Preparation and Characterization of Composite Membrane Chitosan-Silica-Polyethylene Glycol

2018 ◽  
Vol 382 ◽  
pp. 3-6
Author(s):  
F. Widhi Mahatmanti ◽  
Nuryono ◽  
Dwi Siswanta
Keyword(s):  
Polyethylene Glycol ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Young’S Modulus ◽  
Functional Groups ◽  
Composite Membrane ◽  
Young's Modulus ◽  
Percent Elongation ◽  
Physical And Chemical

Chitosan membrane (Ch) has mechanical stability, physical, and chemical low thus limiting their application to a variety of purposes. Therefore in this study examined the effect of adding silica and polyethylene glycol (PEG) on the mechanical properties, physical, and chemical chitosan-based membranes. A source of silica used is tetraethyl orthosilicate (TEOS). Composite membrane Chitosan-silica-PEG (Ch/Si/P) was prepared using the sol-gel process and characterized morphology, crystallinity, and changes in functional groups. In general, the addition of silica in the preparation of composite membrane Ch/Si, increases tensile strength, Young's Modulus, pore size distribution, as well as lower percent Elongation but does not affect the crystallinity and the change of functional groups on the membrane. The addition of PEG on manufacture composite membrane Ch/Si/P, increases the percent Elongation, Young's Modulus decrease and decreased pore size distribution, but does not affect the crystallinity, as well as to changes in the functional groups on the membrane. The results showed that membrane with a mass ratio of chitosan/silica/PEG of 1:0.7:0.5 have a maximum percent Elongation and the minimum Young's Modulus.

Influence of Hipping Pressure on the Strength and the Porosity of Porous Copper

1991 ◽  
Vol 251 ◽  
Author(s):  
Atsushi Takata ◽  
K. Ishizaki ◽  
Y. Kondo ◽  
T. Shioura
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Young’S Modulus ◽  
Open Porosity ◽  
Structural Parameters ◽  
High Strength ◽  
Porous Copper ◽  
Different Temperatures ◽  
Hip Process

ABSTRACTOpen porous copper metals, which have high strength, high open porosity and well controlled pore size distribution, were produced by a hot isostatic press (HIP) process. They were sintered at different temperatures from 973 to 1273K under various HIPping pressures up to 200MPa. Pore size distribution and Young's modulus of the sintered samples were analyzed. The HIPped products have greater strength and higher open porosity than those of the normally sintered ones. The internal structural parameters such as pore size distribution were controlled by changing the HIPping pressure.

scholarly journals Shape-Stabilized Phase Change Materials for Solar Energy Storage: MgO and Mg(OH)2 Mixed with Polyethylene Glycol

Nanomaterials ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 1773 ◽  
Author(s):  
Md. Hasan Zahir ◽  
Mohammad Mizanur Rahman ◽  
Kashif Irshad ◽  
Mohammad Mominur Rahman
Keyword(s):  
Polyethylene Glycol ◽  
Energy Storage ◽  
Phase Change ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Latent Heat ◽  
Phase Change Materials ◽  
Impregnation Method ◽  
Peg 6000

Heat energy storage systems were fabricated with the impregnation method using MgO and Mg(OH)2 as supporting materials and polyethylene glycol (PEG-6000) as the functional phase. MgO and Mg(OH)2 were synthesized from the salt Mg(NO3)·6H2O by performing hydrothermal reactions with various precipitating agents. The precipitating agents were NaOH, KOH, NH3, NH3 with pamoic acid (PA), or (NH4)2CO3. The result shows that the selection of the precipitating agent has a significant impact on the crystallite structure, size, and shape of the final products. Of the precipitating agents tested, only NaOH and NH3 with PA produce single-phase Mg(OH)2 as the as-synthesized product. Pore size distribution analyses revealed that the surfaces of the as-synthesized MgO have a slit-like pore structure with a broad-type pore size distribution, whereas the as-synthesized Mg(OH)2 has a mesoporous structure with a narrow pore size distribution. This structure enhances the latent heat of the phase change material (PCM) as well as super cooling mitigation. The PEG/Mg(OH)2 PCM also exhibits reproducible behavior over a large number of thermal cycles. Both MgO and Mg(OH)2 matrices prevent the leakage of liquid PEG during the phase transition in phase change materials (PCMs). However, MgO/PEG has a low impregnation ratio and efficiency, with a low thermal storage capability. This is due to the large pore diameter, which does not allow MgO to retain a larger amount of PEG. The latent heat values of PEG-1000/PEG-6000 blends with MgO and Mg(OH)2 were also determined with a view to extending the application of the PCMs to energy storage over wider temperature ranges.

Influence of Pozzolanic Additive on Pore Size Distribution of Lime Mortar

2017 ◽  
Vol 908 ◽  
pp. 51-55 ◽  
Author(s):  
Monika Čáchová ◽  
Magdaléna Doleželová ◽  
Martin Keppert
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Liquid Water ◽  
Total Porosity ◽  
Favorable Effect ◽  
Diffusion Resistance ◽  
Binding System ◽  
Pozzolanic Additives ◽  
Physical And Chemical

Pozzolanic additives are widely applied as components of cementitious composites as well as mortars based on white lime. They are generally recognized as components improving the durability of resulting material – concrete or mortar. The mechanism responsible for this favorable effect lies in physical and chemical modification of initial binding system. The present paper deals with influence of a pozzolanic additive – ceramic dust (CD) – on pore system of lime – based mortar. The CD was characterized by means of elementary and phase analysis. The range of mortars of varying CD/lime ratio was prepared; their pore size distribution, strength and rate of liquid water and water vapor were determined. The presence of CD caused change in the pore size distribution while the total porosity did not changed significantly. The volume of large pores was reduced and amount of fine pores was increased as consequence of growing CD content. It had positive effect on rate of liquid water transport. Diffusion resistance factor was influenced by the presence of CD towards the lower values; in opposite to the liquid sorptivity the diffusion resistance was controlled by the total porosity. The strength was improved by addition of pozzolanic additive as could be expected. It is in accordance with the reduced volume of capillary pores but obviously the presence of pozzolanic additive in lime converts the binding system to hydraulic and thus the effect of CD on strength cannot be explained just by its influence on pore size distribution.

pyGAPS: A Python-Based Framework for Adsorption Isotherm Processing and Material Characterisation

2019 ◽  
Author(s):  
Paul Iacomi ◽  
Philip L. Llewellyn
Keyword(s):  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Surface Area ◽  
Isosteric Heat ◽  
Material Characterisation ◽  
Mixture Adsorption ◽  
Surface Energetics ◽  
Adsorption Processing ◽  
User Friendly

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.

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