Thin-Layer Drying of Flax Fiber: II. Modeling Drying Process Using Semi-Theoretical and Empirical Models

Ghazanfari, Ahmad; Emami, Shahram; Tabil, Lope G.; Panigrahi, S.

doi:10.1080/07373930601031463

Cited by 72 publications

(25 citation statements)

References 10 publications

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“…An increase in the air temperature and air velocity resulted in an increase in the drying rate and consequently a decrease in the drying time. Previous studies have reported similar trends (Ertekin and Yaldiz, 2004;Fritzell et al, 2009;Ghazanfari et al, 2006). As can be seen, drying rate at the initial stage of the drying period is rather low, which may be due to the activation energy and increase of the temperature of wood water content.…”

Section: Eksperimenti Kinetike Sušenjasupporting

confidence: 66%

“…Ceylan (2008) investigated the drying characteristic of poplar and pine timbers in a heat pump dryer, but there is no information available on thin layer drying of poplar wood particles. Laboratory based modeling is needed to characterize the thin layer drying process of poplar wood particles, as full scale studies are both expensive and time consuming (Ghazanfari et al, 2006). Therefore, the objectives of this study were to investigate the drying characteristics of poplar wood particles in a hot air convective thin layer dryer and fi t the best model for the drying performance of poplar wood particles.…”

Section: Sažetak • Pri Različitim Uvjetima Sušenja Provedeno Je Sušenmentioning

confidence: 99%

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Drying Kinetics of Poplar (Populus Deltoides) Wood Particles by a Convective Thin Layer Dryer

2012

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Section: Eksperimenti Kinetike Sušenjasupporting

confidence: 66%

Section: Sažetak • Pri Različitim Uvjetima Sušenja Provedeno Je Sušenmentioning

confidence: 99%

Drying Kinetics of Poplar (Populus Deltoides) Wood Particles by a Convective Thin Layer Dryer

2012

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“…Generally, to describe water transport inside food, a mathematical model is used and, among them, the following can be cited: models based on Darcy's laws (Pinheiro et al ., ); empirical models (Turhan et al ., ; Akpinar & Bicer, ; Ghazanfari et al ., ; Sutar & Prasad, ; Ganesapillai et al ., ; Roberts et al ., ; Silva et al ., ; Vega‐Gálvez et al ., ; Hii et al ., ; Diamante et al ., ; Kaleta & Górnicki, ; Bantle et al ., ); and diffusion models (Vega‐Gálvez et al ., ; Silva et al ., , , ; Boeri et al ., ; Mundada et al ., ; Yildirim et al ., ). To describe water transport kinetics through a diffusion model, the initial and boundary conditions must be known.…”

Section: Introductionmentioning

confidence: 98%

Empirical and diffusion models to describe water transport into chickpea (Cicer arietinum L.)

Silva

Sousa

et al. 2012

Int J of Food Sci Tech

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Summary To describe water transport in a porous media, a mathematical model is usually used. Among the models available in the literature, empirical and diffusive ones can be cited. In this paper, Page and diffusion models are used to describe drying and soaking of chickpea. In addition, new empirical equation is proposed to describe the mentioned processes. According to the results, the two empirical models well describe drying and soaking, but the proposed one gives the best statistical indicators. The use of the diffusion model to describe the drying process makes it possible to determine the effective diffusivities (7.13 × 10−11, 10.39 × 10−11 and 13.78 × 10−11 m2 s−1 for the drying air at 40, 50 and 60 °C, respectively) and also the activation energy associated with the process (27.9 kJ mol−1).

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“…Although SB biomass exhibits potential as a biosorbent, it needs to be dried before use to remove its high moisture content to avoid microorganism growth and biodegradation [15]. The process of drying high moisture materials is complex, involving simultaneous mass and heat transfer [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…The process of drying high moisture materials is complex, involving simultaneous mass and heat transfer [15,16]. Fick's Law of Diffusion describes drying organic materials, where effective moisture diffusivity (D eff ) represents the conductive term of all mass transfer mechanisms [17,18].…”

Section: Introductionmentioning

confidence: 99%

Assessment of drying temperature of sugarcane bagasse on sorption of reactive blue 5G dye

Scheufele

Ribeiro²,

Módenes³

et al. 2015

Fibers Polym

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We studied the effect of drying temperature of sugarcane bagasse (SB) on sorption of reactive blue 5G (RB5G) dye to test whether SB is a suitable biosorbent for industrial dye removal. First we assessed a set of SB characteristics that could influence the sorption capacity of dried biomass. Kinetic drying of the SB biomass was measured at different drying temperatures, ranging from 30 o C to 80 o C. We used a static gravimetric method to perform equilibrium moisture sorption experiments at drying temperatures of 35-65 o C. In addition, we measured activation energy and net isosteric heat of sorption. SB biomass was characterized as a heterogeneous low-porous and hygroscopic material, with a series of functional groups on its surface. A Lewis thin-layer model best represented the kinetic drying data. In addition, moisture diffusion into the SB biomass was characterized by a rate-controlling step in the drying process. Equilibrium moisture sorption data showed the expected effects of temperature controlling the sorption capacity and a multilayer sorption process. A sigmoidal sorption isotherm data was best represented by a BET model. A high energy demand is required for moisture removal from biomass as suggested by the measured isosteric heat of moisture sorption. Drying temperature did not influence the RB5G adsorption capacity of bagasse, therefore any drying temperature in the range of 30 o C to 80 o C could be used to make this material feasible as an industrial adsorbent.

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Thin-Layer Drying of Flax Fiber: II. Modeling Drying Process Using Semi-Theoretical and Empirical Models

Cited by 72 publications

References 10 publications

Drying Kinetics of Poplar (Populus Deltoides) Wood Particles by a Convective Thin Layer Dryer

Drying Kinetics of Poplar (Populus Deltoides) Wood Particles by a Convective Thin Layer Dryer

Empirical and diffusion models to describe water transport into chickpea (Cicer arietinum L.)

Assessment of drying temperature of sugarcane bagasse on sorption of reactive blue 5G dye

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