Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Indirect Solution Modeling of Melting Behavior of SiO2 Based on the Image Processing Technology

Version 1 : Received: 11 August 2023 / Approved: 11 August 2023 / Online: 14 August 2023 (08:57:37 CEST)

A peer-reviewed article of this Preprint also exists.

Lu C, Zhang Y, Zhang J, et al. Indirect solution modeling of melting behavior of SiO2 based on the image processing technology. Asia-Pac J Chem Eng. 2024;e3028. doi:10.1002/apj.3028. Lu C, Zhang Y, Zhang J, et al. Indirect solution modeling of melting behavior of SiO2 based on the image processing technology. Asia-Pac J Chem Eng. 2024;e3028. doi:10.1002/apj.3028.

Abstract

The utilization of tempered blast furnace (BF) slag through the direct fiber forming process to create high-value thermal insulation materials offers a dual benefit: it efficiently harnesses the latent heat within unused slag and substantially enhances the value of blast-furnace slag utilization. However, gauging the melting properties of iron slag under high temperatures is a challenge. In this study, we explore the melting behavior of SiO2 within a high-temperature molten pool. We employ dynamic visual data (video stream) captured via a non-contact charge coupled device (CCD) video recording system to extract SiO2 contours through image processing. The change in image centroid characteristics is used to establish a convolution function relationship, and MATLAB's traversal search algorithm determines SiO2's centroid position. Given that SiO2 is proportionate to crucible pixels, the area of SiO2 is calculated through pixel statistics within these contours. Subsequently, we propose a new indirect method to process image information, yielding SiO2 volume and mass at different time points. An exponential fitting yields the melting rate function of SiO2. Finally, we compare this indirect method with shape from shading (SFS), quantitative characterization, and dimensional analysis techniques. We also discuss the strengths and limitations of each method. Our findings reveal that the indirect solution method presented here boasts straightforward calculation steps and imposes minimal image format requirements. This research provides theoretical and technical support for blast-furnace slag's direct fiber forming process.

Keywords

image processing; K-means clustering algorithm; Traversal algorithm; Indirect solution method

Subject

Engineering, Industrial and Manufacturing Engineering

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