Фундаментальные и прикладные проблемы черной металлургии

DOI: 10.52150/2522-9117-2024-38-686-709

Khudyakov Oleksandr Yuriiovych, Ph. D. (Tech.), Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, 49107, Ukraine. ORCID: 0000-0002-6507-1120.

Vashchenko Serhii Volodymyrovych, Ph. D. (Tech.), Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, 49107, Ukraine. ORCID: 0000-0001-8344-961X. E-mail: sergeyvaschenko@yandex.ua

Baiul Kostiantyn Vasylovych, D. Sc. (Tech.), Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, 49107, Ukraine. ORCID: 0000-0003-1426-7956. E-mail: baiulkonstantin@gmail.com

Semenov Yurii Stanislavovych, Ph. D. (Tech.), Senior Researcher, Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Academican Starodubova Square, 1, Dnipro, 49107, Ukraine. ORCID: 0000-0003-2299-5742. E-mail: yuriy.semenov.isi@gmail.com

Krot Pavlo Viktorovych, Ph. D. (Tech.), Assistant Professor, Wrocław University of Science and Technology, Wybrzeże Stanisława Wyspiańskiego St., 27, Wrocław, 50370, Poland. ORCID 0000-0002-3347-3862

DEVELOPMENT OF THE UNIVERSAL METHOD FOR PREDICTING THE DENSITY OF BRIQUETTES FROM DRY FINE-FRACTIONAL MATERIALS BASED ON THE RESULTS OF A COMPARATIVE STUDY OF COMPRESSION FACTORS

Abstract. Most of the known models for predicting the density of powdered materials are empirical in nature and cannot be applied to a wide range of materials. In order to create a universal method for predicting density, a comparative study of the influence of technological factors on the compressibility of powders was performed in this paper, and the fundamental connections between compressibility and the physical and energy properties of the charge particles were established. Using the method of two-factor analysis of variance (two-way ANOVA), the influence of size and the nature of dry powder’s particles on the compression intensity factor was compared.  It was found that under conditions when the size of large and small particles differs by no more than one order of magnitude, the dominant factor affecting the compression of the powder is the characteristics of the nature of the particles. Reliable connections between the compressibility of powders and thermodynamic, thermal (melting point, heat of sublimation, etc.) and mechanical (Young’s modulus, shear modulus, hardness, etc.) properties of the particle substance have been obtained.  We also obtained statistical correlations between the compressibility of powders and the energy characteristics of the crystalline substance of the powder particles: the energy of the crystal ion lattice, the energy of atomization, and the energy of the core-electron interaction. The maximum closeness of correlation of the dependences is estimated by the Chaddock scale as high and very high. Based on the above dependencies, a multiple regression model of the combined effect of the energy and structural characteristics of the particles’ crystal lattice of on the compressibility of a powder was developed. The coefficient of determination of the model is 0.98. Also, using the obtained dependencies, a universal method for predicting the density of dry powder compacts depending on the applied pressing pressure was developed. The prediction error when applying the method does not exceed 9.5%.  The developed method can be used to perform, without conducting experimental studies, a preliminary assessment of the possibility of achieving the required briquette density, selecting technological modes, determining the energy and power characteristics of the process and technical characteristics of pressing equipment.

Key words: dry powder materials, prediction of briquette density, technological factors, particle size, physical properties of the particle, energy characteristics of the particle, two-factor analysis of variance.

DOI: https://doi.org/10.52150/2522-9117-2024-38-686-709

For citation: Khudyakov, O. Yu., Vashchenko, S. V., Baiul, K. V., Semenov, Yu. S., & Krot, P. V. (2024). Development of the universal method for predicting the density of briquettes from dry fine-fractional materials based on the results of a comparative study of compression factors / Fundamental and applied problems of ferrous metallurgy, 38, 686-709. https://doi.org/10.52150/2522-9117-2024-38-686-709.

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