The Comparison and Analysis of Pore Size Distribution between Cotton Yarn and Fabric

2011 ◽  
Vol 339 ◽  
pp. 676-679
Author(s):  
Jian Feng Di ◽  
Xiao Xia He ◽  
Wen Qin Du ◽  
Hong Jin Qi

To obtain more detailed and accurate pore size distribution for cotton fabric, this paper focuses on comparing size distribution between the yarn and fabric. The result shows that there are great difference as well as relationship in size distribution between the yarn and fabric. The size in fabric has 2 orders of magnitude including that in yarn with just 1 order of magnitude. The pore size ratio data also illustrate that the pore in yarn account for 33.3% of that in fabric, suggesting that the pore in yarn has a certain impact on the wicking behavior of fabric. However, the graphic exhibit that the size distribution shape in yarn is different from that in fabric, which may be owing to the fabric weaving configuration, implying that wicking liquid movement is affected not just by capillary effect along the yarn but also by interlacing points and fluid-wall interaction in the complex channels of fabric.

The durability of concrete is generally evaluated by many NDT technique, among the different NDT technique RCPT is one of the popular NDT method used by many researchers & practicing Engineers for evaluation of concrete durability. However the RCPT technique has some limitation on field test of concrete, considering the limitation of the RCPT technique a new technique has been intr oduced called Electrical resistivity technique is used for evaluation of concrete durability in both field & lab test. Durability of concrete is mainly depends on the properties of concrete microstructure i.e. pore size distribution, shape & connectivity of the microstructural pores in concrete. In general smaller pore size, with lesser connectivity results lower permeability & shows more durability, while concrete with porous microstructure having larger pore size distribution along with larger degree of interconnections results in higher permeability and shows poor durability. In this paper an experimental studies were conducted for evaluation of concrete durability on different types of concrete samples by using electrical resistivity & RCPT technique. From the experimental results it has been observed that concrete with lower level of Chloride permeability shows higher Electrical resistivity. Thus Electrical resistivity of concrete is directly influencing the durability of concrete.


2010 ◽  
Vol 146-147 ◽  
pp. 1458-1462
Author(s):  
Wen Qin Du ◽  
Xiao Liang liu ◽  
Hong Jin Qi

To investigate the contribution of yarn pore size distribution to fabric pores structure, in this paper, based on the balance relationship between the capillary height and the hydrostatic pressure of the liquid in the yarn, we designed and assembled a device for measurement of μm scale pore size distribution of the cotton yarn. Through comparison and analysis of data and considering the very low water content in the yarn, we increased the number of yarn, designed a special cutting device and improved the measurement accuracy of weight. Finaly, we obtained histograms and curves with highly accurate (0.0001g) and good reproducibility. The results show that the yarn pore size is in tens-hundreds μm and displays a concave-like distribution, while the fabric pore size change is much more complex, suggesting that the pore in the fabric is not a simple summation of the pore in the yarn.


2019 ◽  
Author(s):  
Paul Iacomi ◽  
Philip L. Llewellyn

Material characterisation through adsorption is a widely-used laboratory technique. The isotherms obtained through volumetric or gravimetric experiments impart insight through their features but can also be analysed to determine material characteristics such as specific surface area, pore size distribution, surface energetics, or used for predicting mixture adsorption. The pyGAPS (python General Adsorption Processing Suite) framework was developed to address the need for high-throughput processing of such adsorption data, independent of the origin, while also being capable of presenting individual results in a user-friendly manner. It contains many common characterisation methods such as: BET and Langmuir surface area, t and α plots, pore size distribution calculations (BJH, Dollimore-Heal, Horvath-Kawazoe, DFT/NLDFT kernel fitting), isosteric heat calculations, IAST calculations, isotherm modelling and more, as well as the ability to import and store data from Excel, CSV, JSON and sqlite databases. In this work, a description of the capabilities of pyGAPS is presented. The code is then be used in two case studies: a routine characterisation of a UiO-66(Zr) sample and in the processing of an adsorption dataset of a commercial carbon (Takeda 5A) for applications in gas separation.


Sign in / Sign up

Export Citation Format

Share Document