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Article

CFD–FEM Coupled Thermal Response Analysis and MATLAB-Based Operating Condition Screening for Edible Kelp Infrared Drying

1
Department of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian 116034, China
2
SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Dalian Polytechnic University, Dalian 116034, China
3
Department of Key Laboratory of Marine Food Processing Technology and Equipment of Liaoning Province, Dalian Polytechnic University, Dalian 116034, China
4
College of Arts & Information Engineering, Dalian Polytechnic University, Dalian 116499, China
*
Authors to whom correspondence should be addressed.
Processes 2026, 14(9), 1382; https://doi.org/10.3390/pr14091382
Submission received: 1 April 2026 / Revised: 21 April 2026 / Accepted: 23 April 2026 / Published: 25 April 2026
(This article belongs to the Section Food Process Engineering)

Abstract

This study presents an application-oriented CFD–FEM integrated workflow for analyzing chamber-side field non-uniformity and kelp-side thermal response during infrared drying. A three-dimensional steady-state CFD model was first established to reconstruct the chamber temperature, airflow, and incident radiation fields under certain operating conditions. Numerical consistency was checked through residual convergence; monitored variables; and global mass balance, for which the net mass imbalance was 0.004077 kg s−1. The reconstructed mid-plane fields were then processed in MATLAB to extract the mean values, extrema, and coefficients of variation, and a composite objective function was used to screen the tested operating conditions in terms of field uniformity, temperature band compliance, and overheating risk. The thermal loads obtained via CFD were subsequently mapped onto a kelp finite element model to simulate the transient surface temperature evolution. Among the tested cases, case01 yielded the lowest composite objective value (J = 0.4535); its mapped kelp response showed a mean surface temperature of 62.23 °C and a maximum temperature of 63.57 °C at the exported time step. The proposed framework is therefore suitable for thermal response assessment and operating condition screening, although determining the full drying behavior still requires coupling of moisture transfer and improved experimental validation.
Keywords: kelp; infrared drying; load mapping; finite element simulation; CFD; operating condition screening kelp; infrared drying; load mapping; finite element simulation; CFD; operating condition screening

Share and Cite

MDPI and ACS Style

Song, K.; Ji, X.; Zhang, H.; Lu, H.; Feng, Y.; Han, Q. CFD–FEM Coupled Thermal Response Analysis and MATLAB-Based Operating Condition Screening for Edible Kelp Infrared Drying. Processes 2026, 14, 1382. https://doi.org/10.3390/pr14091382

AMA Style

Song K, Ji X, Zhang H, Lu H, Feng Y, Han Q. CFD–FEM Coupled Thermal Response Analysis and MATLAB-Based Operating Condition Screening for Edible Kelp Infrared Drying. Processes. 2026; 14(9):1382. https://doi.org/10.3390/pr14091382

Chicago/Turabian Style

Song, Kai, Xu Ji, Hengyuan Zhang, Haolin Lu, Yiran Feng, and Qiaosheng Han. 2026. "CFD–FEM Coupled Thermal Response Analysis and MATLAB-Based Operating Condition Screening for Edible Kelp Infrared Drying" Processes 14, no. 9: 1382. https://doi.org/10.3390/pr14091382

APA Style

Song, K., Ji, X., Zhang, H., Lu, H., Feng, Y., & Han, Q. (2026). CFD–FEM Coupled Thermal Response Analysis and MATLAB-Based Operating Condition Screening for Edible Kelp Infrared Drying. Processes, 14(9), 1382. https://doi.org/10.3390/pr14091382

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