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Effect of thermal property model selection on the accuracy of a one-dimensional numerical solution for the forced air chilling and freezing of food products.

Number: 0248

Author(s) : HOANG D. K., CARSON J. K.

Summary

Optimisation of the refrigerating system for food processing requires accurate prediction of the processing time, product temperature distributions, and heat flow. The accuracy of model predictions depends strongly on the accuracy of the thermal property data used, regardless of the modelling methodology. This paper explores the influences of thermal property models on chilling and freezing time prediction accuracy of a simple, numerical heat transfer model based on a one-dimensional solution approach for three-dimensional objects. It is concluded that the additive effective specific heat model and Dul’nev and Novikov thermal conductivity model provide the greatest prediction accuracy when incorporated into the heat transfer model. Predicted results showed good agreement with experimentally measured temperature profiles when applied to a single block of cheese during chilling and a single plastic-wrapped whole chicken during freezing.

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Pages: 12

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Details

  • Original title: Effect of thermal property model selection on the accuracy of a one-dimensional numerical solution for the forced air chilling and freezing of food products.
  • Record ID : 30031332
  • Languages: English
  • Subject: Technology
  • Source: Proceedings of the 26th IIR International Congress of Refrigeration: Paris , France, August 21-25, 2023.
  • Publication date: 2023/08/21
  • DOI: http://dx.doi.org/10.18462/iir.icr.2023.0248

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