MODELING OF A HOT AIR DRYING PROCESS BY USING ARTIFICIAL NEURAL NETWORK METHOD

Autor/autori: Ahmet DURAK, Ugur AKYOL


Abstract: In this study, firstly, experimental drying behavior of polyester yarn bobbin was determined under different drying conditions, then a suitable artificial neural networks model, simulating polyester yarn drying process, have been revealed by the using obtained data. Then the model results were compared with both the experimental data and the empirical models available in literature. The results obtained by the method of artificial neural networks indicate that the modeling results are highly agreeable with the experimental ones

Keywords: drying, heat and mass transfer, yarn, polyester

 

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