Javascript must be enabled to continue!
In situ analysis of steelmaking slags and mold fluxes at elevated temperatures using a remote fibre-optic Raman probe
View through CrossRef
In the steelmaking process, mold fluxes are essential for ensuring thermal insulation, refining, and the efficiency of continuous casting. Real-time understanding of the in-service composition of slags and fluxes are crucial for optimising the steel production process and improving the quality of the final product. An in situ fibre-optic Raman probe that enables the study of the structure, composition, and viscosity of molten slags and fluxes at steelmaking temperatures has been developed and demonstrated both in the lab and in foundry scale experiments. The focus of this study is on the structural, compositional, and property analysis of molten fluxes in a laboratory setting, with the aim of applying this technology for in situ monitoring during industrial production. Raman spectra were successfully collected at various temperatures from 1000°C to 1400°C in real-time and analysed using a deconvolution algorithm to isolate and quantify peaks in the spectra associated with the specific structures of molecular components in molten and solidifying flux. The research successfully combines in situ Raman spectroscopy with high-temperature viscosity data, specifically targeting CaO-CaF-SiO2-Al2O3 based mould flux systems. Specified ratios of the deconvoluted Raman peaks, such as Al-O-Al/Si-O-Si ratio, shows good correlation with the flux chemistry, while the Q3/Q0 peak ratio shows good correlation with viscosity. A ruggedised Raman probe system was also developed and demonstrated in an 80 kg induction furnace. Ultimately, the goal of this work is to demonstrate in situ slag and mould flux analysis in industrial processes, such as in the continuous caster or electric arc furnace (EAF).
Australasian Institute of Mining and Metallurgy (AusIMM)
Title: In situ analysis of steelmaking slags and mold fluxes at elevated temperatures using a remote fibre-optic Raman probe
Description:
In the steelmaking process, mold fluxes are essential for ensuring thermal insulation, refining, and the efficiency of continuous casting.
Real-time understanding of the in-service composition of slags and fluxes are crucial for optimising the steel production process and improving the quality of the final product.
An in situ fibre-optic Raman probe that enables the study of the structure, composition, and viscosity of molten slags and fluxes at steelmaking temperatures has been developed and demonstrated both in the lab and in foundry scale experiments.
The focus of this study is on the structural, compositional, and property analysis of molten fluxes in a laboratory setting, with the aim of applying this technology for in situ monitoring during industrial production.
Raman spectra were successfully collected at various temperatures from 1000°C to 1400°C in real-time and analysed using a deconvolution algorithm to isolate and quantify peaks in the spectra associated with the specific structures of molecular components in molten and solidifying flux.
The research successfully combines in situ Raman spectroscopy with high-temperature viscosity data, specifically targeting CaO-CaF-SiO2-Al2O3 based mould flux systems.
Specified ratios of the deconvoluted Raman peaks, such as Al-O-Al/Si-O-Si ratio, shows good correlation with the flux chemistry, while the Q3/Q0 peak ratio shows good correlation with viscosity.
A ruggedised Raman probe system was also developed and demonstrated in an 80 kg induction furnace.
Ultimately, the goal of this work is to demonstrate in situ slag and mould flux analysis in industrial processes, such as in the continuous caster or electric arc furnace (EAF).
Related Results
Sulfur distribution ratio in iron and steelmaking slags
Sulfur distribution ratio in iron and steelmaking slags
The sulfur distribution ratio (Ls) is an expression of the amount of sulfur in slag to the amount of sulfur in molten metal. The sulfide capacities calculated from Reddy-Blander (R...
Injection Molding
Injection Molding
Injection molding is one of the oldest polymer processing operations used to produce goods from thermoplastic polymers. Today, almost all commercial injection molding machines have...
A New Approach to Mold Design Using Manufacturable Entities
A New Approach to Mold Design Using Manufacturable Entities
Abstract
A new approach using two process specific entities is presented for generating the shape of the mold for an injection molded part simultaneously as the part...
Clinical features of COVID-19-related optic neuritis: a retrospective study
Clinical features of COVID-19-related optic neuritis: a retrospective study
ObjectiveThis retrospective study aimed to investigate the clinical features of optic neuritis associated with COVID-19 (COVID-19 ON), comparing them with neuromyelitis optica-asso...
Steelmaking slags as raw material for sulphoaluminate belite cement
Steelmaking slags as raw material for sulphoaluminate belite cement
In the present study, slags from the steelmaking industry are described and considered as a potential raw material within the field of sulphoaluminate belite cement. The objective ...
Crystallization characteristics of B2O3 and TiO2-bearing glassy fluoride-free mold fluxes
Crystallization characteristics of B2O3 and TiO2-bearing glassy fluoride-free mold fluxes
To explore the effects of TiO2 and/or B2O3 on crystallization of the glassy fluoride-free slag film near the copper mould, the crystallization characteristics of glassy fluoride-fr...
Study on Mechanical Properties and Water Absorption Behaviour of Wastepaper Fibre/Recycled Polypropylene Composites
Study on Mechanical Properties and Water Absorption Behaviour of Wastepaper Fibre/Recycled Polypropylene Composites
There has been growing interest in the use of waste materials as an alternative source for the conventional wood-plastic composites (WPC) in the global market. This paper evaluates...
Application of neural network in steelmaking and continuous casting: A review
Application of neural network in steelmaking and continuous casting: A review
With the improvement of computer computing power and the development of big data technology, neural networks have rapidly developed and been effectively applied in multiple fields....

