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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F25%3A43927216" target="_blank" >RIV/62156489:43210/25:43927216 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.5219/scifood.38" target="_blank" >https://doi.org/10.5219/scifood.38</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5219/scifood.38" target="_blank" >10.5219/scifood.38</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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&apos;s criterion. The resulting second-degree polynomial models enabled prediction of optimal granulation parameters: moisture content of 18.9%, steam pressure of 0.31 MPa, and 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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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&apos;s criterion. The resulting second-degree polynomial models enabled prediction of optimal granulation parameters: moisture content of 18.9%, steam pressure of 0.31 MPa, and 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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

40201 - Animal and dairy science; (Animal biotechnology to be 4.4)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Scifood

ISSN

2989-4034

e-ISSN

2989-4034

Svazek periodika

19

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

14

Strana od-do

412-425

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-105012258245