Redirigiendo al acceso original de articulo en 16 segundos...
Inicio  /  Coatings  /  Vol: 9 Núm: 1 Par: January (2019)  /  Artículo
ARTÍCULO
TITULO

Influence of the Obtaining Method on the Properties of Amorphous Aluminum Compounds

Aliya N. Mukhamed'yarova    
Oksana V. Nesterova    
Kirill S. Boretsky    
Juliya D. Skibina    
Avgustina V. Boretskaya    
Svetlana R. Egorova and Alexander A. Lamberov    

Resumen

Amorphous aluminum compounds are formed during the synthesis of the γ-Al2O3 catalyst precursor. Amorphous compounds influence on the alumina catalyst variously due to different physicochemical properties, which depend on the method of their preparation. In this research, the comparative analysis of physicochemical properties of amorphous aluminum compounds that were obtained by the precipitation method, the thermal decomposition of aluminum nitrate, and alcoxide hydrolysis product were studied. It is the first time that a new method for calculating of quantitative phase composition of amorphous aluminum compounds using the X-ray powder diffraction, thermogravimetric and differential scanning calorimetry analysis, mass-spectrometry, and CHN-analysis was described. Properties of obtaining samples were studied using scanning electron microscopy, low-temperature nitrogen adsorption, and temperature programmed desorption of ammonium analyses. The methods of precipitation and thermal decomposition of aluminum nitrate allows for obtaining non-porous samples consisting of a mixture of amorphous phases (hydroxide and basic salt) that contain the metals impurities and have low acidity of the oxides obtained from them. The highly porous amorphous alumina formed by the thermal decomposition of the alcoxide hydrolysis product with the least amount of impurities and a high acidity of the surface was observed.

 Artículos similares

       
 
Ahram Song    
Deep learning techniques have recently shown remarkable efficacy in the semantic segmentation of natural and remote sensing (RS) images. However, these techniques heavily rely on the size of the training data, and obtaining large RS imagery datasets is d... ver más
Revista: Aerospace

 
Seok-Hwan Oh, Tae-Seong Roh and Hyoung Jin Lee    
This study was focused on the configuration design of a star grain by using machine learning in the optimal design process. The key to optimizing the grain design is aimed at obtaining a set of configuration variables that satisfy the requirements. The o... ver más
Revista: Aerospace

 
Khrystyna Burshtynska, Iryna Zayats, Maksym Halochkin, Krzysztof Bakula and Lyubov Babiy    
This paper proposes a general methodological approach to hydrological modeling for determining the areas of flooded land in the plain part of the Dniester riverbed, the second largest river in Ukraine. The purpose of the study is the selection of paramet... ver más
Revista: Water

 
André Luiz Ferreira Carvalho Melo, Marcelo Teixeira Carneiro, Alan Ícaro Sousa Morais, Bartolomeu Cruz Viana, Francisco Eroni Paz Santos, Josy Anteveli Osajima, Roosevelt D. S. Bezerra, Ramón Raudel Peña-Garcia, Luciano C. Almeida, Santiago Medina Carrasco and Edson C. Silva-Filho    
Water pollution remains a global problem that urges researchers to develop new technologies aimed at environmental restoration. Here, this study aimed at obtaining an activated biochar from pequi almonds for dye removal. Before and after adsorption, the ... ver más
Revista: Water

 
Dimitra Rapti, Giovanni Martinelli, Guodong Zheng and Clelia Vincenzi    
Bottled mineral waters originate from groundwater aquifers, their chemical composition being initially determined by geochemical water-rock interaction processes. The waters used for bottling originate from different parts of the hydrological cycle and h... ver más
Revista: Water