Filtration of Sub-3.3 nm Tungsten Oxide Particles Using Nanofibrous Filters

Givehchi, Raheleh; Tan, Zhongchao

doi:10.3390/ma11081277

Cited by 5 publications

(6 citation statements)

References 68 publications

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“…Figures 8 and 9 show SEM images from sample C and D filter material with nanofibre layer, and Figure 10 shows SEM images of filter material A (cellulose). Similar SEM images showing nanofibres layer on a standard filter bed can be found in [58,59].…”

Section: Methodology Materialssupporting

confidence: 68%

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Material Properties Analysis with Addition of Nanofibres for Air Intake Filtration in Internal Combustion Engines

Dziubak¹

2021

IJAME

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The aim of this study is to provide an experimental properties evaluation of a standard filter material (cellulose) and materials with fiber layer addition with small diameters (nanofibers). Filter media, including cellulose, used in the internal combustion engine inlet air filtration are made of high diameter fibres, approx. 15 µm. Significantly higher separation and filtration efficiency performance are obtained for materials with lower fibre diameters (nanofibres), however, at the expense of a significantly higher pressure drop, affecting the engine performance. Filter media manufacturers mainly specify the structure parameters (pore size, air permeability and thickness), without giving any information on the dust filtration performance and rate. The literature includes test results for models of different filter media structures. Filtration process modelling using polydisperse dust with particles of different shape and density and irregular filter media structure is possible using advanced computer techniques, however, the process is complex and requires many simplifications. Test results can be applied directly in the automotive industry. The data can be obtained by experimental tests on filter medium specimens, complete filter elements or air filters which are costly and time-consuming tests, however, those test methods are the most reliable. Conditions and testing methodology for intake air filter materials used in internal combustion engines were developed. Filtration and flow resistance efficiency and accuracy were done depending on test dust mass stopped per unit area. Tested materials filtration efficiency was assessed by a filtration quality factor, which includes experimentally determined efficiency and accuracy as well as flow resistance values. Much higher efficiency and filtration accuracy of dust grains below 5 µm in filtration materials with nanofibers addition compared to standard filtration material (filter paper) were demonstrated. For the same flow resistance values, filter materials with nanofibers addition accumulate smaller dust mass than standard filter paper. Usage of materials with nanofibers addition used in motor vehicles intake air filtration ensures their high efficiency and accuracy. It minimises its components wear, but at the expense of faster flow resistance increase, which shortens filter life and increases filter replacement frequency. Results obtained during the experimental research partly fill the gap when it comes to the basic material properties used in internal combustion engines intake air filter partitions production.

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Section: Methodology Materialssupporting

confidence: 68%

“…The method of electrospinning is a widely used method of producing nanofibres [47][48][49][50][51]. It is a process of obtaining fibres from molten polymers or their solutions using high voltage.…”

Section: Properties Of Nano Fibre Filtration Materialsmentioning

confidence: 99%

Material Properties Analysis with Addition of Nanofibres for Air Intake Filtration in Internal Combustion Engines

Dziubak¹

2021

IJAME

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“…Givehchi and Tan [12] reviewed the thermal rebound literature (over 20 investigators had failed to detect the phenomena) and advanced a new theory identifying relative humidity as an unrecognized factor in explaining some cases with positive experimental results. In a recent paper, Givehchi et al [13] found evidence of thermal rebound of particles smaller than 1.17 nm at low relative humidity from thin electrospun polymer fiber filters. Therefore, it is possible that thermal rebound may exist in the filtration systems under the environmentally controlled conditions found in cleanrooms.…”

Section: Background Of Nanoscale Particle Measurementmentioning

confidence: 99%

Monitoring of Nanoscale Particles in Cleanrooms: ISO 14644-12

Heathman¹,

Ensor²

2019

Journal of the IEST

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“…Existing image processing platforms for nanofibre characterization can be divided into commercial software and open-source platforms. MATLAB is the most widely used commercial software, which has been used by many researchers such as Ho Shin's group, [28] Tan's group, [32][33][34][35][36][37] MIA, [27] and SIMpoly. [29] The most used open-source software is ImageJ [38] and its plug-in DiameterJ.…”

Section: Introductionmentioning

confidence: 99%

Automated nanofibre sizing by multi‐image processing and deep learning with revised UNet model

Yu,

Gao,

Tan

2023

Can J Chem Eng

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Nanofibres have been widely used in many chemical engineering applications and their performance greatly depends on the size distribution of the nanofibres. Researchers have developed automated tools to determine nanofibre diameters, primarily using commercial MATLAB software package. However, no researchers have reported automatic processing of multiple images, which is essential to the consistency and accuracy of results. Nor has anyone reported nanofibre sizing using deep learning. Therefore, this paper reports an automated tool to measure the size distribution of electrospun nanofibres by simultaneous multi‐image processing. This tool determines the diameters of nanofibres using deep learning based on UNet model. Results show that the UNet‐based deep learning approach is more accurate than those obtained using existing methods, compared to experimental data.

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Filtration of Sub-3.3 nm Tungsten Oxide Particles Using Nanofibrous Filters

Cited by 5 publications

References 68 publications

Material Properties Analysis with Addition of Nanofibres for Air Intake Filtration in Internal Combustion Engines

Material Properties Analysis with Addition of Nanofibres for Air Intake Filtration in Internal Combustion Engines

Monitoring of Nanoscale Particles in Cleanrooms: ISO 14644-12

Automated nanofibre sizing by multi‐image processing and deep learning with revised UNet model

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