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Heat and Mass Transfer Modelling During Drying - Empirical to Multiscale Approaches (Hardcover)
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Heat and Mass Transfer Modelling During Drying - Empirical to Multiscale Approaches (Hardcover)
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Most conventional dryers use random heating to dry diverse
materials without considering their thermal sensitivity and energy
requirements for drying. Eventually, excess energy consumption is
necessary to attain a low-quality dried product. Proper heat and
mass transfer modelling prior to designing a drying system for
selected food materials can overcome these problems. Heat and Mass
Transfer Modelling During Drying: Empirical to Multiscale
Approaches extensively discusses the issue of predicting energy
consumption in terms of heat and mass transfer simulation. A
comprehensive mathematical model can help provide proper insight
into the underlying transport phenomena within the materials during
drying. However, drying of porous materials such as food is one of
the most complex problems in the engineering field that is also
multiscale in nature. From the modelling perspective, heat and mass
transfer phenomena can be predicted using empirical to multiscale
modelling. However, multiscale simulation methods can provide a
comprehensive understanding of the physics of drying food
materials. KEY FEATURES Includes a detailed discussion on material
properties that are relevant for drying phenomena Presents an
in-depth discussion on the underlying physics of drying using
conceptual visual content Provides appropriate formulation of
mathematical modelling from empirical to multiscale approaches
Offers numerical solution approaches to mathematical models
Presents possible challenges of different modelling strategies and
potential solutions The objective of this book is to discuss the
implementation of different modelling techniques ranging from
empirical to multiscale in order to understand heat and mass
transfer phenomena that take place during drying of porous
materials including foods, pharmaceutical products, paper, leather
materials, and more.
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