Metallurgical performance of Ca3TiFe2O8

IF 1.9 3区材料科学 Q4 CHEMISTRY, PHYSICAL Calphad-computer Coupling of Phase Diagrams and Thermochemistry Pub Date : 2024-03-11 DOI:10.1016/j.calphad.2024.102671

Yongda Li , Gang Li , Ningyu Zhang , Guishang Pei , Yuxiao Xue , Xuewei Lv

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Abstract

Ca₃TiFe₂O₈ (abbreviated as CTF), which is a significant mineral phase in the sinter of titanium-containing iron ore, was successfully prepared by solid-state reaction (calcined at 1553 K for 24 h) by using analytical reagents in this study. The metallurgical performance (melting performance and reduction behavior) was systemically characterized and the enthalpy change data of CTF was tested. The results show that softening temperature, melting temperature, and flowing temperature of CTF were 1691 K, 1734 K, and 1753 K, respectively. The non-isothermal reduction results revealed that CTF was reduced to Fe, CaO, and perovskite in a single step, and the CTF reduction was completed when the temperature reached 1423 K. The results of isothermal reduction shows that the reduction degree of CTF was 89% when reduced at 1173 K for 79.2 min, and the order of reduction performance was Fe₂O₃ > Fe₃O₄ > CaO∙2Fe₂O₃ > CaO∙Fe₂O₃> Ca₃TiFe₂O₈> 2CaO∙Fe₂O₃> Ca₃Fe₂Si_1.58Ti_1.42O₁₂.

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Ca3TiFe2O8 的冶金性能

本研究使用分析试剂，通过固态反应（在 1553 K 煅烧 24 小时）成功制备了 Ca3TiFe2O8（简称 CTF），它是含钛铁矿烧结矿中的一种重要矿物相。对其冶金性能（熔化性能和还原行为）进行了系统表征，并测试了 CTF 的焓变数据。结果表明，CTF 的软化温度、熔化温度和流动温度分别为 1691 K、1734 K 和 1753 K。非等温还原结果显示，CTF 被一步还原成 Fe、CaO 和包晶，当温度达到 1423 K 时，CTF 还原完成。等温还原结果表明，在 1173 K 下还原 79.2 分钟，CTF 的还原度为 89%，还原程度依次为 Fe2O3 > Fe3O4 > CaO∙2Fe2O3 > CaO∙Fe2O3> Ca3TiFe2O8> 2CaO∙Fe2O3> Ca3Fe2Si1.58Ti1.42O12。

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来源期刊

Calphad-computer Coupling of Phase Diagrams and Thermochemistry 化学-热力学

CiteScore

4.00

自引率

16.70%

发文量

审稿时长

2.5 months

期刊介绍： The design of industrial processes requires reliable thermodynamic data. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) aims to promote computational thermodynamics through development of models to represent thermodynamic properties for various phases which permit prediction of properties of multicomponent systems from those of binary and ternary subsystems, critical assessment of data and their incorporation into self-consistent databases, development of software to optimize and derive thermodynamic parameters and the development and use of databanks for calculations to improve understanding of various industrial and technological processes. This work is disseminated through the CALPHAD journal and its annual conference.