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Predicting the Operational Efficiency of High-Pressure Roller Crushers

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Abstract

Models based on regression analysis for predicting the operational efficiency of high-pressure roller crushers are considered. A systematized and structured production database is created and statistically analyzed. The consistency of the data is verified. The parameters with the greatest influence on the productivity are identified. The basic structure of the mathematical models is determined, and the limits on their applicability are assessed. Predictive mathematical models are developed. Their adequacy is verified, and their precision is established in assessing the productivity of mills at an enrichment plant where the mineral composition of the incoming ore varies.

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Authors and Affiliations

  1. Belgorod State University, 308015, Belgorod, Russia

    O. A. Ivashchuk, O. D. Ivashchuk, V. I. Fedorov & A. I. Shtana

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  1. O. A. Ivashchuk
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  2. O. D. Ivashchuk
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  3. V. I. Fedorov
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  4. A. I. Shtana
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Corresponding authors

Correspondence to O. A. Ivashchuk, O. D. Ivashchuk, V. I. Fedorov or A. I. Shtana.

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Translated by B. Gilbert

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Ivashchuk, O.A., Ivashchuk, O.D., Fedorov, V.I. et al. Predicting the Operational Efficiency of High-Pressure Roller Crushers. Russ. Engin. Res. 40, 970–972 (2020). https://doi.org/10.3103/S1068798X2011009X

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  • DOI: https://doi.org/10.3103/S1068798X2011009X

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