2009
DOI: 10.1002/ceat.200800543
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Experimental Validation of Thin‐layer Drying Models

Abstract: The present work was aimed at investigating the applicability of the proposed correlation equations that link the coefficients of the thin-layer equations. Materials of different properties were chosen and dried in four types of laboratory dryers. The experimental data were approximated applying the commonest thinlayer equations: the Lewis equation, the modified Page's model, and Fick's second law. The best match was achieved with the modified Page's model. The applicability of the stated literature correlatio… Show more

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Cited by 15 publications
(14 citation statements)
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“…The empirical parameter n makes Page's equation a two parameter model. This parameter could change with initial moisture content or drying conditions to carry out to a better fitting (Jayas et al, ; Sander & Kardum, ).…”
Section: Resultsmentioning
confidence: 99%
“…The empirical parameter n makes Page's equation a two parameter model. This parameter could change with initial moisture content or drying conditions to carry out to a better fitting (Jayas et al, ; Sander & Kardum, ).…”
Section: Resultsmentioning
confidence: 99%
“…Many mathematical models, e.g. [5][6][7], are available in literature for simulating various categories of adsorbent and drying systems, each considered in isolation. Although both processes are well-understood, very few models are available that show systematically the interactions between them and how system energy efficiency is affected.…”
Section: Introductionmentioning
confidence: 99%
“…[i.e. [40][41][42][43][44][45][46][47][48][49][50][51] Application of thin layer drying models to textile drying has only appeared in the studies of Akyol et al [52,53] where the drying behaviour of viscose and wool yarns was investigated, respectively. Thus, to the best of the authors' knowledge, thin layer drying modelling of textile materials in fabric form has been carried out for the first time in this study.…”
Section: Modelling Of Drying Curves At Standard Atmospheric Conditionsmentioning
confidence: 99%