Abstract
Calcium complex ferrate is an ideal binder phase in the sintered ore phase, and a detailed study of the whole process of calcium complex ferrate generation is of great significance to improve the quality of sintered ore. In this paper, we first investigated calcium ferrate containing aluminum (CFA), which is an important precursor compound for the generation of complex calcium ferrate (SFCA), followed by a series of composite calcium ferrate generation process phase XRD detections and data preprocessing of data. Data correlation and data fitting analysis were combined with composite calcium ferrite phase diagram energy spectrum analysis to obtain the effect of MgO and Al2O3 on the formation of composite calcium ferrite. Then a modified RBF neural network model using the resource allocation network algorithm (RAN) was used to predict the generation trend of complex calcium ferrate. The parameters of the neural network are optimized with the Dragonfly algorithm, compared with the traditional RBF neural network. The prediction accuracy of the improved algorithm was found to be higher, with a prediction result of 97.6%. Finally, the predicted results were based on comparative metallurgical experimental results and data analysis. The validity and accuracy of the findings in this paper were verified.
Highlights
Calcium complex ferrate is an ideal binder phase in the sintered ore phase, and a detailed study of the whole process of calcium complex ferrate generation is of great significance to improve the quality of sintered ore
Data correlation and data fitting analysis were combined with composite calcium ferrite phase diagram energy spectrum analysis to obtain the effect of MgO and Al2O3 on the formation of composite calcium ferrite. en a modified RBF neural network model using the resource allocation network algorithm (RAN) was used to predict the generation trend of complex calcium ferrate. e parameters of the neural network are optimized with the Dragonfly algorithm, compared with the traditional RBF neural network. e prediction accuracy of the improved algorithm was found to be higher, with a prediction result of 97.6%
Introduction e ore-forming process of sinter is that some low-melting substances and low-melting substances produced by solidphase reactions during the sintering process are melted into liquid phase under the action of high temperature, and the liquid phase solidifies in the subsequent cooling process to become the strong connection of solid particles that have not been melted and particles that have dissolved into the liquid phase [1]
Summary
Aluminum-containing calcium ferrite (CFA) is an important precursor compound for the formation of composite calcium ferrite (SFCA) [13]. It was found by extending the sintering time in the low-temperature solid-phase reaction stage: e starting temperature of C2F is less than 750°C; in the following reaction (1), the starting temperature of CF is between 750°C and 850°C, and reaction (2) is consistent with the research conclusion of Li et al [14]. E formation reaction is as follows (3): CaO is generated by the decomposition of CaCO3; after that, CF, CA2, and Fe2O3 react to form CFA. Analysis suggests that the CaO(CaCO3)-Al2O3-Fe2O3 ternary system first produces dicalcium ferrite C2F. At about 850°C, the CA2/CF interface appears, and CFA begins to slowly form. e reaction equation for its formation is CA2 + CF + Fe2O3 ⟶ CFA (850°C–900°C)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
