| dc.contributor.author | Hernández, Borja | |
| dc.contributor.author | Pinto, Mark A. | |
| dc.contributor.author | Martín Martín, Mariano | |
| dc.date.accessioned | 2024-08-29T11:02:28Z | |
| dc.date.available | 2024-08-29T11:02:28Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Hernández, B., Pinto, M.A., Martín, M. (2022). Generation of a surrogate compartment model for counter-current spray dryer. Fluxes and momentum modeling. Computers & Chemical Engineering, 159. | es_ES |
| dc.identifier.issn | 0098-1354 | |
| dc.identifier.uri | http://hdl.handle.net/10366/159370 | |
| dc.description.abstract | [EN] This work presents the development of a reduced order compartment model for a counter-current spray
dryer. The compartment model is formulated using adaptable compartments and introducing the use of
correlations based on dimensionless groups. These correlations can capture the mean residence time they
but are unable to reproduce the variance of the entire residence time distribution (RTD). Limitations are
also observed in the evaluation of internal fluxes. The application of these correlations to a specific zone
requires the inclusion the geometrical modifications in any part of the unit. A small internal modification in one geometry not only modifies a zone, but also influences the remaining regions so that the
zones cannot be independently scaled-up. The methodology is complemented with an analysis of the
RTD showing that most of the dispersion generated takes place in the bottom cone. | es_ES |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Elsevier | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Compartment modeling | es_ES |
| dc.subject | CFD-DPM | es_ES |
| dc.subject | Scale-up | es_ES |
| dc.subject | Spray drying | es_ES |
| dc.title | Generation of a surrogate compartment model for counter-current spray dryer. Fluxes and momentum modeling | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.relation.publishversion | http://dx.doi.org/10.1016/j.compchemeng.2022.107664 | es_ES |
| dc.subject.unesco | 2303 Química Inorgánica | es_ES |
| dc.identifier.doi | 10.1016/j.compchemeng.2022.107664 | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| dc.journal.title | Computers & Chemical Engineering | es_ES |
| dc.volume.number | 159 | es_ES |
| dc.page.initial | 1 | es_ES |
| dc.page.final | 19 | es_ES |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es_ES |
| dc.description.project | Publicación en abierto financiada por la Universidad de Salamanca como participante en el Acuerdo Transformativo CRUE-CSIC con Elsevier, 2021-2024 | es_ES |