Mathematical modeling and optimization of the granulation process of biomass-based products with potential applications in the feed and food industries

Authors

  • Azhar Amantayeva Almaty Technological University, Department of Technology of bread products and processing industries Furkat str., 348/4, 050012, Almaty, Republic of Kazakhstan, Tel.: +7 707 728 88 17 Author https://orcid.org/0000-0002-8606-830X
  • Zheksenkul Alimkulov Kazakh Research Institute of Processing and Food Industry, laboratory of feed technology, Y. Gagarin st, 238G, 050060, Almaty Republic of Kazakhstan, Tel.: +7 701 726 18 66 Author https://orcid.org/0000-0002-0427-7192
  • Nurgul Batyrbayeva Almaty Technological University, Department of Technology of bread products and processing industries Furkat str., 348/4, 050012, Almaty, Republic of Kazakhstan, Tel.: +7 707 871 18 38 Author https://orcid.org/0000-0001-8258-5353
  • Eva Mrkvicová Mendel University, Department of Animal Nutrition and Forage Production, Zemědělská str., 1665/1, 61300, Brno, Czech Republic, Tel.: +420 731 454 367 Author https://orcid.org/0000-0002-2504-5024
  • Maya Bektursunova Kazakh Research Institute of Processing and Food Industry, laboratory of feed technology, Y. Gagarin st, 238G, 050060, Almaty Republic of Kazakhstan, Tel.: +7 747 136 47 79 Author https://orcid.org/0000-0002-5105-4864
  • Kyzdygoy Shayliyeva Kazakh Research Institute of Processing and Food Industry, laboratory of feed technology, Y. Gagarin st, 238G, 050060, Almaty Republic of Kazakhstan, Tel.: +707 227 98 88 Author https://orcid.org/0000-0002-5659-2223
  • Kuldariha Fazulova Kazakh Research Institute of Processing and Food Industry, laboratory of feed technology, Y. Gagarin st, 238G, 050060, Almaty Republic of Kazakhstan, Tel.: +707 728 96 36 Author https://orcid.org/0000-0003-1885-5309

DOI:

https://doi.org/10.5219/scifood.38

Keywords:

modeling, steam pressure, granulation, feed, cattle

Abstract

This study aimed to develop and validate a mathematical model for optimizing the granulation process of compound feed for cattle, with a focus on minimizing pellet crumbliness and specific energy consumption. A two-factor central composite design was used to evaluate the effects of feed mixture moisture, granulation temperature, steam pressure, and energy input. The crumbliness index was selected as the primary quality indicator. Experimental data were processed using Microsoft Excel 2010 and Statistica 10, and model adequacy was assessed using Fisher’s criterion. The resulting second-degree polynomial models enabled the prediction of optimal granulation parameters: a moisture content of 18.9%, a steam pressure of 0.31 MPa, and an energy consumption of 8.3 kWh/t, corresponding to a pellet crumbliness of 22%. The application of mathematical modeling proved effective in enhancing product quality by enabling real-time control of key technological factors. These findings support the use of optimized granulation parameters in industrial feed production to improve efficiency and reduce material losses.

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Published

2025-07-21

Issue

Vol. 19 (2025): Scifood

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Copyright (c) 2025 Azhar Amantayeva, Zheksenkul Alimkulov , Nurgul Batyrbayeva, Eva Mrkvicová, Maya Bektursunova, Kyzdygoy Shayliyeva, Kuldariha Fazulova (Author)

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How to Cite

Mathematical modeling and optimization of the granulation process of biomass-based products with potential applications in the feed and food industries. (2025). Scifood, 19(1), 412-425. https://doi.org/10.5219/scifood.38

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