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Titanium-Pillared Clay: Preparation Optimization, Characterization, and Artificial Neural Network Modeling

Seyed Heydar Mosavi Mirak, Seyedmehdi Sharifian, Fatemeh Esmaeili Khalil Saraei, Neda Asasian‐Kolur, Bahram Haddadi, Christian Jordan, Michael Harasek

2022Materials11 citationsDOIOpen Access PDF

Abstract

Titanium-pillared clay (Ti-PILC), as one of the most suitable types of porous adsorbents/(photo)catalysts, was prepared from a local type of Iranian clay and titanium isopropoxide. The production process was optimized by changing three operating parameters, including the clay suspension concentration (in the range of 0.5–10% w/v), the H+/Ti ratio (2–8 mol/mol), and the calcination temperature (300–700 °C). The largest specific surface area for the Ti-PILC was about 164 m2/g under the clay suspension of 0.5% w/v, H+/Ti = 6, with a surface area 273% larger than that of the raw clay. The surface areas obtained from more concentrated clay suspensions were, however, comparable (159 m2/g for 3% w/v clay and H+/Ti = 4). An increase in the calcination temperature has a negative effect on the porous texture of Ti-PILC, but based on modeling with artificial neural networks, its contribution was only 7%. Clay suspension and H+/Ti ratio play a role of 56 and 37% of the specific surface area. The presence of rutile phase, and in some cases anatase phase of TiO2 crystals was detected. FTIR and SEM investigations of Ti-PILCs produced under different operating parameters were analyzed.

Topics & Concepts

Materials scienceCharacterization (materials science)TitaniumArtificial neural networkChemical engineeringNanotechnologyMetallurgyComputer scienceArtificial intelligenceEngineeringEnhanced Oil Recovery TechniquesGeological Modeling and AnalysisDrilling and Well Engineering
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