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Using computer simulation and computational fluid dynamics in analysis of temperature distribution in thermal sterilization process

Published: 20 April 2018 Publication History

Abstract

There is a large growing in the last years in using of mathematical modeling to analyze and predict the temperature distribution in the processing engineering. In this work, the analysis of temperature distribution during the sterilization of two liquid models in two dimensional cans was presented using computational fluid dynamics (CFD). The partial differential equations of continuity, energy, and momentum were solved numerically using a CFD software package (PHOENICS) version 3.5, which is based on finite volume method of analysis (FVM). All the physical properties of the liquid food used in this study were assumed constant except those for viscosity and density. The results of the simulations were presented in the form of transient temperature. The simulations show clearly the profile of temperature distribution during the whole process, the shapes and movement of the Slowest Heating Area (SHA), and the formation of the secondary flow.

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    cover image ACM Other conferences
    ICGDA '18: Proceedings of the International Conference on Geoinformatics and Data Analysis
    April 2018
    212 pages
    ISBN:9781450364454
    DOI:10.1145/3220228
    • Conference Chair:
    • Vit Vozenilek
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 20 April 2018

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    Author Tags

    1. CFD
    2. computer simulation
    3. sterilization
    4. temperature profile

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