Optimization of Technological Parameters of the Working Process of a Spring–Rotor Grinder Based on Mathematical Modeling

This study addresses the problem of improving the efficiency of fine grinding of bulk materials in an original-design double spring–rotor grinder equipped with a separating diaphragm with a variable discharge orifice. The purpose of the work is to determine rational operating parameters that ensure a balanced trade-off between grinding quality, throughput, and energy consumption. The methodology is based on a full-factorial experimental design (Hartley plan) with five controllable parameters—rotational speed, material filling ratio, overlap of the working zones, grinding chamber clearance, and grinding duration—followed by response surface modeling and multi-objective optimization. The main responses included grinding fineness, throughput, drive power, specific energy consumption, and specific metal intensity. Adequate second-order regression models were obtained (R2 > 0.93), and analysis of variance confirmed the statistical significance of the main effects and interactions. Multi-objective optimization enabled the identification of operating regimes that increase throughput by 15–20% while reducing specific energy consumption by 8–12% compared with empirical settings. The proposed approach provides a quantitative basis for selecting compromise operating conditions and can be applied to the tuning and control of spring–rotor grinding equipment in processing industries.

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Publication Details

Journal
Applied Sciences
Published
2026-03-17
DOI
https://doi.org/10.3390/app16062900
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
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article

Optimization of Technological Parameters of the Working Process of a Spring–Rotor Grinder Based on Mathematical Modeling

T. Leśniewski, Piotr Stryczek, Bekbolat Moldakhanov, Vladimir YAKOVLEV et al.
Applied Sciences
Mineral Processing and Grinding
article

Optimization of Technological Parameters of the Working Process of a Spring–Rotor Grinder Based on Mathematical Modeling

T. Leśniewski, Piotr Stryczek, Bekbolat Moldakhanov, Vladimir YAKOVLEV, Mikhail Doudkin, Alina Kim, Aidos Baigunusov
article en

Abstract

This study addresses the problem of improving the efficiency of fine grinding of bulk materials in an original-design double spring–rotor grinder equipped with a separating diaphragm with a variable discharge orifice. The purpose of the work is to determine rational operating parameters that ensure a balanced trade-off between grinding quality, throughput, and energy consumption. The methodology is based on a full-factorial experimental design (Hartley plan) with five controllable parameters—rotational speed, material filling ratio, overlap of the working zones, grinding chamber clearance, and grinding duration—followed by response surface modeling and multi-objective optimization. The main responses included grinding fineness, throughput, drive power, specific energy consumption, and specific metal intensity. Adequate second-order regression models were obtained (R2 > 0.93), and analysis of variance confirmed the statistical significance of the main effects and interactions. Multi-objective optimization enabled the identification of operating regimes that increase throughput by 15–20% while reducing specific energy consumption by 8–12% compared with empirical settings. The proposed approach provides a quantitative basis for selecting compromise operating conditions and can be applied to the tuning and control of spring–rotor grinding equipment in processing industries.

Applied SciencesVol. 16(6)
Wrocław University of Science and Technology (PL), South Kazakhstan Medical Academy (KZ), D. Serikbayev East Kazakhstan State Technical University (KZ), Kazakh-American Free University (KZ), M.Auezov South Kazakhstan State University (KZ), AGH University of Krakow (PL)
Affordable and clean energy
Openalex Percentile: Top 19%
Mineral Processing and Grinding
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