Investigation of Temperature Field Evolution in Pangasius Fillets during Freezing

https://doi.org/10.56741/IISTR.esl.002436

Authors

  • Hoang Thi Nam Huong Ho Chi Minh City University of Technology
  • Do Huu Hoang Ho Chi Minh City University of Industry and Trade

Keywords:

Finite Element Method, Freezing, Pangasius Fillet, Temperature Field Evolution, Transient Heat Conduction

Abstract

This study investigates the spatial and temporal evolution of temperature within Pangasius fillets during freezing using a finite element model of two-dimensional nonlinear transient heat conduction with phase change and convective boundary conditions. The model was implemented in ANSYS for a representative fillet cross-section and simulated under an air temperature of −40 °C and air velocity of 10 m/s. Temperature histories at 25 representative nodes were analyzed to characterize local freezing behavior and identify differences between surface and interior regions. The results reveal three characteristic stages: rapid precooling toward 0 °C, a phase-change period dominated by latent heat release, and subsequent sensible cooling after freezing is completed. Surface and corner regions cooled substantially faster than interior locations because of stronger convective heat transfer, while the geometric center exhibited the longest freezing delay. The maximum thermal delay between the corner and center occurred near −3 °C, reaching approximately 800 s, and decreased as the temperature approached the fully frozen state. Below approximately −18 to −20 °C, temperature-time curves exhibited increasingly similar slopes, indicating completion of phase change. These findings demonstrate that temperature-field analysis can support reliable freezing-time prediction and provide a quantitative basis for optimizing operating conditions, energy efficiency, and product quality.

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Author Biographies

Hoang Thi Nam Huong, Ho Chi Minh City University of Technology

Hoang Thi Nam Huong
Thermal and Refrigeration Technology Department
Ho Chi Minh City University of Technology
Ho Chi Minh City, Viet Nam

htnhuong@hcmut.edu.vn

Do Huu Hoang, Ho Chi Minh City University of Industry and Trade

Faculty of Chemical Engineering
Ho Chi Minh City University of Industry and Trade
Ho Chi Minh City, Viet Nam

References

H. H. Đỗ, Numerical Simulation and Determination of Optimal Freezing Conditions for Vietnamese Pangasius, Ph.D. dissertation, Hanoi University of Science and Technology, Hanoi, Vietnam, 2014.

A. C. Cleland and R. L. Earle, “A comparison of analytical and numerical methods of predicting the freezing times of foods,” J. Food Sci., vol. 42, pp. 1390–1395, 1977. DOI: https://doi.org/10.1111/j.1365-2621.1977.tb14506.x

A. C. Cleland and R. L. Earle, “Predicting freezing times of food in rectangular packages,” J. Food Sci., vol. 44, pp. 964–970, 1979. DOI: https://doi.org/10.1111/j.1365-2621.1979.tb03423.x

A. K. Fleming, “Immersion freezing small meat products,” in Proc. 12th Int. Congr. Refrigeration, Madrid, Spain, vol. 2, 1967, pp. 683–694.

C. Lacroix and F. Castaigne, “Simple method for freezing time calculations for infinite flat slabs, infinite cylinders and spheres,” Can. Inst. Food Sci. Technol. J., vol. 20, pp. 251–259, 1987. DOI: https://doi.org/10.1016/S0315-5463(87)71196-1

W. F. Stoecker, Industrial Refrigeration Handbook. New York, NY, USA: McGraw-Hill, 2004, ch. 17, pp. 567–589.

J. Succar and K. Hayakawa, “Parametric analysis for predicting freezing time of infinitely slab-shaped food,” J. Food Sci., vol. 49, pp. 468–477, 1984. DOI: https://doi.org/10.1111/j.1365-2621.1984.tb12444.x

Q. T. Pham, “An approximate analytical method for predicting freezing times for rectangular blocks of foodstuffs,” Int. J. Refrig., vol. 8, pp. 3–47, 1985. DOI: https://doi.org/10.1016/0140-7007(85)90143-4

Q. T. Pham, “Extension to Plank’s equation for predicting freezing times of foodstuffs of simple shapes,” Int. J. Refrig., vol. 7, pp. 377–383, 1984. DOI: https://doi.org/10.1016/0140-7007(84)90008-2

R. Plank, “Beiträge zur Berechnung und Bewertung der Gefriergeschwindigkeit von Lebensmitteln,” Zeitschrift für die gesamte Kälte-Industrie, Beih. Reihe 3, no. 10, pp. 1–16, 1941.

R. H. Mascheroni and A. Calvelo, “A simplified model for freezing time calculations in foods,” J. Food Sci., vol. 47, pp. 1201–1207, 1982. DOI: https://doi.org/10.1111/j.1365-2621.1982.tb07648.x

R. W. Lewis, P. Nithiarasu, and K. N. Seetharamu, Fundamentals of the Finite Element Method for Heat and Fluid Flow. Chichester, U.K.: John Wiley & Sons, 2004, pp. 154–170. DOI: https://doi.org/10.1002/0470014164

A. Avadí, I. Vázquez-Rowe, A. Symeonidis, and E. Moreno-Ruiz, “First series of seafood datasets in ecoinvent: Setting the pace for future development,” Int. J. Life Cycle Assess., vol. 25, no. 7, pp. 1333–1342, 2020, doi: 10.1007/s11367-019-01659-x. DOI: https://doi.org/10.1007/s11367-019-01659-x

Z. Huan, S. He, and Y. Ma, “Numerical simulation and analysis for quick-frozen food processing,” J. Food Eng., vol. 60, no. 3, pp. 267–273, 2023. DOI: https://doi.org/10.1016/S0260-8774(03)00047-5

F.-L. Tan and S.-C. Fok, “Freezing of tilapia fillets in an air blast freezer,” Int. J. Food Sci. Technol., vol. 44, no. 8, pp. 1619–1625, 2009. DOI: https://doi.org/10.1111/j.1365-2621.2009.01930.x

J. Dima, M. Santos, P. Baron, A. Califano, and N. Zaritzky, “Experimental study and numerical modeling of the freezing process of marine products,” Food Bioprod. Process., vol. 92, no. 1, pp. 54–66, 2014. DOI: https://doi.org/10.1016/j.fbp.2013.07.012

H. T. T. Dang, M. Gudjónsdóttir, T. Tómasson, M. V. Nguyen, M. G. Karlsdóttir, and S. Arason, “Influence of processing additives, packaging and storage conditions on the physicochemical stability of frozen Tra catfish (Pangasius hypophthalmus) fillets,” J. Food Eng., vol. 238, pp. 148–155, 2018. DOI: https://doi.org/10.1016/j.jfoodeng.2018.06.021

P. Ye, K. Luo, A. Feng, D. Zhao, D. Wang, X. Lin, and Z. Liu, “Magnetic field improves the quality of frozen tilapia fillets by decreasing the ice crystals during freezing process,” Int. J. Food Sci. Technol., vol. 59, no. 12, pp. 8961–8971, 2024. DOI: https://doi.org/10.1111/ijfs.17357

A. Biglia, L. Comba, E. Fabrizio, P. Gay, and D. R. Aimonino, “Case studies in food freezing at very low temperature,” Energy Procedia, vol. 101, pp. 305–312, 2016, doi: 10.1016/j.egypro.2016.11.039. DOI: https://doi.org/10.1016/j.egypro.2016.11.039

H. H. Do, P. Q. Dang, and D. V. Nguyen, “Determining the time to freeze catfish by applying the finite element analysis,” in Proc. 3rd Int. Conf. Sustainable Energy, 2013.

H. H. Do and T. N. H. Hoang, “Evaluation of factors influencing the freezing time of the Pangasius fillets,” in Lecture Notes in Mechanical Engineering. Springer, 2022, pp. 12–28. DOI: https://doi.org/10.1007/978-981-19-1968-8_2

V. V. Sim, H. H. Do, and T. N. H. Hoang, “Simulation of beef freezing process and evaluation of influencing factors,” Appl. Mech. Mater., vol. 914, pp. 83–94, 2023. DOI: https://doi.org/10.4028/p-1686s7

D. K. Hoang, S. J. Lovatt, J. R. Olatunji, and J. K. Carson, “Experimental measurement and numerical modelling of cooling rates of bulk-packed chicken drumsticks during forced-air freezing,” Int. J. Refrig., vol. 114, pp. 165–174, 2020. DOI: https://doi.org/10.1016/j.ijrefrig.2020.03.012

D. K. Hoang, S. J. Lovatt, J. R. Olatunji, and J. K. Carson, “Validated numerical model of heat transfer in the forced air freezing of bulk packed whole chickens,” Int. J. Refrig., vol. 118, pp. 93–103, 2020. DOI: https://doi.org/10.1016/j.ijrefrig.2020.06.015

V. V. Sim and H. H. Hoàng, “Mô phỏng cấp đông thịt heo nửa con bằng Ansys,” Tạp chí Năng lượng Nhiệt, no. 156, pp. 10–16, 2021.

Published

2026-08-03

How to Cite

Huong, H. T. N., & Hoang, D. H. (2026). Investigation of Temperature Field Evolution in Pangasius Fillets during Freezing. Engineering Science Letter, 5(02), 174–181. https://doi.org/10.56741/IISTR.esl.002436

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