Development of Gas Sensor Based on Fractal Substrate Structures

Jiang, Anyan; Tian, Fengchun; Covington, James A.; Jiang, Maogang; Wu, Zhiyuan

doi:10.1109/tim.2022.3175026

Cited by 7 publications

(5 citation statements)

References 32 publications

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“…Jiang's work reported NO sensors with different kinds of fractal structures. 13 Fractal substrates including the Koch snowflake cube, Menger sponge, and cylinder were 3D-printed using nylon filament. Subsequently, an Ag/MWCNT gas-sensitive layer was coated onto the substrates.…”

Section: Composition and Microstructure Adjustmentmentioning

confidence: 99%

“…3D printing techniques offer effective means to construct gas sensors with specially designed geometric structures. Jiang’s work reported NO sensors with different kinds of fractal structures . Fractal substrates including the Koch snowflake cube, Menger sponge, and cylinder were 3D-printed using nylon filament.…”

Section: D-printed Gas Sensing Modulesmentioning

confidence: 99%

“…The symbiotic relationship between manufacturing technology and product performance drives mutual advancement and development. Advanced manufacturing techniques yield devices with revolutionary performances and functionalities, and in turn, these advanced devices stimulate innovation in manufacturing processes. − As we enter the era of intelligent manufacturing, traditional electronic industries are poised to undergo significant transformation. − Gas sensing devices, being an integral part of modern industry, are also poised for transformative advancements. − To enable real-time gas detection and reliable output signals, gas sensors are conventionally designed in accordance with aerodynamic principles or requirements of different detection principles. − However, the study of traditional gas sensing systems commonly focuses on the development or optimization of individual sensor components. − Leveraging the rapid progress in computer technology, it is now possible to holistically optimize the structural model of sensor devices as a unified system through programmable computer simulations, in order to break down the technical requirement barriers among the modules, while still manufacturing their individual modules separately for high-efficiency production. Therefore, it becomes crucial to develop manufacturing processes that offer enhanced precision and efficiency for effectively translating the refined digital model into practical devices. − …”

Section: Introductionmentioning

confidence: 99%

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Programmable and Modularized Gas Sensor Integrated by 3D Printing

Zhou,

Zhao,

Xun

et al. 2024

Chem. Rev.

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The rapid advancement of intelligent manufacturing technology has enabled electronic equipment to achieve synergistic design and programmable optimization through computer-aided engineering. Three-dimensional (3D) printing, with the unique characteristics of near-net-shape forming and mold-free fabrication, serves as an effective medium for the materialization of digital designs into usable devices. This methodology is particularly applicable to gas sensors, where performance can be collaboratively optimized by the tailored design of each internal module including composition, microstructure, and architecture. Meanwhile, diverse 3D printing technologies can realize modularized fabrication according to the application requirements. The integration of artificial intelligence software systems further facilitates the output of precise and dependable signals. Simultaneously, the self-learning capabilities of the system also promote programmable optimization for the hardware, fostering continuous improvement of gas sensors for dynamic environments. This review investigates the latest studies on 3D-printed gas sensor devices and relevant components, elucidating the technical features and advantages of different 3D printing processes. A general testing framework for the performance evaluation of customized gas sensors is proposed. Additionally, it highlights the superiority and challenges of programmable and modularized gas sensors, providing a comprehensive reference for material adjustments, structure design, and process modifications for advanced gas sensor devices.

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Section: Composition and Microstructure Adjustmentmentioning

confidence: 99%

Section: D-printed Gas Sensing Modulesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Programmable and Modularized Gas Sensor Integrated by 3D Printing

Zhou,

Zhao,

Xun

et al. 2024

Chem. Rev.

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“…The diversity of solid nanoparticles and the presence of various binding interactions result in different structures of nano agglomerations, which exhibit a trend of gradual evolution during the agglomeration process. [36][37][38] In many years of fluidization research, researchers have found that the loose structure formed by particle agglomeration has a multi-level evolution process. As shown in Figure 2d, spherical nano-sized primary particles can be presented in the chain-like connections, [31] which can be influenced by the interactions of adhesion and solid bridge force.…”

Section: Structural Evolution Of Nano Agglomerationmentioning

confidence: 99%

Fluidization and Application of Carbon Nano Agglomerations

Chen,

Jiang,

Zhu

et al. 2023

Advanced Science

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Carbon nanomaterials are unique with excellent functionality and diverse structures. However, agglomerated structures are commonly formed because of small‐size effects and surface effects. Their hierarchical assembly into micro particles enables carbon nanomaterials to break the boundaries of classical Geldart particle classification before stable fluidization under gas‐solid interactions. Currently, there are few systematic reports regarding the structural evolution and fluidization mechanism of carbon nano agglomerations. Based on existing research on carbon nanomaterials, this article reviews the fluidized structure control and fluidization principles of prototypical carbon nanotubes (CNTs) as well as their nanocomposites. The controlled agglomerate fluidization technology leads to the successful mass production of agglomerated and aligned CNTs. In addition, the self‐similar agglomeration of individual ultralong CNTs and nanocomposites with silicon as model systems further exemplify the important role of surface structure and particle‐fluid interactions. These emerging nano agglomerations have endowed classical fluidization technology with more innovations in advanced applications like energy storage, biomedical, and electronics. This review aims to provide insights into the connections between fluidization and carbon nanomaterials by highlighting their hierarchical structural evolution and the principle of agglomerated fluidization, expecting to showcase the vitality and connotation of fluidization science and technology in the new era.

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“…A finite element method (FEM) analysis is performed on Menger sponge structures with six different arrangements of a combination of cavities geometries and determines the mechanical response under uniaxial compression loading [8]. The energy absorption and impacting behavior [13,14]; gas sensors micro and macrobased fractals are investigated to enhance performance [15,16]. Furthermore, the FEM analysis is done to study the mechanical properties of light-weighted panels that exhibited a component of a high-level grid when modeled as fractal-like structures [17,18].…”

Section: Introductionmentioning

confidence: 99%

Effective thermo-electro-mechanical properties of Menger sponge-like fractal structures: a finite element study

et al. 2023

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Menger sponges are hierarchical structures with tunable mechanical and electrical properties. In this work, different orders (0th, 1st, 2nd and 3rd) of hierarchical structures were studied for their effective properties by square, circular and hexagonal-shaped cavities. The elastic modulus, Poisson’s ratio, thermal and electrical conductivities were investigated as a functions of the density. The variation of normalized parameters with normalized density for square, cylindrical, and hexagonal-shaped cavities was used to obtain the empirical relations. The normalized specific modulus and Poisson’s ratio were validated using available analytical models for all cavities. The normalized Poisson’s ratio, thermal conductivity and electrical conductivity decreased with a reduction in the effective density. The effect of a different cavity (square, cylindrical and hexagonal) on the Menger sponge's mechanical and electrical behaviour shows variation after the effective density falls below 0.8. Menger sponge with a square cavity shows the maximum decrement in thermal and electrical conductivity among other cavities with increasing order of structure. Menger sponge with hexagonal cavity consists of least reduced normalized thermal and electrical conductivity with decreasing effective density. An increment in the order of fractals leads to a near-zero value for Poisson’s ratio. These structures can be used for medical, aerospace, and industrial applications according to the properties required in different applications.

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Development of Gas Sensor Based on Fractal Substrate Structures

Abstract: How to cite:Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 7 publications

References 32 publications

Programmable and Modularized Gas Sensor Integrated by 3D Printing

Programmable and Modularized Gas Sensor Integrated by 3D Printing

Fluidization and Application of Carbon Nano Agglomerations

Effective thermo-electro-mechanical properties of Menger sponge-like fractal structures: a finite element study

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