Fast-printed laser-induced-graphene pattern enabling directional thermal manipulation

Hou, Maoxiang; Bu, Yixuan; Chen, Yun; Guo, Yuanhui; Wen, Guanhai; Chen, Xin

doi:10.1016/j.ijheatmasstransfer.2022.123303

Cited by 7 publications

(1 citation statement)

References 32 publications

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“…Currently, the fabrication of DC electric metamaterials is achieved by creating resistor networks [21], [30], [31] and by stacking or merging thin layers of materials [22], [23], [32]. To solve the challenge of rapid and cost-effective fabrication, recently a laser-induced-graphene method was introduced for thermal metamaterials [33]. In this respect 3D-printing, and especially FFF with its anisotropy due to the structured materials it produces, can offer advantages in terms of costs, geometric freedom, available materials, lead time and embedding when used as fabrication method for DC metamaterials [34]- [37].…”

Section: Introductionmentioning

confidence: 99%

DC Electric Metamaterial Behavior in Fused Filament Fabrication Prints With Tuned Interfaces

Dijkshoorn,

Hamstra,

Sanders

et al. 2024

IEEE Flex. Electron.

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DC Electric metamaterials are interesting for electronics, sensors and actuators by enabling steering of current. In this paper we realize such DC electric metamaterials with Fused Filament Fabrication by tuning the nozzle temperature, bed temperature and extrusion width to achieve anisotropic electrical conduction. Both temperatures influence the magnitude of the contact resistance between printed lines, whereas the extrusion width determines the number of interfaces per unit length. An anisotropic effective medium approximation model is used to analyze the effect of the electrical parameters and is verified with Finite Element (FEM) simulations. Measurements are performed with a setup inspired by the pseudo-Hall effect. Finally, exploiting the anisotropic properties of 3D printed conductors, we present a current concentrator and its operation is demonstrated through IR thermography and voltage measurements.

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Section: Introductionmentioning

confidence: 99%

DC Electric Metamaterial Behavior in Fused Filament Fabrication Prints With Tuned Interfaces

Dijkshoorn,

Hamstra,

Sanders

et al. 2024

IEEE Flex. Electron.

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Intelligent Soft Quasi‐Organism Equipped with Sensor‐Driven Integrated Tentacles

Liu,

Luo,

Liu

et al. 2024

Adv Funct Materials

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Integration of soft electronic system components is critical to create a closed‐loop system that seamlessly integrates sensing, driving, processing, and autonomous control capabilities. However, the existence of these components, particularly sensors and actuators, in isolated or discrete forms complicates the endeavor to achieve seamless interface matching and in situ integration, no more than the autonomic system. Here, an intelligent soft quasi‐organism (SQO) equipped with sensor‐driven integrated tentacles is demonstrated, featuring real‐time state recognition and autonomous object recognition inspired by the sea anemones. By employing a heterogeneous mechanisms homotopic integration (HMHI) strategy, the tentacles of the SQO possess the unique ability to simultaneously perceive state changes and flexibly drive motions, utilizing the same material and structure. The sea anemone‐shaped SQO exhibits real‐time autonomous state identification capabilities through the integration of machine learning and customized circuits, attaining 100% recognition accuracy across sixteen states. With a neuromuscular system that facilitates active autonomous perception, the anemone‐shaped SQO can recognize and intelligently grasp static objects with an accuracy of 80.7%, surpassing that of a human hand (74.7%). The SQO provides a promising approach for realizing artificial neuromuscular systems, with great potential for applications in crucial areas such as intelligent soft robotics and in vivo therapy.

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Dual-indicators machine learning assisted processing high-quality laser-induced fluorine-doped graphene and its application on droplet velocity monitoring sensor

Xie,

Guo,

Chen

et al. 2024

Carbon

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Fast-printed laser-induced-graphene pattern enabling directional thermal manipulation

Cited by 7 publications

References 32 publications

DC Electric Metamaterial Behavior in Fused Filament Fabrication Prints With Tuned Interfaces

DC Electric Metamaterial Behavior in Fused Filament Fabrication Prints With Tuned Interfaces

Intelligent Soft Quasi‐Organism Equipped with Sensor‐Driven Integrated Tentacles

Dual-indicators machine learning assisted processing high-quality laser-induced fluorine-doped graphene and its application on droplet velocity monitoring sensor

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