Sensitivity analysis of system condition, sample structure, and material property to radio frequency heating characteristics of multi-component rice using computer simulation

To accommodate the varying combinations of proportions, dosages, and flavors of multi-component rice products, a previously established computer model was used to systematically analyze the influence of three types of factors (system parameter, sample structure, and material property) on the radio frequency (RF) heating characteristics in a multi-component rice sample. The results demonstrated that the highest sensitivity (84.8 %) to the volumetric heating rate ( HR ) was found with the sample height with ±20 % variation. Electrode gap, loss factor ( ε” ), and sample height all showed influences on the temperature uniformity index ( TUI ) above 30 %. In addition, a high negative correlation was noted with equal degree between HR and TUI under the variation of the sausage diameter, which was contrary to most of the other parameters. This could be attributed to the enhanced and uniform absorption of RF energy by the whole sample, resulting in a more consistent heat generation. A controllable and adjusted TUI was achieved under a relatively constant HR in simulation with the rotation of the sausage cylindrical generatrix. The combination of the high sensitivity of the sample height and the positive effects of two aforesaid types of internal component shape was conducive to the subsequent scheme design to further improve the overall heating effect. The systematic sensitivity analysis for multi-component rice in this study could provide a theoretical basis and directional guidance for parameter optimization studies in RF heating treatments of other types of heterogeneous foods. • Validated model was systematically used to analyze parameter sensitivity on RF heating. • Sample height showed highest sensitivity on heating rate and uniformity index. • A high negative correlation between HR and TUI was observed for sausage diameter. • Sensitivity analysis provided directional guidance for RF heated heterogeneous foods.

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Publication Details

Journal
Innovative Food Science & Emerging Technologies
Published
2025-05-03
DOI
https://doi.org/10.1016/j.ifset.2025.104036
Citations
4
Primary Topic
Food composition and properties
Type
article
Field-Weighted Citation Impact
4.48
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article

Sensitivity analysis of system condition, sample structure, and material property to radio frequency heating characteristics of multi-component rice using computer simulation

Yingqi Tian, Hosahalli S. Ramaswamy, Shaojin Wang, Jinsong Zhang et al.
4 citations
Innovative Food Science & Emerging Technologies
Food composition and properties
4.48
article

Sensitivity analysis of system condition, sample structure, and material property to radio frequency heating characteristics of multi-component rice using computer simulation

Yingqi Tian, Hosahalli S. Ramaswamy, Shaojin Wang, Jinsong Zhang, Rui Li, Dongsheng Hu, Mengge Li
article en
4 citations

Abstract

To accommodate the varying combinations of proportions, dosages, and flavors of multi-component rice products, a previously established computer model was used to systematically analyze the influence of three types of factors (system parameter, sample structure, and material property) on the radio frequency (RF) heating characteristics in a multi-component rice sample. The results demonstrated that the highest sensitivity (84.8 %) to the volumetric heating rate ( HR ) was found with the sample height with ±20 % variation. Electrode gap, loss factor ( ε” ), and sample height all showed influences on the temperature uniformity index ( TUI ) above 30 %. In addition, a high negative correlation was noted with equal degree between HR and TUI under the variation of the sausage diameter, which was contrary to most of the other parameters. This could be attributed to the enhanced and uniform absorption of RF energy by the whole sample, resulting in a more consistent heat generation. A controllable and adjusted TUI was achieved under a relatively constant HR in simulation with the rotation of the sausage cylindrical generatrix. The combination of the high sensitivity of the sample height and the positive effects of two aforesaid types of internal component shape was conducive to the subsequent scheme design to further improve the overall heating effect. The systematic sensitivity analysis for multi-component rice in this study could provide a theoretical basis and directional guidance for parameter optimization studies in RF heating treatments of other types of heterogeneous foods. • Validated model was systematically used to analyze parameter sensitivity on RF heating. • Sample height showed highest sensitivity on heating rate and uniformity index. • A high negative correlation between HR and TUI was observed for sausage diameter. • Sensitivity analysis provided directional guidance for RF heated heterogeneous foods.

Innovative Food Science & Emerging TechnologiesVol. 103
McGill University (CA), Washington State University (US), Northwest A&F University (CN)
Openalex Percentile: Top 6%
Food composition and properties
4.48
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