Investigation of sintering in electroceramics by thermodilatometry

Solid-state sintering was investigated in electroceramic samples using thermodilatometric measurements. The samples were studied in the isothermal regime at the temperatures 500, 600, 700, 800, 900, 1000 and 1050?C. The relative expansion was measured for a period of 8 h. At a given temperature a dominant diffusion mechanism for the sintering process was determined, and the corresponding porosity together with the pore size distribution was also measured.

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Design and fabrication of whisker hybrid ceramic membranes with narrow pore size distribution and high permeability via co-sintering process

Ceramics International ◽

10.1016/j.ceramint.2018.08.161 ◽

2018 ◽

Vol 44 (17) ◽

pp. 21159-21169 ◽

Cited By ~ 10

Author(s):

Dong Zou ◽

Xuebin Ke ◽

Minghui Qiu ◽

Xianfu Chen ◽

Yiqun Fan

Keyword(s):

Pore Size Distribution ◽

Pore Size ◽

Size Distribution ◽

Ceramic Membranes ◽

Sintering Process ◽

High Permeability ◽

Narrow Pore Size Distribution ◽

Hybrid Ceramic

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Microstructural Study on the Low Density SiO2 Soot Body

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.726.383 ◽

2017 ◽

Vol 726 ◽

pp. 383-387

Author(s):

Lan Jian Nie ◽

Ya Nan Jia ◽

Lei Wang ◽

Zai Kui Xiang ◽

Fei Xiang Liu ◽

...

Keyword(s):

Pore Structure ◽

Pore Size Distribution ◽

Pore Size ◽

Size Distribution ◽

Particle Diameter ◽

Nitrogen Adsorption ◽

Diameter Distribution ◽

Low Density ◽

Sintering Process ◽

Adsorption Method

Low density SiO2 soot body, with a certain strength and porosity, is an intermediate of silica glass prepared by the indirect synthetic method. The microstructures of SiO2 soot body have an important influence on the post-sintering process, such as micro-morphologies, pore structures and so on. These microstructures, including micro-morphologies, phase structure, hydroxyl structure, pore structure, pore size distribution and specific surface area, were studied by ESEM, XRD, FTIR, mercury intrusion method and nitrogen adsorption method. Experimental results indicate that, the low density SiO2 soot body is composed of amorphous nano-SiO2 particles with a particle diameter distribution of 100nm ~ 150nm. The pore structure of SiO2 soot body tends to be irregular and the pore shape contains cross-linked holes, through-holes and blind holes. The pore size distribution is wide and involves macropore, mesopore and micropore.

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Determination of Pore Size Distribution of Nafion/Sulfated β-Cyclodextrin Composite Membranes as Studied by 1H Solid-State NMR Cryoporometry

2007 Cleantech Conference and Trade Show Cleantech 2007 ◽

10.1201/9780429187469-53 ◽

2019 ◽

pp. 203-206

Author(s):

J.-D. Jeon ◽

B. H. Lee ◽

S.-Y. Kwak

Keyword(s):

Solid State ◽

Pore Size Distribution ◽

Pore Size ◽

Size Distribution ◽

Solid State Nmr ◽

Composite Membranes ◽

Nmr Cryoporometry

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Porosity and pore size distribution of beds composed by sugarcane bagasse and wheat bran for solid-state cultivation

Powder Technology ◽

10.1016/j.powtec.2021.03.039 ◽

2021 ◽

Vol 386 ◽

pp. 166-175

Author(s):

Marianny Silva Canedo ◽

Maria Fernanda Santos Figueiredo ◽

Maximilian Thomik ◽

Nicole Vorhauer-Huget ◽

Evangelos Tsotsas ◽

...

Keyword(s):

Solid State ◽

Pore Size Distribution ◽

Pore Size ◽

Size Distribution ◽

Sugarcane Bagasse ◽

Wheat Bran

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

10.26434/chemrxiv.7970402.v1 ◽

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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