Researching | End Point Temperature Prediction of Converter Steelmaking Based on Characteristics of Flame Image and Spectrum

Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0430001(2023)

End Point Temperature Prediction of Converter Steelmaking Based on Characteristics of Flame Image and Spectrum

Shuai Liu and Muchun Zhou^*

Author Affiliations

School of Electronic and Optical Engineering, Nanjing University of Science & Technology, Nanjing 210094, Jiangsu, China

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Figures&Tables (5)

References (13)

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Figures & Tables(5)

Fig. 1. Comparison between flame temperature and molten steel temperature

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Fig. 2. Spectral image of furnace mouth flame

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Fig. 3. Characteristic wavelength selection result

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Fig. 4. Prediction results of endpoint temperature

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Table 1. Prediction results of different models
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Table 1. Prediction results of different models
Model RMSE /K Accuracy /%
$δ T \leq 20 K$ $δ T \leq 30 K$
Prediction model based on image features 23.2938 64.29 75.00
Prediction model based on spectral features 20.0140 60.71 82.14
Proposed model 15.8556 87.50 95.00

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Shuai Liu, Muchun Zhou. End Point Temperature Prediction of Converter Steelmaking Based on Characteristics of Flame Image and Spectrum[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0430001

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Paper Information

Category: Spectroscopy

Received: Nov. 24, 2021

Accepted: Dec. 22, 2021

Published Online: Feb. 14, 2023

The Author Email: Muchun Zhou (mczhou@sohu.com)

DOI:10.3788/LOP213049

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology