Technique for the determination of the chemical composition of the steel scrap in the charge in an arc furnace

Yakubov, Sh. A.; Totok, A. G.; Shevtsov, A. Z.; Usachev, A. B.

doi:10.1134/s0036029508080168

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The literature reports several studies aiming at understanding the metallurgical effects and the decarburization process during melting and refining through the last 20 years. Some researchers investigated the determination of the initial carbon content during melting and refining for different metallic charges. Mathematical models predicting the optimum carbon content for energy consumption reduction were developed, as discussed in previous studies .…”

Section: Introductionmentioning

confidence: 99%

Empirical Model for Predicting Process Parameters during Electric Arc Furnace Refining Stage Based on Real Measurements

Elkoumy

Fathy

Megahed

et al. 2019

steel research int.

View full text Add to dashboard Cite

The present study aims at building a road map‐model for the steel melt compositional variations during the electric arc furnace (EAF) refining stage. The model is based on real measurements and compared to thermodynamic predictions. The studied parameters are steel melt carbon content and temperature. Herein, high‐temperature investigations (1550–1700 °C) with different chemistry ranges (mainly carbon content, 0.02–0.20% C) are carried out during the refining stage operation. The work develops a detailed empirical model to simulate the industrial EAF refining stage, which can be used to implement different optimization and control strategies for the EAF refining process. Furthermore, the study investigates the refining stage metallurgical phenomenon and the different operating conditions used to produce different steel grades over a wide range of carbon content; from ultra‐low carbon steel “0.02% C” till medium carbon steel grades “0.20% C.” Moreover, the work controls the steel melt tapping parameters for best cost achievement of steel melt yield and electrical energy consumption using simple measurements. These measurements are fitted into simple regression equations and contour plots for best refining stage control of the desired steel grade to be produced.

show abstract

Section: Introductionmentioning

confidence: 99%