Empirical and diffusion models of rehydration process of differently dried pumpkin slices

Benseddik, A.; Aberqi, Ahmed; Zidoune, Mohammed Nasreddine; Khanniche, R.; Besombes, Colette

doi:10.1016/j.jssas.2018.01.003

Cited by 45 publications

(62 citation statements)

References 52 publications

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“…Fitting quality of the smoothing spline interpolation used on the data obtained by mathematical model was evaluated by means of statistical tests: The coefficient of determination (R 2 ), sum of square error ( ), and root mean square error ( ). These parameters can be calculated as follows [55,56]:…”

Section: Error Analysismentioning

confidence: 99%

Simulation study of solar air collector with offset strip fin absorber plate for drying agricultural products in a semi-arid climate

Benseddik¹,

Aberqi²,

Khanniche³

et al. 2018

IJHT

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In this current contribution, a parametric investigation of air flow rate at the inlets of solar air collector was carried out. Through a developed Matlab code effort was made to show the effect of the air flow rate on solar collector outlet temperature. From the simulation results a database of outlet temperature and corresponding flow rate variation with time was created. Then, isotherm contours were deduced and plotted. For drying temperature kept constant at a given value regardless the meteorological conditions fluctuation, the flow rate variation with time was fitted by smoothing spline function. The simulation study was done for three different meteorological scenarios: Clear sky day, partly cloudy day and cloudy day. It has been found also that drying with variable flow rate at optimum temperature equal to 50 ±1°C the amount of air that was aspired at the inlet was 1207.8 kg. By contrast, drying with constant flow rate a total 625.5kg of air was aspired and it might result in fluctuation in drying temperature which affects the dried product quality. Thus variable flow rate allows a gain ratio in the aspired air amount of 93% and better product quality. This is valid for clear sky day. In case of partly and cloudy day, flow rate gain ratio was 104% and 78% respectively.

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Section: Error Analysismentioning

confidence: 99%

Simulation study of solar air collector with offset strip fin absorber plate for drying agricultural products in a semi-arid climate

Benseddik¹,

Aberqi²,

Khanniche³

et al. 2018

IJHT

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“…This parameter is usually determined from experimental drying curves. The solution of Fick's second law in cubic geometry, with the assumptions of moisture migration being by diffusion, unidimensional moisture movement, negligible shrinkage, constant diffusion coefficients and constant temperature [19][20][21]:…”

Section: Calculation Of Effective Moisture Diffusivitymentioning

confidence: 99%

Mathematical modelling of diced konjac corms drying in a fluidised bed dryer

2020

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Konjac glucomannan (KGM) can be obtained from tubers (called corms) of various species within the Amorphophallus genus. Among the most popular species for use in food industry is Buk Nuea Sai (Amorphophallus muelleri), a native species in Thailand. Drying process can be helpful in preserving KGM during long storage periods. However, the existing drying systems are often slow and lead to drying delays and subsequently quality reduction of the dried product. Given the economic importance of KGM, new, more efficient drying systems, have to be developed. The present study focuses on the drying kinetics of konjac dices in a fluidized bed, operating at a constant air velocity of 2.5 m/s and air temperatures of 50, 60, and 70 °C. Six empirical mathematical models were selected to describe and compare the drying characteristics of konjac dices subjected to these conditions. The model coefficients were determined by non-linear regression analysis. Among the tested models used to describe the drying kinetics of konjac dices, the two-term model was found as the best one. The moisture loss from the dice was described by the Fick's diffusion equation, and based on the obtained results the effective moisture diffusivity was estimated, getting a value in the range between 9.60526 ⋅ 10-9 m 2 /s and 1.2006 ⋅ 10 −7 m 2 /s. The relationship between the temperature and the effective moisture diffusivity was described adequately by means of Arrhenius-type equation. An activation energy value between 8.65 kJ/mol and 61.28 kJ/mol was obtained. The findings allow the successful simulation of konjac dice drying in a fluidized bed between 50 and 70 °C, 30-60 mm bed height and 6-15 mm dice thickness.

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“…The achievement of a better understanding of rehydration processes seems to be crucial for the quality improvement of both dehydrated and rehydrated products, as well as for the production of new products (Seguí et al, 2013). Many researchers claim that the drying method used has the most significant impact on the rehydration process (Benseddik et al, 2018;Lewicki and Wiczkowska, 2006;Said et al, 2015;Stępień, 2008).…”

Section: Introductionmentioning

confidence: 99%

Modelling of dried apple rehydration indices using ANN

Górnicki¹,

Kaleta²,

Trajer³

2019

Int. Agrophys.

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The purpose of the research was to study the effect of different drying and rehydration conditions on the rehydration indices of apple and to model the rehydration indices of apple using artificial neural networks. The research involved the examination of the rehydration process of 10 mm apple cubes, which were dried in natural convection (drying air velocity), forced convection and fluidization at the following drying temperatures 50, 60 and 70°C. The process of rehydration was conducted in distilled water at the following temperatures 20, 45, 70 and 95°C. Five rehydration indices were used to express rehydration. Artificial neural networks (MLP 3-5-1 and MLP 3-4-1) were used to make the rehydration indices dependent on both drying and rehydration parameters: drying temperatures, v and following temperatures. Five statistical tools, i.e. correlation coefficient, mean bias error, root mean square error, reduced chi-square, and t-statistic method (t-stat), were applied to determine the fit. To identify critical parameters and their impact on the ANN outputs, a sensitivity analysis (backward stepwise method) was performed. K e y w o r d s: rehydration, rehydration indices, apple, quality, ANN

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Empirical and diffusion models of rehydration process of differently dried pumpkin slices

Cited by 45 publications

References 52 publications

Simulation study of solar air collector with offset strip fin absorber plate for drying agricultural products in a semi-arid climate

Simulation study of solar air collector with offset strip fin absorber plate for drying agricultural products in a semi-arid climate

Mathematical modelling of diced konjac corms drying in a fluidised bed dryer

Modelling of dried apple rehydration indices using ANN

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