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Record W4407313323 · doi:10.1016/j.ifset.2025.103949

Computer simulation analysis to improve radio frequency heating uniformity of multi-component rice samples by screening of sample structure

2025· article· en· W4407313323 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInnovative Food Science & Emerging Technologies · 2025
Typearticle
Languageen
FieldEngineering
TopicAgricultural Engineering and Mechanization
Canadian institutionsMcGill University
FundersKey Technology Research and Development Program of ShandongNational Natural Science Foundation of China
KeywordsComponent (thermodynamics)Sample (material)Radio frequencyBiological systemComputer scienceMaterials scienceTelecommunicationsPhysicsBiologyChemistryChromatography

Abstract

fetched live from OpenAlex

Ready to eat multi-component foods are getting increasingly popular in diet modern formulations, but requires an efficient reheating method that results in rapid and uniform heating of the designed food sample. In this study, a computer simulation model based on commercial COMSOL software was developed for the efficient operation of a custom-built small-scale 50 Ω radio frequency (RF) heating system. The reliability of the simulation model was first verified using RF heating of two types of single-component samples (cooked rice and sausage) at different electrode gaps. Subsequently, the pre-validated model was used to explore the heating effects of multi-component rice schemes with the same volume and different shapes. A relatively synchronized heating procedure was developed for the formulated sample with the transformation from cube to cylinder which was characterized by the migration of the relatively high and low temperature regions. The RF heating of a comprehensive sample structure design was simulated. The experimental results showed that a better heating uniformity (lower λ = 0.044) and relatively high energy efficiency ( η = 70.5%) were obtained in the verified IR30-ER40 scheme as compared to the two types of single-component cuboid samples. This study of controlling the absorption and utilization of RF energy in various parts (component and location) for the multi-component sample scheme with a systematic structure design can provide some useful guidance in improving heating uniformity of multi-component food products. • A computer model for an RF heating system was established for multi-component rice schemes. • More uniform heating was expected in sample shape transformation from cuboid to cylinder. • IR30-ER40 scheme was expected to have better RF heating uniformity, shorter process time, and higher energy efficiency. • Effective and feasible RF heating configuration for multi-component food could be obtained through a systematic study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.346
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.011
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.251
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it