Study of the Process of Processing Electric Steel Melting Dusts by the Method of Physicochemical Modeling

A physicochemical model of the recycling process of electric steelmaking dusts (ESM) with obtaining granulated pig iron and ZnO has been developed. The principal possibility of ESM dust processing by the proposed technology has been demonstrated. According to the model it is revealed that the main compounds in pig iron are Fe3C, Fe and FeS with the content, % by mass, respectively: 95,1 Fe; 4,89 C; 0,01 S, and in zinc-containing fumes, ZnO prevail with content 65,43 % by mass. The obtained modeling data are confirmed by the results of laboratory experiments on charge melting.

Authors

Institutions

Publication Details

Journal
Ecology and Industry of Russia
Published
2024-12-10
DOI
https://doi.org/10.18412/1816-0395-2024-12-13-19
Citations
1
Primary Topic
Metal Extraction and Bioleaching
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study of the Process of Processing Electric Steel Melting Dusts by the Method of Physicochemical Modeling

Н. В. Немчинова, А. А. Tyutrin, Alexey E. Patrushov
1 citations
Ecology and Industry of Russia
Metal Extraction and Bioleaching
0.18
article

Study of the Process of Processing Electric Steel Melting Dusts by the Method of Physicochemical Modeling

Н. В. Немчинова, А. А. Tyutrin, Alexey E. Patrushov
article en
1 citations

Abstract

A physicochemical model of the recycling process of electric steelmaking dusts (ESM) with obtaining granulated pig iron and ZnO has been developed. The principal possibility of ESM dust processing by the proposed technology has been demonstrated. According to the model it is revealed that the main compounds in pig iron are Fe3C, Fe and FeS with the content, % by mass, respectively: 95,1 Fe; 4,89 C; 0,01 S, and in zinc-containing fumes, ZnO prevail with content 65,43 % by mass. The obtained modeling data are confirmed by the results of laboratory experiments on charge melting.

Ecology and Industry of RussiaVol. 28(12)
Irkutsk National Research Technical University (RU)
Openalex Percentile: Top 50%
Metal Extraction and Bioleaching
0.18
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.