Dried product quality improvement by air flow manipulation in tray dryers

Margaris, Dionissios P.; Ghiaus, Adrian-Gabriel

doi:10.1016/j.jfoodeng.2005.04.037

Cited by 50 publications

(24 citation statements)

References 5 publications

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“…Most of the research in batch drying processes has targeted the effect of temperature and air velocity as primary influencing parameters for the quality of dried products while the lack of uniformity in air flow is a crucial factor. Taking air distribution as primary design parameter has been the main objective in past few research (Adams and Thompson, 1985;Ayensu and Asiedu-Bondzie, 1986;Mathioulakis et al, 1998;Kiranoudis et al, 1999;Shawik et al, 2001;Mirade, 2003;Babalis et al, 2005;Margaris and Ghiaus, 2006;Gül ah and Cengiz, 2009;Amanlou and Zomorodian, 2010;Jacek et al, 2010;Tzempelikos et al, 2012;Darabi et al, 2013). Therefore, the design of airflow is one of the most important factors in batch type dryers.…”

Section: Introductionmentioning

confidence: 99%

Spatial homogeneity of drying in a batch type food dryer with diagonal air flow design

Amjad¹,

Munir

Esper³

et al. 2015

Journal of Food Engineering

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Section: Introductionmentioning

confidence: 99%

Spatial homogeneity of drying in a batch type food dryer with diagonal air flow design

Amjad¹,

Munir

Esper³

et al. 2015

Journal of Food Engineering

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“…Dionissios and Adrian-Gabriel Ghious [2] studied the numerical simulation inside a drying chamber. A set of measurements was obtained experimentally above one single tray to validate the model.…”

Section: Introductionmentioning

confidence: 99%

The Prediction of Drying Uniformity in Tray Dryer System using CFD Simulation

Misha¹,

Mat²,

Ruslan³

et al. 2013

IJMLC

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Abstract-Tray dryer is the most extensively used because of its simple and economic design. In a tray dryer, more products can be loaded as the trays are arranged at different levels. The product is spread out on trays at an acceptable thickness. The drawback of this dryer is non-uniformity in the desired moisture content of end product due to poor air flow distribution in the drying chamber. Computational fluid dynamics (CFD) is used extensively because of its capability to solve equations for the conservation of mass, momentum, and energy using numerical methods to predict the temperature, velocity, and pressure profiles. This research is to predict drying uniformity of new design of the commercial tray dryer for agricultural product. The temperature and velocity profile, streamline and velocity on each tray were analyzed to study the uniformity of the drying. The 3D simulation is done to represent the actual model. Generally the temperatures are considered uniform for all trays. However the average air velocity at several trays which is at tray number 1, 7, 8 and 15 are much higher than others tray. The rest of the trays are look more uniform. The average air velocity above the tray is about 0.38 m/s.

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“…The developed CFD model was able to predict airflow patterns based on the filling level, although there was still a wide discrepancy between the measured and simulated air velocities. Margaris and Ghiaus (Margaris & Ghiaus, 2006) used CFD to optimize the tray arrangement and inlet configuration within a tray-drying chamber. Conjugate models of convective drying of a porous flat plate were explored and investigated (Defraeye, Blocken, & Carmeliet, 2012;Lamnatou, Papanicolaou, Belessiotis, & Kyriakis, 2010), although these studies did not include an external heat source such as solar radiation and assumed incompressible flow.…”

Section: Lit Er At Ure R Ev Iewmentioning

confidence: 99%

An integrated heat-transfer-fluid-dynamics-mass-transfer model for evaluating solar-dryer designs

Akamphon

Sukkasi

Sedchaicharn

2018

J Food Process Preserv

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This work aims to facilitate the design‐improvement process of solar dryers by a computational model that accounts for the interrelationships between the conditions of the drying product (temperature and moisture content), the airflow inside the dryer (temperature, humidity, and velocity), and the surrounding conditions (temperature, humidity, and solar radiation). The model considers not only how the dryer and surrounding affect the drying of the product but also how the conditions of the product itself affect the conditions of the airflow inside the dryer and, by extension, its performance as well. To account for such intricate interrelationships, the model leverages and integrates three physical domains: fluid dynamics, heat transfer, and mass transfer. The model automatically simulates the natural convection inside the dryer and eliminates the need for obtaining the experimental values of the temperature, humidity, and velocity of the internal airflow for calculating the moisture level of the product. It can be used to quantify the effects of mixed‐mode solar dryer designs on their drying performance. Simulated results were validated against experimental data and found to be reasonably accurate. Moreover, the model offers insights into how the complex airflow inside the dryer can affect the drying of the product. Practical applications Experiments that are required to understand, compare, and improve the drying performance of different solar dryer designs can be impractical because of long operation time of solar drying and variability of weather conditions, making a typical design process time‐consuming. This work aims to facilitate the design‐improvement process. The model can quantify the effects of mixed‐mode solar dryer designs on their drying performance. The model can also offer useful insights for solar‐dryer designers. For instance, results from a case study show that the velocity and humidity of the internal airflow could have stronger influence than that of the temperature on the drying, suggesting that a solar dryer design that aims only to maximize airflow temperature may not lead to optimal drying, and that airflow temperature should not be used as the sole benchmark for solar dryer design.

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Dried product quality improvement by air flow manipulation in tray dryers

Cited by 50 publications

References 5 publications

Spatial homogeneity of drying in a batch type food dryer with diagonal air flow design

Spatial homogeneity of drying in a batch type food dryer with diagonal air flow design

The Prediction of Drying Uniformity in Tray Dryer System using CFD Simulation

An integrated heat-transfer-fluid-dynamics-mass-transfer model for evaluating solar-dryer designs

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