Modelling of dynamic scale layer growth considering temperature, time and alloying elements

Abstract: During hot forming of steel oxide scaling occurs at higher temperatures caused by reactions with oxide containing atmospheres. Three characteristic iron oxides exist for steel at temperatures above 570°C: Wustite (FeO), magnetite (Fe3O4) and hematite (Fe2O3). Scale layer formation is influenced by various process parameters, such as temperature, process time and furnace atmosphere. Additionally, the base material with different alloying elements (e.g. C, Cr, Si and Ni) also affects the scale layer formation. Therefor oxide scales are very difficult to handle in the entire manufacturing process. The aim of this work is to examine and evaluate the influence of temperature, time and the alloying elements C and Cr in association with the layer growth, layer composition and thermophysical properties for scale layers. Based on the achieved correlations, a model is developed, which is able to predict the scale formation and scale properties, depending on temperature, time and alloying elements. With rising temperature and time increasing layer thicknesses were observed. Further, the additional Cr ensured lower layer thicknesses compared to the unalloyed steels. The iron oxide distribution changed with rising temperature to higher oxide containing phases like magnetite and hematite. The mathematical model, developed based on this results, is able to calculate the resulting layer structure, thickness and thermophysical properties depending on temperature, time and chemical composition of the material.

Authors

Institutions

Publication Details

Journal
Materials research proceedings
Published
2024-08-26
DOI
https://doi.org/10.21741/9781644903254-52
Citations
1
Primary Topic
Solidification and crystal growth phenomena
Type
article
Field-Weighted Citation Impact
0.12

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling of dynamic scale layer growth considering temperature, time and alloying elements

Tim Bergelt
1 citations
Materials research proceedings
Solidification and crystal growth phenomena
0.12
article

Modelling of dynamic scale layer growth considering temperature, time and alloying elements

Tim Bergelt
article en
1 citations

Abstract

Abstract: During hot forming of steel oxide scaling occurs at higher temperatures caused by reactions with oxide containing atmospheres. Three characteristic iron oxides exist for steel at temperatures above 570°C: Wustite (FeO), magnetite (Fe3O4) and hematite (Fe2O3). Scale layer formation is influenced by various process parameters, such as temperature, process time and furnace atmosphere. Additionally, the base material with different alloying elements (e.g. C, Cr, Si and Ni) also affects the scale layer formation. Therefor oxide scales are very difficult to handle in the entire manufacturing process. The aim of this work is to examine and evaluate the influence of temperature, time and the alloying elements C and Cr in association with the layer growth, layer composition and thermophysical properties for scale layers. Based on the achieved correlations, a model is developed, which is able to predict the scale formation and scale properties, depending on temperature, time and alloying elements. With rising temperature and time increasing layer thicknesses were observed. Further, the additional Cr ensured lower layer thicknesses compared to the unalloyed steels. The iron oxide distribution changed with rising temperature to higher oxide containing phases like magnetite and hematite. The mathematical model, developed based on this results, is able to calculate the resulting layer structure, thickness and thermophysical properties depending on temperature, time and chemical composition of the material.

Materials research proceedingsVol. 44
Chemnitz University of Technology (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 60%
Solidification and crystal growth phenomena
0.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.