A Review of Mathematical Process Models for the Electric Arc Furnace Process

51Citations
Citations of this article
131Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The electric arc furnace is the main process unit in scrap-based steelmaking. Owing to its importance, numerous mathematical models for predicting the course of the electric arc furnace process have been developed. This article reviews mathematical process models proposed in the literature, identifying the most common modeling approaches, and uses mathematical descriptions for the main phenomena. Furthermore, the validation of such models is discussed in detail. Finally, the article identifies gaps in the existing knowledge and provides suggestions for the further development of mathematical process models.

References Powered by Scopus

Principles of Gas Absorption

1168Citations
N/AReaders
Get full text

The Thermodynamics of Liquid Dilute Iron Alloys

839Citations
N/AReaders
Get full text

The modified quasichemical model I - Binary solutions

668Citations
N/AReaders
Get full text

Cited by Powered by Scopus

To what extent could biochar replace coal and coke in steel industries?

49Citations
N/AReaders
Get full text

Hydrogen Assisted Direct Reduction of Iron Oxides

23Citations
N/AReaders
Get full text

Data-Driven Modelling and Optimization of Energy Consumption in EAF

21Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Hay, T., Visuri, V. V., Aula, M., & Echterhof, T. (2021, March 1). A Review of Mathematical Process Models for the Electric Arc Furnace Process. Steel Research International. Wiley-VCH Verlag. https://doi.org/10.1002/srin.202000395

Readers over time

‘20‘21‘22‘23‘24‘25020406080

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 37

71%

Researcher 10

19%

Professor / Associate Prof. 4

8%

Lecturer / Post doc 1

2%

Readers' Discipline

Tooltip

Materials Science 24

44%

Engineering 21

38%

Chemical Engineering 6

11%

Energy 4

7%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 1

Save time finding and organizing research with Mendeley

Sign up for free
0