High-Temperature Fiber-Optic Raman Sensor for Steel Manufacturing
Abstract
The continuous casting process for steel production utilizes specially designed oxyfluoride glasses (mold fluxes) to lubricate the mold and control the steel solidification process. The composition of the flux controls important properties, such as viscosity, basicity, and crystallization rate, which in turn influences the quality of the as-cast product. However, these fluxes also interact with the steel during casting, causing chemistry shifts that must be anticipated in the design of the flux. Today, the in-service chemistry of the flux must be determined by taking flux samples from the mold during casting and then processing the samples off-line to determine chemistry and other physical properties, such as viscosity. Raman spectroscopy provides an alternative method for flux analysis, with the possibility of performing direct on-line analysis during casting. Raman spectroscopy has the unique ability to identify specific molecules through well-resolved vibrational bands that provide fingerprint signatures of the structure of the molecules. Specific peaks in the Raman spectra can be correlated with flux chemistry and viscosity. The work reported here aims to assess the structure and chemical composition of flux samples at high temperatures using fiber-optic Raman spectroscopy. Results from Raman spectral analyses captured the 1300 °C for a range of flux chemistries are presented. The experimental results demonstrate that the composition-dependent Raman signal shift can be detected at high temperatures and that on-line flux analysis using a high-temperature Raman system shows significant promise.
Recommended Citation
Bohong Zhang, Hanok Tekle, Laura Bartlett, Ronald OMalley, and Jie Huang "High-temperature fiber-optic Raman sensor for steel manufacturing", Proc. SPIE PC12105, Fiber Optic Sensors and Applications XVIII, (13 June 2022); https://doi.org/10.1117/12.2618861
Department(s)
Materials Science and Engineering
Second Department
Electrical and Computer Engineering
Keywords and Phrases
Raman spectroscopy, Fiber optics sensors, Fiber optics, Manufacturing, Sensors, Chemical analysis, Industrial chemicals, Molecular spectroscopy, Molecules, Statistical analysis
Document Type
Video - Conference proceedings
Document Version
Citation
File Type
movingimage
Language(s)
English
Rights
© 2024 Society of Photo-Optical Instrumentation Engineers (SPIE), all rights reserved
Publication Date
13 June, 2022