Comparison between Thin-Layer Models and Non-Traditional Methods in the Modelling of Drying Kinetics of Crustacean Wastes

Abstract This research aims to compare the classical thin-layer models, stepwise fit regression method (SRG) and artificial neural networks (ANN) in the modelling of drying kinetics of shrimp shell and crab exoskeleton. Thus, drying curves were obtained using a convective dryer (3.0 m/s) at temperat...

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Bibliographic Details
Published in:Brazilian Archives of Biology and Technology 2021-01, Vol.64
Main Authors: Martins, Thais Serra, Sousa, Thiago Sousa e, Sales, Victor Hugo Gomes, Bandeira, Maria da Gloria Almeida, Higuita, Diana Maria Cano, Vélez, Harvey Alexander Villa
Format: Article
Language:English
Subjects:
artificial neural network
crab exoskeleton
mathematical modelling
shrimp shell
statistical validation
stepwise fit regression
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Summary:Abstract This research aims to compare the classical thin-layer models, stepwise fit regression method (SRG) and artificial neural networks (ANN) in the modelling of drying kinetics of shrimp shell and crab exoskeleton. Thus, drying curves were obtained using a convective dryer (3.0 m/s) at temperatures of 30.45 and 60oC. The results showed a decreasing tendency for the drying time as the temperature increased for both materials. Drying curves modelling of both materials showed fitted results with R 2 adj >0.998 and MRE
ISSN:1516-8913
1678-4324
DOI:10.1590/1678-4324-2021210130