Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations

Autores
Renaudo, Carlos Alberto; Bucala, Veronica; Bertin, Diego Esteban
Año de publicación
2023
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The effectiveness of agricultural spraying processes depends considerably on the ability of the atomized droplets to reach the target site in the desired amount. In this context, mathematical models are suitable tools to predict the deposition of agrochemicals based on process variables. There is still a need to improve the available models to produce more accurate predictions to define appropriate application conditions. The work describes the implementation and comparison of two mathematical models to study the behavior of atomized droplets. A 2D CFD model is used to calculate the trajectories of the droplets and determine their deposition distances, while a lagrangian random-walk (LRW) model is developed to predict the pulverization process of a nozzle. Both models take into account the effects of drag, gravity, buoyancy, and evaporation on individual droplets, as well as the impact of atmospheric stability and dispersion. By tracking a large number of trajectories, meaningful estimates of dispersal statistics can be obtained.
Fil: Renaudo, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Bucala, Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Bertin, Diego Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Wcce - 11Th World Congress of Chemical Engineering IACCHE; XXX Interamerican Congress of Engineering CAIQ2023; XI Argentinian Congress of Chemical Engineering CIBQ2023; II Iberoamerican Congress of Chemical Engineering "The Global Chemical Engineering Working For A Better Future World"
Buenos Aires
Argentina
Asociación Argentina de Ingenieros Químicos
Materia
SPRAY DRIFT
PRECISION AGRICULTURE
CFD SIMULATIONS
RANDOM-WALK MODEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/263220
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulationsRenaudo, Carlos AlbertoBucala, VeronicaBertin, Diego EstebanSPRAY DRIFTPRECISION AGRICULTURECFD SIMULATIONSRANDOM-WALK MODELhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The effectiveness of agricultural spraying processes depends considerably on the ability of the atomized droplets to reach the target site in the desired amount. In this context, mathematical models are suitable tools to predict the deposition of agrochemicals based on process variables. There is still a need to improve the available models to produce more accurate predictions to define appropriate application conditions. The work describes the implementation and comparison of two mathematical models to study the behavior of atomized droplets. A 2D CFD model is used to calculate the trajectories of the droplets and determine their deposition distances, while a lagrangian random-walk (LRW) model is developed to predict the pulverization process of a nozzle. Both models take into account the effects of drag, gravity, buoyancy, and evaporation on individual droplets, as well as the impact of atmospheric stability and dispersion. By tracking a large number of trajectories, meaningful estimates of dispersal statistics can be obtained.Fil: Renaudo, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Bucala, Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Bertin, Diego Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaWcce - 11Th World Congress of Chemical Engineering IACCHE; XXX Interamerican Congress of Engineering CAIQ2023; XI Argentinian Congress of Chemical Engineering CIBQ2023; II Iberoamerican Congress of Chemical Engineering "The Global Chemical Engineering Working For A Better Future World"Buenos AiresArgentinaAsociación Argentina de Ingenieros QuímicosWorld Chemical Engineering Council2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/263220Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations; Wcce - 11Th World Congress of Chemical Engineering IACCHE; XXX Interamerican Congress of Engineering CAIQ2023; XI Argentinian Congress of Chemical Engineering CIBQ2023; II Iberoamerican Congress of Chemical Engineering "The Global Chemical Engineering Working For A Better Future World"; Buenos Aires; Argentina; 2023; 1-6CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.wcce11.org/Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:15:49Zoai:ri.conicet.gov.ar:11336/263220instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:15:49.936CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations
title Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations
spellingShingle Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations
Renaudo, Carlos Alberto
SPRAY DRIFT
PRECISION AGRICULTURE
CFD SIMULATIONS
RANDOM-WALK MODEL
title_short Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations
title_full Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations
title_fullStr Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations
title_full_unstemmed Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations
title_sort Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations
dc.creator.none.fl_str_mv Renaudo, Carlos Alberto
Bucala, Veronica
Bertin, Diego Esteban
author Renaudo, Carlos Alberto
author_facet Renaudo, Carlos Alberto
Bucala, Veronica
Bertin, Diego Esteban
author_role author
author2 Bucala, Veronica
Bertin, Diego Esteban
author2_role author
author
dc.subject.none.fl_str_mv SPRAY DRIFT
PRECISION AGRICULTURE
CFD SIMULATIONS
RANDOM-WALK MODEL
topic SPRAY DRIFT
PRECISION AGRICULTURE
CFD SIMULATIONS
RANDOM-WALK MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The effectiveness of agricultural spraying processes depends considerably on the ability of the atomized droplets to reach the target site in the desired amount. In this context, mathematical models are suitable tools to predict the deposition of agrochemicals based on process variables. There is still a need to improve the available models to produce more accurate predictions to define appropriate application conditions. The work describes the implementation and comparison of two mathematical models to study the behavior of atomized droplets. A 2D CFD model is used to calculate the trajectories of the droplets and determine their deposition distances, while a lagrangian random-walk (LRW) model is developed to predict the pulverization process of a nozzle. Both models take into account the effects of drag, gravity, buoyancy, and evaporation on individual droplets, as well as the impact of atmospheric stability and dispersion. By tracking a large number of trajectories, meaningful estimates of dispersal statistics can be obtained.
Fil: Renaudo, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Bucala, Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Bertin, Diego Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Wcce - 11Th World Congress of Chemical Engineering IACCHE; XXX Interamerican Congress of Engineering CAIQ2023; XI Argentinian Congress of Chemical Engineering CIBQ2023; II Iberoamerican Congress of Chemical Engineering "The Global Chemical Engineering Working For A Better Future World"
Buenos Aires
Argentina
Asociación Argentina de Ingenieros Químicos
description The effectiveness of agricultural spraying processes depends considerably on the ability of the atomized droplets to reach the target site in the desired amount. In this context, mathematical models are suitable tools to predict the deposition of agrochemicals based on process variables. There is still a need to improve the available models to produce more accurate predictions to define appropriate application conditions. The work describes the implementation and comparison of two mathematical models to study the behavior of atomized droplets. A 2D CFD model is used to calculate the trajectories of the droplets and determine their deposition distances, while a lagrangian random-walk (LRW) model is developed to predict the pulverization process of a nozzle. Both models take into account the effects of drag, gravity, buoyancy, and evaporation on individual droplets, as well as the impact of atmospheric stability and dispersion. By tracking a large number of trajectories, meaningful estimates of dispersal statistics can be obtained.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/263220
Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations; Wcce - 11Th World Congress of Chemical Engineering IACCHE; XXX Interamerican Congress of Engineering CAIQ2023; XI Argentinian Congress of Chemical Engineering CIBQ2023; II Iberoamerican Congress of Chemical Engineering "The Global Chemical Engineering Working For A Better Future World"; Buenos Aires; Argentina; 2023; 1-6
CONICET Digital
CONICET
url http://hdl.handle.net/11336/263220
identifier_str_mv Droplet deposition of agrochemical spraying: comparison of results from a random-walk model and CFD simulations; Wcce - 11Th World Congress of Chemical Engineering IACCHE; XXX Interamerican Congress of Engineering CAIQ2023; XI Argentinian Congress of Chemical Engineering CIBQ2023; II Iberoamerican Congress of Chemical Engineering "The Global Chemical Engineering Working For A Better Future World"; Buenos Aires; Argentina; 2023; 1-6
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.wcce11.org/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv World Chemical Engineering Council
publisher.none.fl_str_mv World Chemical Engineering Council
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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