Analysis Model of Molten Crystallization of Mold Flux based on Image Segmentation Recognition

Authors

  • Sha Yuan

DOI:

https://doi.org/10.54097/hset.v35i.7061

Keywords:

Correlation Analysis; Image Segmentation Extraction Technology; Monte Carlo Algorithm; Discrete Wavelets; Multivariate Linear Regression.

Abstract

In this paper, through the research and analysis of the melting and crystallization process of mold flux, the characteristics of steel are improved. In the process of casting billet, the solidification characteristics of continuous casting billet are closely related to the physical and chemical properties of mold flux. The hot wire recognition image caused a great waste of manpower and material resources. Therefore, it is particularly important to develop automatic feature extraction and mathematical modeling techniques for sequence images. In this paper, correlation analysis, image segmentation and extraction technology, time series, discrete wavelet and other related models are used to study the images in the melting and crystallization process of mold flux, and analyze the differences of mold flux in the melting and crystallization process, so as to solve the kinetic relationship between the melting and crystallization process of mold flux.

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References

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Published

11-04-2023