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Multiscale Modeling for Food Drying: State of the Art
Authors:Zachary Welsh  Matthew J Simpson  Md Imran H Khan  M A Karim
Affiliation:1. School of Chemistry, Physics, and Mechanical Engineering, Queensland Univ. of Technology, Brisbane, Australia;2. School of Mathematical Sciences, Queensland Univ. of Technology, Brisbane, Australia;3. The Department of Mechanical Engineering, Dhaka Univ. of Engineering & Technology, Gazipur, Bangladesh
Abstract:Plant‐based food materials are mostly porous in nature and heterogeneous in structure with huge diversity in cellular orientation. Different cellular environments of plant‐based food materials, such as intercellular, intracellular, and cell wall environments, hold different proportions of water with different characteristics. Due to this structural heterogeneity, it is very difficult to understand the drying process and associated morphological changes during drying. Transport processes and morphological changes that take place during drying are mainly governed by the characteristics of and the changes in the cells. Therefore, to predict the actual heat and mass transfer process that occurs in the drying process and associated morphological changes, development of multiscale modeling is crucial. Multiscale modeling is a powerful approach with the ability to incorporate this cellular structural heterogeneity with microscale heat and mass transfer during drying. However, due to the huge complexity involved in developing such a model for plant‐based food materials, the studies regarding this issue are very limited. Therefore, we aim in this article to develop a critical conceptual understanding of multiscale modeling frameworks for heterogeneous food materials through an extensive literature review. We present a critical review on the multiscale model formulation and solution techniques with their spatial and temporal coupling options. Food structure, scale definition, and the current status of multiscale modeling are also presented, along with other key factors that are critical to understanding and developing an accurate multiscale framework. We conclude by presenting the main challenges for developing an accurate multiscale modeling framework for food drying.
Keywords:food drying  heat and mass transfer  homogenization  multigrid analysis  multiscale modeling
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