Bültmann & Gerriets
Mathematical Modeling and Numerical Techniques in Drying Technology
von Arun S. Mujumdar, Ian Turner
Verlag: CRC Press
Gebundene Ausgabe
ISBN: 978-0-8247-9818-5
Erschienen am 19.09.1996
Sprache: Englisch
Format: 235 mm [H] x 157 mm [B] x 42 mm [T]
Gewicht: 1144 Gramm
Umfang: 696 Seiten

Preis: 559,00 €
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Inhaltsverzeichnis
Klappentext

Fundamentals: a synopsis of the strategies and efficient resolution techniques used for modelling and numerically simulating the drying process; the use of macroscopic equations to simulate heat and mass transfer in porous media; modelling and simulating simultaneous liquid and vapour transport in partially saturated porous materials. Drying wood: high- temperature kiln drying of softwood timber: the role of mathematical modelling; modelling the effect of heterogeneity on wood drying; a numerical prediction of the effect of airflow and wet bulb temperature on the stress development during convective wood drying. Drying of granular and particulate solids: modelling heat and mass transfer in coupled systems during absorption and desorption; finite element modelling of grain drying; a mathematical model for constant and intermittent batch drying of grains in a novel rotating jet spouted bed; theoretical study of heat and mass transfer during frying of granular products; modelling convective drying of granular materials application to natural rubber. Miscellaneous applications: mathematical modelling of dielectrically-enhanced drying; mathematical models for the primary and secondary drying stages of the freeze-drying of pharmaceutical on trys and in vials; a model for superheated steam drying of particles in an impinging stream dryer; mathematical modelling of kiln and on-site drying of concrete; mathematical modelling and numerical techniques for multi-cylinder paper dryers.



Offers information necessary for the development of mathematical models and numerical techniques to solve specific drying problems. The book addresses difficult issues involved with the drying equations of numerical analysis, including mesh generation, discretization strategies, the nonlinear equation set and the linearized algebraic system, convergence criteria, time step control, experimental validation, optimum methods of visualization results, and more.


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