Numerical Analysis on Heat/Mass Transfer in the Roasting Beef Steaks

Abstract In this study, electrical parameters were viewed as a tool for nondestructive technology of beef moisture content. This study investigated the effects of voltage (0–5 V) and frequency (0–500 kHz.) on the electrical properties of beef. According to the relationship between beef moisture content and electrical parameters, optimal fitting parameters were identified. The model used a combination of capacitance and impedance parameters to predict the endpoint moisture content during roasting with an error of only 0.44%. The prediction model (R2 = 0.993) based on dielectric spectral features was established. Moreover, a heat and mass transfer model for the beef roasting process was established by multiphysics simulations. The values from the experimental and simulated data show strong R2 and root-mean-square error (RMSE). This study not only provides a novel process monitoring method for meat processing but also pioneers a new paradigm for dynamic analysis of food microstructure based on dielectric properties.

Authors

Institutions

Publication Details

Journal
Journal of Thermal Science and Engineering Applications
Published
2025-12-22
DOI
https://doi.org/10.1115/1.4070733
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Analysis on Heat/Mass Transfer in the Roasting Beef Steaks

X. Wang, X Jia, Yu Zhang, Jinyang Zhang et al.
Journal of Thermal Science and Engineering Applications
Food Drying and Modeling
article

Numerical Analysis on Heat/Mass Transfer in the Roasting Beef Steaks

X. Wang, X Jia, Yu Zhang, Jinyang Zhang, Jiaxin Zheng, Ping Chang, T. F. Cui
article en

Abstract

Abstract In this study, electrical parameters were viewed as a tool for nondestructive technology of beef moisture content. This study investigated the effects of voltage (0–5 V) and frequency (0–500 kHz.) on the electrical properties of beef. According to the relationship between beef moisture content and electrical parameters, optimal fitting parameters were identified. The model used a combination of capacitance and impedance parameters to predict the endpoint moisture content during roasting with an error of only 0.44%. The prediction model (R2 = 0.993) based on dielectric spectral features was established. Moreover, a heat and mass transfer model for the beef roasting process was established by multiphysics simulations. The values from the experimental and simulated data show strong R2 and root-mean-square error (RMSE). This study not only provides a novel process monitoring method for meat processing but also pioneers a new paradigm for dynamic analysis of food microstructure based on dielectric properties.

Journal of Thermal Science and Engineering ApplicationsVol. 18(6)
Jilin University (CN), Jilin Agricultural Science and Technology University (CN)
Openalex Percentile: Top 36%
Food Drying and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.