Fabrication of Graded Porous Structure with Pore Size Distribution by SPS Process

Author(s):  
Myung Jin Suk ◽  
Won Sik Seo ◽  
Young Soon Kwon
Langmuir ◽  
1991 ◽  
Vol 7 (4) ◽  
pp. 779-785 ◽  
Author(s):  
Giorgio. Zgrablich ◽  
S. Mendioroz ◽  
L. Daza ◽  
J. Pajares ◽  
V. Mayagoitia ◽  
...  

2016 ◽  
Author(s):  
Maxim A. Mashkovtsev ◽  
Maxim S. Botalov ◽  
Denis V. Smyshlyaev ◽  
Renata E. Kasimova ◽  
Polina A. Bereskina ◽  
...  

Soil Research ◽  
1971 ◽  
Vol 9 (1) ◽  
pp. 21 ◽  
Author(s):  
LAG Aylmore ◽  
M Karim ◽  
JP Quirk

The effect of variations in physical form such as particle size and mixing with other materials, on the rate of dissolution of sulphate and phosphate from solid fertilizers, has been investigated. It is apparent from these results that the degree of subdivision of a solid fertilizer is particularly important in determining its susceptibility to leaching. It has been demonstrated that leaching of sulphate is appreciably restricted when the granule size is 2 mm or greater in diameter. Except when leached immediately after application, the retention of phosphate is determined largely by 'reversion' to the relatively insoluble dicalcium phosphate form. combination of sulphate with phosphate in superphosphate or the addition of various additives to gypsum markedly reduces the rate of sulphate leaching in comparison to pure gypsum. A comparison of pore size distribution suggests that pores within the intermediate range from approximately 500 A to 105 A play a significant part in the dissolution process.


2007 ◽  
Vol 534-536 ◽  
pp. 965-968 ◽  
Author(s):  
Myung Jin Suk ◽  
Won Sik Seo ◽  
Young Soon Kwon

Feasibility of producing porous gradient structure by spark plasma sintering (SPS) process was examined. Adequate combination of porosity gradient and pore size distribution could be obtained by appropriately controlling the SPS parameter such as sintering temperature, sintering time, applied pressure, and stopper length. For the longitudinal porous gradient structure, pure W sample was prepared by specially shaped graphite mold. Stainless steel powder was employed for the radially layered porous structure with different pore size. The graded porous structure could be applied for the fabrication of W-Cu FGM by Cu-infiltration and high temperature filter with high filtration efficiency.


2010 ◽  
Vol 24 (6) ◽  
pp. 3378-3384 ◽  
Author(s):  
M. J. Bleda-Martínez ◽  
D. Lozano-Castelló ◽  
D. Cazorla-Amorós ◽  
E. Morallón

2017 ◽  
Vol 2 (1) ◽  
pp. 72
Author(s):  
O.V. Kokorev ◽  
V.N. Khodorenko ◽  
S.G. Anikeev ◽  
G.Ts. Dambaev ◽  
V.E. Gunther

Developing of standard population of cells — line fibroblasts 3T3 in porous structure of incubator having fixed composition, porousness and pore size distribution has been studied. The volume of scaffold space was shown to determine the potential cell division and its function. The characteristic integration of fibroblasts in porous incubators from TiNi-based alloy having different volumes was analyzed. The relation of colonization by cells and growth of tissues in porous samples from titanium nickel depending on depth of penetration is determined.


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.


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