Optimization of air permeability of spunlaced filter fabrics using the Box–Behnken experimental design

2019 ◽  
Vol 50 (5) ◽  
pp. 675-691 ◽  
Author(s):  
Lebo Maduna ◽  
Asis Patnaik ◽  
Mlando Mvubu ◽  
Lawrance Hunter

One of the most important characteristics that a filter must possess is high air permeability. A good filter fabric must be able to capture the dust particles while maintaining a good airflow through it in order to reduce high pressure drop. Therefore, producing a filter fabric with the desired air permeability can be challenging as several process parameters such as fiber types, area weight and water jet pressure will interact with each other during spunlacing process and influence the fabric air permeability. To study the effects of these independent variables on the air permeability of three different types of spunlaced fabrics, the Box–Behnken design was used to model their effects. The fibers used were polyacrylonitrile, polyphenylene sulfide and blend of polyphenylene sulfide/polyimide. In addition, filtration properties of some of the filter samples were also evaluated. Based on the effects of the fiber types, area weight and water jet pressure on the fabric air permeability, the optimum conditions for achieving higher air permeability were fiber types (+1 level), area weight (0 level) and pressure (−1 level), respectively. The air permeability of the fabrics decreased with increasing water jet pressure for all fiber types and increasing area weight decreased the air permeability. It was observed that the independent variables had a significant effect on the air permeability. Filtration efficiency of the selected filters samples were ≥95%. Among the selected samples, polyphenylene sulfide/polyimide (440 g/m2) fabric has the lowest pressure drop whereas polyacrylonitrile (560 g/m2) has the highest pressure drop.

A pure water jet at subsonic speed provides an opportunity for application in cutting soft material with the advantage of not contaminating the workpiece. Inside the nozzle, water is flowing through various cross sections, which lead to pressure drop and loss of energy. This requires a nozzle with a design that causes minimum pressure drop. In this work, Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) were used to analyse the flow through five different nozzles. For each nozzle, the pressures of 10 MPa, 20 MPa and 30 MPa were applies at the inlet. For the inlet pressure of 10 MPa, the highest outlet velocity us 136.12 m/s at the pressure of 9.261 MPa. The impact pressure at stand distance of 0.5 mm and 1.0 mm were 8.26 MPa and 8.02 MPa, respectively. For this nozzle, the Factor of Safety for 10 MPa, 20 MPa and 30 MPa were 6.4, 3.2 and 2.961, respectively. The findings are relevant to the development of pure water jet cutting machine


2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Oldrich Jirsak ◽  
Petr Sysel ◽  
Filip Sanetrnik ◽  
Jakub Hruza ◽  
Jiri Chaloupek

The polyimide precursor (polyamic acid) produced of4,4′-oxydiphthalic anhydride and4,4′-oxydianiline was electrospun using needleless electrospinning method. Nonwoven layers consisting of submicron fibers with diameters in the range about 143–470 nm on the polypropylene spunbond supporting web were produced. Filtration properties of these nanofiber layers on the highly permeable polypropylene support—namely filtration effectivity and pressure drop—were evaluated. Consequently, these polyamic acid fibers were heated to receive polyimide nanofibers. The imidization process has been studied using IR spectroscopy. Some comparisons with the chemically identical polyimide prepared as the film were made.


2014 ◽  
Vol 1073-1076 ◽  
pp. 854-859
Author(s):  
Jian Liang He ◽  
Heng Gen Shen ◽  
Jing Zhong Bi ◽  
Hong Jiang Xin

In order to improve the effect of meta-aramid on filtering fine dust particles such as PM2.5, the fineness of the fine denier meta-aramid was discretized, and new differential fiber was obtained. According to the results, this filter medium was superior to conventional 2.2 dtex samples in terms of classified filtration and caused a more significant effect on collecting fine dust particles; the initial resistance remained unchanged roughly; and the air permeability could reach 279 L/(m2•s), demonstrating that this filter medium has a great advantage in filtration efficiency as well as energy conservation and emission reduction.


2012 ◽  
Vol 82 (20) ◽  
pp. 2043-2053 ◽  
Author(s):  
Merve Küçük ◽  
Yasemin Korkmaz

In this study, the effects of physical parameters on sound absorption properties of nonwoven fabrics were investigated. Eight different nonwoven composites including different fiber types mixed with different ratios were tested. Along with sound absorption properties, thickness, weight per area, and air permeability parameters of the samples were measured. The increase in thickness and the decrease in air permeability results in an increase in sound absorption properties of the material. The samples including 70% cotton and 30% polyester resulted in the best sound absorption coefficient in the mid-to-high frequency ranges. The increase in the amount of fiber per unit area resulted in an increase in sound absorption of the material. Addition of acrylic and polypropylene into a cotton and polyester fiber mixture increased the sound absorption properties of the composite in the low and mid-frequency ranges also.


2020 ◽  
pp. 152808372092377
Author(s):  
Bilal Zaarour ◽  
Hussen Tina ◽  
Lei Zhu ◽  
XiangYu Jin

Engineering the surface morphology of fibers has been attracting significant consideration in various areas and applications. In this study, polyvinylidene fluoride (PVDF) branched nanofibers with a diameter of less than 50 nm are electrospun directly at a low relative humidity by adding tetrabutylammonium chloride. The effects of the branched structure on the specific surface area and pore size distribution are investigated, and the filtration properties of the air filter based on branched nanofiber webs with different basis weights are studied. The results exhibit that the air filter based on PVDF branched nanofibers with the basis weight of 1 g/m2 has an outstanding filtration efficiency (99.999%) to 0.26 µm sodium chloride particles under the pressure drop of 126.17 Pa. We believe that this study can be used as a useful reference for the preparation of branched nanofibers through one-step electrospinning.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Si Cheng ◽  
Alam S. M. Muhaiminul ◽  
Zhonghua Yue ◽  
Yan Wang ◽  
Yuanxiang Xiao ◽  
...  

AbstractBy applying the simultaneous corona-temperature treatment, the effect of electret temperature on the structure and filtration properties of melt-blown nonwovens was investigated. Fiber diameter, pore size, thickness, areal weight, porosity, crystallinity, filtration efficiency, and pressure drop were evaluated. The results demonstrated that some changes occurred in the structure of electret fabrics after treatment under different temperatures. In the range of 20°C~105°C, the filtration efficiency of melt-blown nonwovens has a relationship with the change in crystallinity, and the pressure drop increased because of the change in areal weight and porosity. This work may provide a reference for further improving filtration efficiency of melt-blown nonwovens.


2013 ◽  
Vol 790 ◽  
pp. 471-474 ◽  
Author(s):  
Wei Lai Chen ◽  
Wei Dong Sui ◽  
Hui Fang Li ◽  
Lin Yan Wan

Testing the volume of air through Basalt woven filter fabric during a certain time, the relationship between air permeability and parameters of the fabric structure was analyzed. The results showed that the greater the yarn linear density, the smaller the air permeability of fabric. The air percolation rate of filter fabric decreased along with the weft density increasing. Comparing 2/2 twill fabric with weft backed weave, the air permeability of plain weave was minimum, 2/2 twill fabric was the second, weft-backed weave was the largest.


2017 ◽  
Vol 88 (14) ◽  
pp. 1650-1659 ◽  
Author(s):  
Guocheng Zhu ◽  
Yuan Fang ◽  
Lianying Zhao ◽  
Jinfeng Wang ◽  
Weilai Chen

Air permeability is a very important property influencing the performance of clothing comfort and technical textiles particularly in applications for protective products, including airbags, parachutes, and tents. Several analytical models for predicting air permeability have been made by considering porosity and pore diameter or porous area. However, the connection between fabric structure and air permeability with analytical models has not been well reported as yet. In this work, the diameter of cotton yarn was predicted by considering yarn count, twist, and packing density. Subsequently, the pore area and equivalent pore diameter of fabric were predicted after finding the warp and the weft densities of fabric. The predicted values had very good agreement with the experimental results in yarn diameter and other structural parameters of fabric. The air permeability of fabrics was measured and several well-known analytical models for predicting air permeability were compared. The results revealed that the Hagen–Poiseuille equation had much better prediction than other models and also had good agreement with the experimental results, especially when it was applied for tight fabrics at low pressure drop (≤60 Pa). The Hagen–Poiseuille equation could be improved by considering the Reynolds number, interfiber interstices, and the deformation of pores under higher pressure drop.


1988 ◽  
Vol 58 (5) ◽  
pp. 280-286 ◽  
Author(s):  
G. J. I. Igwe

The results of experiments using needle-bonded polypropylene fibers as filter fabrics show that the air permeability of the filter fabrics depends on the type and size of needles used for fabric construction. For dust filtration, the internal structure of the filter fabrics has an effect on the resultant collection capacity based on the air permeability. A new gas and dust filtration apparatus was designed for the investigation, and the results obtained are reproducible. A regression analysis produced high correlations between pressure drop and air flow rates, which are statistically valid at a significance level of 0.1%.


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