can be assumed to be compression or tension-only system on a 2D plane. Consequently, another diagram is constructed to represent the geometric equilibrium of the forces in the initial network. This diagram is called the force diagram in the context of graphic statics. A new wing geometry is reconstructed from the force diagram, with its members sized according to the force magnitude. Both form of the network and its force diagram are used to train machine learning models for the generation of the structural network of the wing. The developed methodology is also capitalized to generate microstructural patterns inspired by other species with networks of convex polygons. We numerically and experimentally examine one application of this method in designing the cellular core, 3D printed by fused deposition modeling, of the airfoil wing, which suggests up to 25% improvement in the out-of-plane stiffness. Our findings suggest this ML-assisted approach enables leveraging million years of evolution in nature to develop the next generation of high-performance, lightweight structures.

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A review of additive manufacturing of metamaterials and developing trends

Cited by 207 publications

References 235 publications

Barrier-free duct muffler for low-frequency sound absorption

Barrier-free duct muffler for low-frequency sound absorption

Design Aspects of Additive Manufacturing at Microscale: A Review

Dragonfly-Inspired Wing Design Enabled by Machine Learning and Graphic Statics

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