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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66806

Modelling and Simulation in Food Packaging

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66806

Volume:

10 |

8 |

Aug 2026

Pages:

1-15

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

CHHAYA

CHHAYA

Department of Food Technology

GJUS&T, HIsar, Haryana

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Abstract

Packaging plays a vital and indispensable role in the food processing industry. It not only helps extend the shelf life of food products but also serves as a powerful tool for marketing and consumer engagement. Designing an effective food package is a complex task that requires careful consideration of multiple factors influencing the product during storage, transportation, and handling. The design must also meet consumer expectations while ensuring the desired shelf-life extension. In recent years, modeling and simulation techniques have emerged as advanced, reliable, and efficient tools for food package design. These methods surpass traditional trial-and-error approaches by providing data-driven insights. Various modeling techniques—such as deterministic chemical safety modeling, physics-based modeling, and life cycle assessment (LCA) modeling are used to optimize package performance and sustainability. The deterministic chemical safety model focuses on the physicochemical interactions between food and packaging materials, including migration behaviour, temperature effects, and water activity. Physics-based models employ Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) to evaluate mechanical forces, structural stability, heat transfer, and fluid flow. Meanwhile, LCA modeling assesses the environmental impact of packaging systems, supporting the development of sustainable materials and processes. Although these techniques are faster, more reliable, and cost-effective than conventional methods, they require skilled expertise, accurate data, and careful setup for optimal performance.

KEYWORDS

Packaging modeling simulation computational fluid dynamics finite elemental analysis life assessment cycle

Cite This Article

CHHAYA, "Modelling and Simulation in Food Packaging," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-15, Aug 2026.

Full Article/Conclusion

Modeling and simulation have revolutionized modern food packaging design by enabling data-driven, efficient, and sustainable solutions. These techniques integrate chemical, physical, and environmental analyses to optimize package performance, safety, and longevity while minimizing material use and ecological impact. By replacing traditional trial-and-error methods, modeling tools not only reduce development costs and time but also improve prediction accuracy. However, their successful implementation depends on precise data input, robust computational models, and expert interpretation. As the food industry continues to evolve, the integration of these advanced modeling approaches will play a central role in achieving smart, safe, and sustainable packaging innovations.

References

·          Bremenkamp, I., & Sousa Gallagher, M. J. (2024). Life cycle assessment methods for investigating novel food packaging systems. Environmental Science: Advances, 3(10), 1337–1350. https://doi.org/10.1039/D3VA00380A ·          Bunkar, D. S., Jha, A., Mahajan, A., & Unnikrishnan, V. S. (2014a). Kinetics of changes in shelf life parameters during storage of pearl millet based kheer mix and development of a shelf life prediction model. Journal of Food Science and Technology, 51(12), 3740–3748. https://doi.org/10.1007/s13197-012-0892-8 ·          Bunkar, D. S., Jha, A., Mahajan, A., & Unnikrishnan, V. S. (2014b). Kinetics of changes in shelf life parameters during storage of pearl millet based kheer mix and development of a shelf life prediction model. Journal of Food Science and Technology, 51(12), 3740–3748. https://doi.org/10.1007/s13197-012-0892-8 ·          Datta, A. K. (2008). Status of Physics‐Based Models in the Design of Food Products, Processes, and Equipment. Comprehensive Reviews in Food Science and Food Safety, 7(1), 121–129. https://doi.org/10.1111/j.1541-4337.2007.00030.x ·          Eslami, E., Carpentieri, S., Pataro, G., & Ferrari, G. (2025). Comparative Life Cycle Assessment (LCA) of Packaging Materials for Tomato-Based Products to Pave the Way for Increasing Tomato Processing Industry Sustainability. Sustainability, 17(8), 3648. https://doi.org/10.3390/su17083648 ·          Fadiji, T., Berry, T. M., Ambaw, A., Coetzee, C., & Opara, U. L. (2018). Finite element analysis (FEA) – an effective and efficient design tool in food packaging industries: a review. Acta Horticulturae, 1201, 245–252. https://doi.org/10.17660/ActaHortic.2018.1201.33 ·          Fadiji, T., Coetzee, C. J., Berry, T. M., Ambaw, A., & Opara, U. L. (2018). The efficacy of finite element analysis (FEA) as a design tool for food packaging: A review. Biosystems Engineering, 174, 20–40. https://doi.org/10.1016/j.biosystemseng.2018.06.015

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Publication Date

8/17/2026

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Double-Blind Peer Review

Review Rounds: 2

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