scholarly journals Preparation of different scale firous membranes and their filtration properties

2021 ◽  
pp. 46-46
Author(s):  
Xiao-Xuan Mo ◽  
Yin Ni ◽  
Fu-Juan Liu
Keyword(s):  
Composite Membrane ◽  
Breaking Strength ◽  
Processing Parameters ◽  
High Porosity ◽  
Composite Method ◽  
Breaking Elongation ◽  
Filter Materials ◽  
New Ideas ◽  
Good Filtration ◽  
Filtration Properties

In this work, the PAN monolayer/composite nanofibrous membranes were successfully fabricated at different processing parameters. As expected, compared with monolayer membranes, the composite membrane revealed high breaking strength, high breaking elongation, high porosity and good filtration performance. The composite method used in this article also provides new ideas for designing filter materials.

About the Static Mechanical Properties of Epoxy/Hemp Composites

2020 ◽  
Vol 896 ◽  
pp. 321-326
Author(s):  
Cosmin Mihai Miriţoiu ◽  
Nicolae Craciunoiu ◽  
Alexandru Bolcu ◽  
Ionuţ Daniel Geonea ◽  
Ionica Valeriu ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Standard Deviation ◽  
Tensile Test ◽  
Yield Stress ◽  
Mechanical Characteristics ◽  
Breaking Strength ◽  
Young Modulus ◽  
Breaking Elongation ◽  
Static Mechanical ◽  
Static Mechanical Properties

In this paper, static mechanical characteristics for some epoxy/hemp composites are studied. By using the tensile test, the static mechanical characteristics are determined, such as: breaking strength, yield stress, Young modulus and breaking elongation. There is also determined the standard deviation. Then, by using some known theories, there is validated the static Young modulus.

Simulating the Filtration Properties of Nonwoven Fabrics: Comparison of Artificial Neural Network, Statistical and Grey Models

2010 ◽  
Vol 20-23 ◽  
pp. 1021-1027 ◽  
Author(s):  
Ting Chen ◽  
Shang Zhen Zhao ◽  
Li Li Wu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Processing Parameters ◽  
Computer Assisted ◽  
Ann Model ◽  
Nonwoven Fabrics ◽  
Grey Models ◽  
Artificial Neural ◽  
Few Data ◽  
Filtration Properties

The artificial neural network, statistical and grey models are established for predicting the filtration properties of melt blown nonwoven fabrics from the processing parameters. The results show that the ANN model yields very accurate predictions and a reasonably good ANN model can be achieved with relatively few data points. The statistical model gives satisfactory prediction results for most cases, and the grey model needs to be improved for precise predictions. The results show great perspective of this research in the field of computer assisted design of melt blowing nonwoven technology.

Effect of Temperature and Humidity on Mechanical Properties of Rabbit Hair Fibers

2012 ◽  
Vol 573-574 ◽  
pp. 1230-1234
Author(s):  
Qian Yang
Keyword(s):  
Mechanical Properties ◽  
Tensile Strain ◽  
Breaking Strength ◽  
Great Influence ◽  
Effect Of Temperature ◽  
Breaking Force ◽  
Breaking Elongation ◽  
Different Temperatures ◽  
Hair Fiber ◽  
Fiber Processing

In this paper, it tests the mechanical properties of rabbit hair fibers in different temperatures and humidity. Contrast and analysis by experiment showed the temperature exerts a great influence on the tensile strain, breaking elongation, breaking force and breaking strength. In wetting condition, the tensile strain and breaking elongation increase, but the breaking force and breaking strength decrease. The rabbit hair fiber processing with too much water will make the structure easier to break and destroy.

Nanofiber mats electrospun from composite proton exchange membranes prepared from poly(aryl ether sulfone)s with pendant sulfonated aliphatic side chains

RSC Advances ◽  
2014 ◽  
Vol 4 (48) ◽  
pp. 25195-25200 ◽  
Author(s):  
Limei Wang ◽  
Jianhua Zhu ◽  
Jifu Zheng ◽  
Suobo Zhang ◽  
Liyan dou
Keyword(s):  
Pore Structure ◽  
Composite Membrane ◽  
Proton Exchange Membranes ◽  
Proton Exchange ◽  
Side Chains ◽  
High Porosity ◽  
Aryl Ether ◽  
Electrospun Nanofiber ◽  
Nanofiber Mats

The electrospun nanofiber mats revealed high porosity and an interconnected open pore structure. The nanofibers are clearly visible and uniform throughout the composite membrane, which was completely pore-filled.

Structure and Properties of Double-Filament Tri-Component Combined Yarn

2014 ◽  
Vol 1035 ◽  
pp. 101-105
Author(s):  
Yi Qiang Gao
Keyword(s):  
Abrasion Resistance ◽  
Manufacturing Process ◽  
Breaking Strength ◽  
Structure And Properties ◽  
Breaking Elongation ◽  
Yarn Properties ◽  
Yarn Structure ◽  
Yarn Hairiness

Manufacturing process of combined yarn with different filament size and cotton roving has been discussed. It shows that filament feeding point has some effect on combined yarn structure and yarn properties. If the filaments are fed from different sides of the cotton strand, they usually wrap the strand in parallel. If the filaments are fed from the same side of the strand, they wrap the strand crossed more often. Filament feeding point has an effect on yarn hairiness while it affects yarn breaking strength, yarn breaking elongation and abrasion resistance slightly. Yarn property weight is determined by subjective empowerment and Borda method is used to analyze yarn property. It has proved that if the filaments are fed from different sides of the cotton strand, the filament-roving space is set at 4mm respectively; the combined yarn shows the best.

Neural Model of the Producing Process for Predicting Filtration Properties of Melt Blowing Nonwovens

2012 ◽  
Vol 577 ◽  
pp. 47-50
Author(s):  
Bo Zhao
Keyword(s):  
Pore Structure ◽  
Neural Model ◽  
Processing Parameters ◽  
Physical Models ◽  
Modeling Technique ◽  
Ann Model ◽  
Melt Blowing ◽  
Filtration Properties ◽  
The Relationship

The filtration properties of melt blowing nonwovens are affected by the pore structure of nonwovens which is strongly related to the processing parameters. However, it is difficult to establish physical models on the relationship between the processing parameters and filtration properties. In this work, the ANN model is established for predicting the filtration properties of melt blowing nonwovens from the processing parameters. The results reveal that the ANN method is really an effective and viable modeling technique. This method can exactly predict the filtration properties because the results are good enough

Mesoporous titania-embedded polyacrylonitrile composite nanofibrous membrane for particulate matter filtration

2019 ◽  
pp. 089270571985992
Author(s):  
P Reena ◽  
N Gobi ◽  
P Chitralekha ◽  
D Thenmuhil ◽  
V Kamaraj
Keyword(s):  
Particulate Matter ◽  
Composite Membrane ◽  
Weight Ratio ◽  
Composite Membranes ◽  
Areal Density ◽  
Mesoporous Titania ◽  
High Porosity ◽  
Homogenous Distribution

In the present work, mesoporous titania (MT)-embedded polyacrylonitrile (PAN) nanofibrous membranes have been developed and studied for their efficiency in particulate matter (PM) filtration. Using Box–Behnken method, 15 nanofibrous composite membranes were obtained through electrospinning by choosing three different process variables, such as MT (weight ratio), areal density (g m−2), and spinning time (h). The characterization of resulted nanofibrous composite membranes revealed that the homogenous distribution of MT (2.9 nm) within the PAN delivers high porosity as well as air permeability. Further, filtration efficiency (FE) was also analyzed for PM from 0.3 µm to 3 µm. PM filtration studies suggested that the nanofibrous composite membrane developed from 15% MT, spin time of 2 h, and areal density of 80 g m−2 possesses overall efficiency of 96.4%, without pressure drop for the composite. The results suggest that the role of MT was found to be significant in achieving successful filtration of PM. In addition to successful FE, the desirability value of the developed composite was also calculated statistically and the optimized composite membrane was identified.

PEI-SiO2 composite membranes with high thermal stability: Synthesis by self-assembled in situ growth and application in lithium-ion batteries

2020 ◽  
pp. 095400832096455
Author(s):  
Wei Song ◽  
Weiwei Cui ◽  
Xu Wang ◽  
Zeyu Lin ◽  
Wei Deng ◽  
...  
Keyword(s):  
Thermal Stability ◽  
Lithium Ion Batteries ◽  
Composite Membrane ◽  
Retention Rate ◽  
Lithium Ion ◽  
Composite Membranes ◽  
High Porosity ◽  
Electrolyte Uptake ◽  
Electrochemical Window

To improve the safety of lithium-ion batteries (LIBs), a polyether amide–silica (PEI-SiO2) composite membrane was developed by the in situ hydrolysis of tetraethylorthosilicate (TEOS) and its subsequent self-assembly on the surface of PEI fibers. Because of the presence of the SiO2 shell, the PEI-SiO2 composite membrane exhibited good thermal stability at high temperatures. The composite membrane did not change its color and size after heating at 200°C for 1 h as well as exhibited excellent flame retardancy. Moreover, the membrane maintained its high porosity even after the introduction of shell layers. The electrolyte is completely absorbed in the membrane within 0.5 s. The electrolyte uptake was up to 625%, and the ionic conductivity was up to 1.9 mS/cm at room temperature. Compared to the polyolefin membrane and the pure PEI membrane, the PEI-SiO2 composite membrane showed higher electrochemical stability, with an electrochemical window of up to 5.5 V. The battery assembled with the composite membrane showed excellent cycle stability, and the capacity retention rate was as high as 98.6% after 50 cycles. The LIBs based on the PEI-SiO2 composite membrane exhibited safe operation and high electrochemical performance, thus highlighting the applicability of the composite membrane in high-power batteries.

Elastic melt-blown nonwoven fabrication of styrene‐ethylene/butylene‐styrene copolymer and polypropylene blends: a study of morphology and properties

2021 ◽  
pp. 004051752110663
Author(s):  
Li Chang ◽  
Chuanfen Wu ◽  
Pengfei Lan ◽  
Bing Bai ◽  
Liang Jiang ◽  
...  
Keyword(s):  
Thermal Properties ◽  
Porous Structure ◽  
Melt Blowing ◽  
Styrene Copolymer ◽  
Fine Fiber ◽  
Good Filtration ◽  
Increasing Demand ◽  
Polypropylene Blends ◽  
Filtration Properties ◽  
Melt Blown Nonwoven

Fabrics produced by the melt-blown nonwoven process have the advantage over competing materials of possessing an ultrafine fibrous and porous structure. However, their brittleness and poor toughness restrict their wider application. There is increasing demand for nonwovens that have high stretchability and elasticity while maintaining a melt-blown structure. In this study, polypropylene (PP) and styrene‐ethylene/butylene‐styrene copolymer (SEBS) were blended at different ratios and subsequently used in the melt-blowing process. The morphology of the blends displayed a co-continuous structure when the ratio of SEBS to PP in blends was similar. Furthermore, it was found that all the blends had good spinnability from the melt-blowing process during rheological and thermal properties tests. All the elastic melt-blown nonwovens fabricated in this research had elongations higher than 400% and elastic recoveries higher than 50%, which was indicative of good elasticity. Meanwhile, the nonwovens maintained fine fiber diameters and good filtration properties, in keeping with traditional melt-blown nonwovens.

Effect of Thermal Finishing on the Mechanical Properties of Hollow Polyester Fiber

2014 ◽  
Vol 881-883 ◽  
pp. 889-892
Author(s):  
Wei Ming Wang ◽  
Bo Yu ◽  
Yun Feng
Keyword(s):  
Mechanical Properties ◽  
Tensile Stress ◽  
Breaking Strength ◽  
Orthogonal Experiment ◽  
Effect Factor ◽  
Breaking Elongation ◽  
Fiber Wall ◽  
Finishing Process ◽  
Setting Parameters ◽  
Experiment Analysis

The effect of thermal setting parameters namely tensile stress, temperature and time on the breaking strength and breaking elongation of hollow polyester (PET) fiber (PorelTM fiber) were investigated, and their synergistic effect was studied via orthogonal experiment. The results show that protection of fiber wall is an important task during thermal finishing process of hollow fiber. There are direct relationships between micro-molecular structure and mechanical properties. Orthogonal experiment analysis shows that the most significant effect factor for breaking strength and breaking elongation are temperature and tensile stress, respectively. The suggested thermal finishing conditions for PorelTM fiber are summarized as following: elongation (viz. tensile stress) 4%, temperature 165°C, and time 60s.

Sign in / Sign up

Export Citation Format

Share Document