Convective drying of regular mint leaves: analysis based on fitting empirical correlations, response surface methodology and neural networks
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidade Estadual de Maringá
2014
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| _version_ | 1876472123737767936 |
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| author | Ariany Binda Silva Costa |
| author_facet | Ariany Binda Silva Costa |
| contents | Convective drying of regular mint leaves: analysis based on fitting empirical correlations, response surface methodology and neural networks Ariany Binda Silva Costa Fábio Bentes Freire Maria do Carmo Ferreira José Teixeira Freire Ingeniería moisture content convective drying Mentha x villosa H kinetic parameters In the present work, an analysis of drying of peppermint (Menta x villosa H.) leaves has been made using empirical correlations, response surface models and a neural network model. The main goal was to apply different modeling approaches to predict moisture content and drying rates in the drying of leaves, and obtaining an overview on the subject. Experiments were carried out in a convective horizontal flow dryer in which samples were placed parallel to the air stream under operating conditions of air temperatures from 36 to 64°C, air velocities from 1.0 to 2.0 m s-1 and sample loads from 18 to 42 g, corresponding to sample heights of 1.4, 1.7 and 3.5 cm respectively. A complete 33 experimental design was used. Results have shown that the three methodologies employed in this work were complementary in the sense that they simultaneously provided a better understanding of leaves drying. 2014 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303230170011 en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Num.2 Vol.36 |
| format | Artículo científico |
| id | redalyc_303230170011 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Convective drying of regular mint leaves: analysis based on fitting empirical correlations, response surface methodology and neural networks Ariany Binda Silva Costa Ingeniería moisture content convective drying Mentha x villosa H kinetic parameters Convective drying of regular mint leaves: analysis based on fitting empirical correlations, response surface methodology and neural networks Ariany Binda Silva Costa Fábio Bentes Freire Maria do Carmo Ferreira José Teixeira Freire Ingeniería moisture content convective drying Mentha x villosa H kinetic parameters In the present work, an analysis of drying of peppermint (Menta x villosa H.) leaves has been made using empirical correlations, response surface models and a neural network model. The main goal was to apply different modeling approaches to predict moisture content and drying rates in the drying of leaves, and obtaining an overview on the subject. Experiments were carried out in a convective horizontal flow dryer in which samples were placed parallel to the air stream under operating conditions of air temperatures from 36 to 64°C, air velocities from 1.0 to 2.0 m s-1 and sample loads from 18 to 42 g, corresponding to sample heights of 1.4, 1.7 and 3.5 cm respectively. A complete 33 experimental design was used. Results have shown that the three methodologies employed in this work were complementary in the sense that they simultaneously provided a better understanding of leaves drying. 2014 artículo científico 1806-2563 https://www.redalyc.org/articulo.oa?id=303230170011 en http://www.redalyc.org/revista.oa?id=3032 Acta Scientiarum. Technology application/pdf Universidade Estadual de Maringá Acta Scientiarum. Technology (Brasil) Num.2 Vol.36 |
| title | Convective drying of regular mint leaves: analysis based on fitting empirical correlations, response surface methodology and neural networks |
| topic | Ingeniería moisture content convective drying Mentha x villosa H kinetic parameters |
| url | https://www.redalyc.org/articulo.oa?id=303230170011 |