Notice of Retraction: Perspective and Prediction of the Rule of High Temperature Melting of SiO₂ via Visual Analysis
- Resource Type
- Authors
- Kai Zhang; Ping He; Xingzhong Xiong; Yangmin Li; Yinghao Zhu; Zuxin Li; Heng Li; Hao-Yang Mi; Xiaozhen Ma
- Source
- IEEE Access. 8:171334-171349
- Subject
- Materials science
General Computer Science
Delaunay triangulation
General Engineering
Process (computing)
02 engineering and technology
Function (mathematics)
021001 nanoscience & nanotechnology
Translation (geometry)
Convolutional neural network
Ground granulated blast-furnace slag
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
General Materials Science
Charge-coupled device
Slag (welding)
0210 nano-technology
Algorithm
- Language
- ISSN
- 2169-3536
This paper focuses on how to see through the melting behavior of solid iron tailings in molten blast furnace slag and take a new non-contact visual analytical method to predict its melting law. The optimized convolution neural network (CNN) is used to track the moving target in charge coupled device (CCD) camera system efficiently and accurately, and the melting behavior of SiO2 is described by coordinate translation transformation theory. Hierarchical agglomerative clustering (HAC) and delaunay triangulation were used to extract the characteristic parameters of the melting process of SiO2. The prediction model of the melting rate of SiO2 at high temperature was established by least square fitting (LSF) and dimensional analysis, and compared with the actual melting rate of SiO2 obtained by experiments. The results show that the melting characteristics of SiO2 at high temperature are in accordance with certain function rule. The performance of optimized CNN in terms of processing time and the accuracy are significantly improved, and the fusion rate prediction model of SiO2 is verified by 100% accuracy. It provides theoretical support and model basis for the improvement of slag cotton preparation technology.