Evaluation of the Potential of Spectroscopy in Electric Arc Furnaces to Determine the Chemical Composition of Liquid Steel

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@mastersthesis{0aed68a3939d4f038d25996597491b90,
title = "Evaluation of the Potential of Spectroscopy in Electric Arc Furnaces to Determine the Chemical Composition of Liquid Steel",
abstract = "This thesis investigates the feasibility and stability of using atomic emission spectroscopy as a means of determining the composition of liquid steel in an electric arc furnace (EAF). In the first step of the data processing, the observed spectra from the spectroscope are smoothed (Savitzky-Golay polynomial smoothing) and the baseline is removed, with methods based on “minimizing non-quadratic cost functions” or “penalized least-squares”. Next, the corresponding chemical elements are assigned to the peaks in the spectra with the help of the online database “NIST Atomic Spectra Database”. In the final step, calibration curves are established for each element, in order to determine, whether there is correlation between the observations and the actual content of the corresponding element in the steel sample. The experimental setup, conceived and implemented in the course of this work, covers a small-scale laboratory EAF and a spectroscope. In order to conduct the required experiments, low alloy steel samples of known chemical composition are utilized and the arc that is established between the molten steel and the graphite electrode is observed by the spectroscope. The results of this thesis lead to the assumption, that the setup, that was available for the experimental work may not be sufficiently suitable to be conclusive with respect to an industrial oven and equipment. Another major finding of this work is, that the uncontrolled nature of the arc in an EAF is not suitable as an excitation source for atomic spectroscopy, due to the instability and the sensitivity to impurities in the sample.",
keywords = "Atomic Emission Spectroscopy, Spectroscopy, Electric Arc Furnace, EAF, Steel Analysis, In-Situ Analysis, Steelmaking, Atomemissionsspektroskopie, Spektroskopie, Lichtbogenofen, EAF, Stahlanalyse, In-Situ Analyse, Stahlerzeugung",
author = "Florian Floh",
note = "embargoed until 18-09-2024",
year = "2019",
language = "English",
school = "Montanuniversitaet Leoben (000)",

}

RIS (suitable for import to EndNote) - Download

TY - THES

T1 - Evaluation of the Potential of Spectroscopy in Electric Arc Furnaces to Determine the Chemical Composition of Liquid Steel

AU - Floh, Florian

N1 - embargoed until 18-09-2024

PY - 2019

Y1 - 2019

N2 - This thesis investigates the feasibility and stability of using atomic emission spectroscopy as a means of determining the composition of liquid steel in an electric arc furnace (EAF). In the first step of the data processing, the observed spectra from the spectroscope are smoothed (Savitzky-Golay polynomial smoothing) and the baseline is removed, with methods based on “minimizing non-quadratic cost functions” or “penalized least-squares”. Next, the corresponding chemical elements are assigned to the peaks in the spectra with the help of the online database “NIST Atomic Spectra Database”. In the final step, calibration curves are established for each element, in order to determine, whether there is correlation between the observations and the actual content of the corresponding element in the steel sample. The experimental setup, conceived and implemented in the course of this work, covers a small-scale laboratory EAF and a spectroscope. In order to conduct the required experiments, low alloy steel samples of known chemical composition are utilized and the arc that is established between the molten steel and the graphite electrode is observed by the spectroscope. The results of this thesis lead to the assumption, that the setup, that was available for the experimental work may not be sufficiently suitable to be conclusive with respect to an industrial oven and equipment. Another major finding of this work is, that the uncontrolled nature of the arc in an EAF is not suitable as an excitation source for atomic spectroscopy, due to the instability and the sensitivity to impurities in the sample.

AB - This thesis investigates the feasibility and stability of using atomic emission spectroscopy as a means of determining the composition of liquid steel in an electric arc furnace (EAF). In the first step of the data processing, the observed spectra from the spectroscope are smoothed (Savitzky-Golay polynomial smoothing) and the baseline is removed, with methods based on “minimizing non-quadratic cost functions” or “penalized least-squares”. Next, the corresponding chemical elements are assigned to the peaks in the spectra with the help of the online database “NIST Atomic Spectra Database”. In the final step, calibration curves are established for each element, in order to determine, whether there is correlation between the observations and the actual content of the corresponding element in the steel sample. The experimental setup, conceived and implemented in the course of this work, covers a small-scale laboratory EAF and a spectroscope. In order to conduct the required experiments, low alloy steel samples of known chemical composition are utilized and the arc that is established between the molten steel and the graphite electrode is observed by the spectroscope. The results of this thesis lead to the assumption, that the setup, that was available for the experimental work may not be sufficiently suitable to be conclusive with respect to an industrial oven and equipment. Another major finding of this work is, that the uncontrolled nature of the arc in an EAF is not suitable as an excitation source for atomic spectroscopy, due to the instability and the sensitivity to impurities in the sample.

KW - Atomic Emission Spectroscopy

KW - Spectroscopy

KW - Electric Arc Furnace

KW - EAF

KW - Steel Analysis

KW - In-Situ Analysis

KW - Steelmaking

KW - Atomemissionsspektroskopie

KW - Spektroskopie

KW - Lichtbogenofen

KW - EAF

KW - Stahlanalyse

KW - In-Situ Analyse

KW - Stahlerzeugung

M3 - Master's Thesis

ER -