Slag – Refractory Interactions During Ilmenite Smelting: Thermodynamic Simulation and Experimental Data


Цитировать

Полный текст

Открытый доступ Открытый доступ
Доступ закрыт Доступ предоставлен
Доступ закрыт Только для подписчиков

Аннотация

The interaction of four types of commonly used refractories (i.e., burned magnesite brick, magnesia carbon brick, corundum castable, and SiC castable) with slag formed in the smelting of titanium (wt. [TiO2] = 80%) in an electric furnace at the Panzhihuan Iron and Steel plant was studied. Erosion of refractories by titanium slag was calculated using the FactSage software program. The experiment was carried out in an electric furnace based on calculation results. Meanwhile, the results of the thermodynamic simulation showed that the interaction of SiC castable with titanium slag formed TiC with a high melting point, which can prevent the slag from penetrating more deeply into the refractory and exhibits good erosion resistance. In terms of erosion resistance to titanium slag, different refractory materials can be arranged in order from most to least erosion resistant as follows: SiC castable → magnesia carbon brick → magnesite brick → corundum castable. The results of theoretical calculations are in good agreement with the experiment results.

Об авторах

Huang Run

College of Materials and Metallurgy, Guizhou University

Email: ognemet@misis.ru
Китай, Guiyang

Qian Xing

College of Materials and Metallurgy, Guizhou University

Email: ognemet@misis.ru
Китай, Guiyang

Lv Xiaodong

College of Materials and Metallurgy, Guizhou University

Email: ognemet@misis.ru
Китай, Guiyang

Liu Pengsheng

College of Materials and Metallurgy, Guizhou University

Email: ognemet@misis.ru
Китай, Guiyang

Zhang Jinzhu

Guizhou Province Key Laboratory of Metallurgical Engineering and Process Energy Saving

Email: ognemet@misis.ru
Китай, Guiyang

Дополнительные файлы

Доп. файлы
Действие
1. JATS XML

© Springer Science+Business Media, LLC, part of Springer Nature, 2018

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).