<b>Evaluation of semi-empirical and non-linear drying models by Bayesian inference

Autores

  • Ricardo C. de Oliveira Universidade Estadual de Maringá
  • Robson Marcelo Rossi Universidade Estadual de Maringá
  • Marcelino Luis Gimenes Universidade Estadual de Maringá
  • Sueli T. D. de Barros Universidade Estadual de Maringá

DOI:

https://doi.org/10.4025/actascitechnol.v36i4.12691

Palavras-chave:

passion fruit seeds, drying, diffusivity, Lewis model

Resumo

Current analysis investigates thin layer drying experiments on passion fruit seeds. Drying characteristics of passion fruit seeds were examined using ambient air for temperature range between 40 and 65ºC and air flow velocity range between 0.6 and 1.2 m s-1. The semi-empirical models were then fitted to the drying data by Bayesian inference, based on the ratios of the difference between the initial and final moisture contents and equilibrium moisture content. The effective diffusivity varied between 1.70 x 10-10 and 4.68 x 10-10 m2 s-1 with temperature and air flow rate increase. Temperature dependence on the diffusivity coefficient was described by an Arrhenius-type relationship. The activation energy for moisture diffusion was 24.36, 35.24 and 13.86 kJ moL-1 for drying air speeds respectively equal to 0.6, 0.9 and 1.2 m s-1.

 

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Biografia do Autor

Ricardo C. de Oliveira, Universidade Estadual de Maringá

ualmente é professor do Colégio Nobel e professor da Universidade Estadual de Maringá. Tem experiência na área de Engenharia Quí­mica, atuando principalmente nos seguintes temas: microfiltração, pervaporação e reologia Currí­culo Lattes

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Publicado

2014-09-12

Como Citar

Oliveira, R. C. de, Rossi, R. M., Gimenes, M. L., & Barros, S. T. D. de. (2014). <b>Evaluation of semi-empirical and non-linear drying models by Bayesian inference. Acta Scientiarum. Technology, 36(4), 635–641. https://doi.org/10.4025/actascitechnol.v36i4.12691

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Seção

Engenharia Quí­mica

 

0.8
2019CiteScore
 
 
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus

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