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Updated: Feb 7, 2026

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
Published on: June 10, 2019
[Multi-Element Detection in Molten Steel with Laser-Induced Breakdown Spectroscopy]
This study developed a Laser Induced Breakdown Spectroscopy (LIBS) system for real-time elemental analysis of molten steel. The LIBS system achieved sensitive detection limits for key elements like Carbon and Sulfur, crucial for iron and steel quality control.
Area of Science:
- Metallurgical analysis
- Spectroscopy
- Materials science
Background:
- On-line elemental analysis is critical for quality control in the iron and steel industry.
- Laser Induced Breakdown Spectroscopy (LIBS) offers a promising technique for in-situ molten steel analysis.
Purpose of the Study:
- To develop and validate a laboratory-based LIBS system for the on-line detection of elemental composition in molten steel.
- To assess the system's performance in terms of detection limits and calibration accuracy for key elements.
Main Methods:
- A LIBS system was constructed using a Q-switched Nd:YAG laser, high-frequency induction furnace, and a UV spectrometer.
- Deep-UV detector coating and solarization-resistant fibers were employed for enhanced spectral signal collection.
- Calibration curves were generated for Carbon (C), Sulfur (S), Manganese (Mn), and Chromium (Cr) to determine detection limits.
Main Results:
- The LIBS system successfully detected multiple elements in molten steel.
- Achieved limits of detection were 169 μg·g⁻¹ for C, 15 μg·g⁻¹ for S, 58.9 μg·g⁻¹ for Mn, and 210 μg·g⁻¹ for Cr.
- Calibration curves exhibited R-squares greater than 0.96, indicating high accuracy, with optimal calibration dependent on element-specific delay conditions.
Conclusions:
- The developed LIBS system demonstrates effective on-line elemental detection capabilities for molten steel.
- The system's sensitivity and accuracy are suitable for quality control applications in the iron and steel industry.
- Optimizing spectral acquisition parameters, such as delay time, is essential for accurate multi-element analysis.
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