Mathematical model of the ferrosilicomanganese crushing process at the Chelyabinsk electrometallurgical plant

This paper presents a parametric mathematical model of the ferrosilicomanganese (MnS17) crushing process in a DShch-1 jaw crusher at the Chelyabinsk Electrometallurgical Plant (ChEMK). The high abrasiveness and brittleness of this alloy lead to intensive wear of crushing plates, reducing production efficiency and increasing operational costs. The research aims to establish quantitative relationships between key process parameters: feed particle size (Davg), crusher shaft rotation speed (n), chamber filling degree (f), crushing plate lifespan (t0.5), power consumption (N), throughput capacity (Q). The study utilises experimental data collected at ChEMK in 2024, including plate wear measurements under various crusher operating regimes. The developed parametric crushing model incorporates: an analytical expression for throughput calculation, a semi-empirical formula for jaw crusher power consumption considering mechanical efficiency, an empirical multifactor regression equation t0.5 = f (Davg, n, f).

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Publication Details

Journal
Ferrous Metallurgy Bulletin of Scientific Technical and Economic Information
Published
2025-09-22
DOI
https://doi.org/10.32339/0135-5910-2025-8-14-19
Primary Topic
Coal and Coke Industries Research
Type
article
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article

Mathematical model of the ferrosilicomanganese crushing process at the Chelyabinsk electrometallurgical plant

Ivan Nikolaevich Erdakov, В. А. Иванов, M. A. Stennikov
Ferrous Metallurgy Bulletin of Scientific Technical and Economic Information
Coal and Coke Industries Research
article

Mathematical model of the ferrosilicomanganese crushing process at the Chelyabinsk electrometallurgical plant

Ivan Nikolaevich Erdakov, В. А. Иванов, M. A. Stennikov
article en

Abstract

This paper presents a parametric mathematical model of the ferrosilicomanganese (MnS17) crushing process in a DShch-1 jaw crusher at the Chelyabinsk Electrometallurgical Plant (ChEMK). The high abrasiveness and brittleness of this alloy lead to intensive wear of crushing plates, reducing production efficiency and increasing operational costs. The research aims to establish quantitative relationships between key process parameters: feed particle size (Davg), crusher shaft rotation speed (n), chamber filling degree (f), crushing plate lifespan (t0.5), power consumption (N), throughput capacity (Q). The study utilises experimental data collected at ChEMK in 2024, including plate wear measurements under various crusher operating regimes. The developed parametric crushing model incorporates: an analytical expression for throughput calculation, a semi-empirical formula for jaw crusher power consumption considering mechanical efficiency, an empirical multifactor regression equation t0.5 = f (Davg, n, f).

Ferrous Metallurgy Bulletin of Scientific Technical and Economic InformationVol. 81(8)
South Ural State University (RU)
Openalex Percentile: Top 47%
Coal and Coke Industries Research
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Mathematical model of the ferrosilicomanganese crushing process at the Chelyabinsk electrometallurgical plant — Ivan Nikolaevich Erdakov, В. А. Иванов, et al. · Ferrous Metallurgy Bulletin of Scientific Technical and Economic Information (2025) | TGRS Research Map | TGRS