Modelling the Drying Kinetics of Apple (Golab Variety): Fractional Calculus vs Semi-empirical Models

In this work, two novel models have been proposed based on semi-empirical and factional calculus incorporating non-integer time derivatives in the Fick’s first law of anomalous diffusion. The experimental data has been collected from literature of 15 kinetics investigated in a convective dryer under...

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Main Authors: Abdelkader Mahdad, Maamar Laidi, Salah Hanini, Mohamed Hentabli, Mohamed Benhelal
Format: Article
Language:English
Published: Croatian Society of Chemical Engineers 2021-05-01
Series:Kemija u Industriji
Subjects:
Online Access:http://silverstripe.fkit.hr/kui/assets/Uploads/3-251-262-KUI-5-6-2021.pdf
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author Abdelkader Mahdad
Maamar Laidi
Salah Hanini
Mohamed Hentabli
Mohamed Benhelal
author_facet Abdelkader Mahdad
Maamar Laidi
Salah Hanini
Mohamed Hentabli
Mohamed Benhelal
author_sort Abdelkader Mahdad
collection DOAJ
description In this work, two novel models have been proposed based on semi-empirical and factional calculus incorporating non-integer time derivatives in the Fick’s first law of anomalous diffusion. The experimental data has been collected from literature of 15 kinetics investigated in a convective dryer under the effect of temperatures ranging from 40 to 80 °C at 10 °C interval, and thickness of the slices of 2 to 6 mm at 2 mm interval. The collected experimental dataset was of apple slices (Golab variety). Results from this study were compared with a set of 64 thin-layer drying models previously published in the literature. The fitting capability of the models was compared using the mean of root mean square error MRMSE (%) of all kinetics and the global determination coefficient R2. All models’ constants and coefficients were optimised by dragonfly algorithm programmed in MATLAB software. Results showed that the fractional model is highly capable of describing the drying curve of the apple slices with a determination coefficient (R2) of 0.99981, and average root mean square error (MRMSE) of 0.43 % in comparison to the best empirical models with R2 of 0.99968 and MRMSE of 0.61 %.
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spelling doaj.art-c4d4900bde08445bb3e5f26ce4f7eb852022-12-21T18:59:29ZengCroatian Society of Chemical EngineersKemija u Industriji0022-98301334-90902021-05-01705-625126210.15255/KUI.2020.051Modelling the Drying Kinetics of Apple (Golab Variety): Fractional Calculus vs Semi-empirical ModelsAbdelkader Mahdad0Maamar Laidi1Salah Hanini2Mohamed Hentabli3Mohamed Benhelal4Laboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, Médéa, AlgeriaLaboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, Médéa, AlgeriaLaboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, Médéa, AlgeriaLaboratory Quality Control, Physico-Chemical Department, Antibiotical Saidal of Médéa, AlgeriaLaboratory of Biomaterials and Transport Phenomena (LBMPT), University of Médéa, Médéa, AlgeriaIn this work, two novel models have been proposed based on semi-empirical and factional calculus incorporating non-integer time derivatives in the Fick’s first law of anomalous diffusion. The experimental data has been collected from literature of 15 kinetics investigated in a convective dryer under the effect of temperatures ranging from 40 to 80 °C at 10 °C interval, and thickness of the slices of 2 to 6 mm at 2 mm interval. The collected experimental dataset was of apple slices (Golab variety). Results from this study were compared with a set of 64 thin-layer drying models previously published in the literature. The fitting capability of the models was compared using the mean of root mean square error MRMSE (%) of all kinetics and the global determination coefficient R2. All models’ constants and coefficients were optimised by dragonfly algorithm programmed in MATLAB software. Results showed that the fractional model is highly capable of describing the drying curve of the apple slices with a determination coefficient (R2) of 0.99981, and average root mean square error (MRMSE) of 0.43 % in comparison to the best empirical models with R2 of 0.99968 and MRMSE of 0.61 %.http://silverstripe.fkit.hr/kui/assets/Uploads/3-251-262-KUI-5-6-2021.pdfthin-layer solar dryingfractional calculussemi-empirical modellingapple slices
spellingShingle Abdelkader Mahdad
Maamar Laidi
Salah Hanini
Mohamed Hentabli
Mohamed Benhelal
Modelling the Drying Kinetics of Apple (Golab Variety): Fractional Calculus vs Semi-empirical Models
Kemija u Industriji
thin-layer solar drying
fractional calculus
semi-empirical modelling
apple slices
title Modelling the Drying Kinetics of Apple (Golab Variety): Fractional Calculus vs Semi-empirical Models
title_full Modelling the Drying Kinetics of Apple (Golab Variety): Fractional Calculus vs Semi-empirical Models
title_fullStr Modelling the Drying Kinetics of Apple (Golab Variety): Fractional Calculus vs Semi-empirical Models
title_full_unstemmed Modelling the Drying Kinetics of Apple (Golab Variety): Fractional Calculus vs Semi-empirical Models
title_short Modelling the Drying Kinetics of Apple (Golab Variety): Fractional Calculus vs Semi-empirical Models
title_sort modelling the drying kinetics of apple golab variety fractional calculus vs semi empirical models
topic thin-layer solar drying
fractional calculus
semi-empirical modelling
apple slices
url http://silverstripe.fkit.hr/kui/assets/Uploads/3-251-262-KUI-5-6-2021.pdf
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AT salahhanini modellingthedryingkineticsofapplegolabvarietyfractionalcalculusvssemiempiricalmodels
AT mohamedhentabli modellingthedryingkineticsofapplegolabvarietyfractionalcalculusvssemiempiricalmodels
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