Modelling head loss along emitting pipes using dimensional analysis

Detalhes bibliográficos
Autor(a) principal: Perboni,Acácio
Data de Publicação: 2015
Outros Autores: Frizzone,Jose A., Camargo,Antonio P. de, Pinto,Marinaldo F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000300442
Resumo: Local head losses must be considered in estimating properly the maximum length of drip irrigation laterals. The aim of this work was to develop a model based on dimensional analysis for calculating head loss along laterals accounting for in-line drippers. Several measurements were performed with 12 models of emitters to obtain the experimental data required for developing and assessing the model. Based on the Camargo & Sentelhas coefficient, the model presented an excellent result in terms of precision and accuracy on estimating head loss. The deviation between estimated and observed values of head loss increased according to the head loss and the maximum deviation reached 0.17 m. The maximum relative error was 33.75% and only 15% of the data set presented relative errors higher than 20%. Neglecting local head losses incurred a higher than estimated maximum lateral length of 19.48% for pressure-compensating drippers and 16.48% for non pressure-compensating drippers.
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spelling Modelling head loss along emitting pipes using dimensional analysismicroirrigationlateral linemaximum lengthLocal head losses must be considered in estimating properly the maximum length of drip irrigation laterals. The aim of this work was to develop a model based on dimensional analysis for calculating head loss along laterals accounting for in-line drippers. Several measurements were performed with 12 models of emitters to obtain the experimental data required for developing and assessing the model. Based on the Camargo & Sentelhas coefficient, the model presented an excellent result in terms of precision and accuracy on estimating head loss. The deviation between estimated and observed values of head loss increased according to the head loss and the maximum deviation reached 0.17 m. The maximum relative error was 33.75% and only 15% of the data set presented relative errors higher than 20%. Neglecting local head losses incurred a higher than estimated maximum lateral length of 19.48% for pressure-compensating drippers and 16.48% for non pressure-compensating drippers.Associação Brasileira de Engenharia Agrícola2015-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000300442Engenharia Agrícola v.35 n.3 2015reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-Eng.Agric.v35n3p442-457/2015info:eu-repo/semantics/openAccessPerboni,AcácioFrizzone,Jose A.Camargo,Antonio P. dePinto,Marinaldo F.eng2016-07-20T00:00:00Zoai:scielo:S0100-69162015000300442Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2016-07-20T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv Modelling head loss along emitting pipes using dimensional analysis
title Modelling head loss along emitting pipes using dimensional analysis
spellingShingle Modelling head loss along emitting pipes using dimensional analysis
Perboni,Acácio
microirrigation
lateral line
maximum length
title_short Modelling head loss along emitting pipes using dimensional analysis
title_full Modelling head loss along emitting pipes using dimensional analysis
title_fullStr Modelling head loss along emitting pipes using dimensional analysis
title_full_unstemmed Modelling head loss along emitting pipes using dimensional analysis
title_sort Modelling head loss along emitting pipes using dimensional analysis
author Perboni,Acácio
author_facet Perboni,Acácio
Frizzone,Jose A.
Camargo,Antonio P. de
Pinto,Marinaldo F.
author_role author
author2 Frizzone,Jose A.
Camargo,Antonio P. de
Pinto,Marinaldo F.
author2_role author
author
author
dc.contributor.author.fl_str_mv Perboni,Acácio
Frizzone,Jose A.
Camargo,Antonio P. de
Pinto,Marinaldo F.
dc.subject.por.fl_str_mv microirrigation
lateral line
maximum length
topic microirrigation
lateral line
maximum length
description Local head losses must be considered in estimating properly the maximum length of drip irrigation laterals. The aim of this work was to develop a model based on dimensional analysis for calculating head loss along laterals accounting for in-line drippers. Several measurements were performed with 12 models of emitters to obtain the experimental data required for developing and assessing the model. Based on the Camargo & Sentelhas coefficient, the model presented an excellent result in terms of precision and accuracy on estimating head loss. The deviation between estimated and observed values of head loss increased according to the head loss and the maximum deviation reached 0.17 m. The maximum relative error was 33.75% and only 15% of the data set presented relative errors higher than 20%. Neglecting local head losses incurred a higher than estimated maximum lateral length of 19.48% for pressure-compensating drippers and 16.48% for non pressure-compensating drippers.
publishDate 2015
dc.date.none.fl_str_mv 2015-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000300442
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000300442
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-Eng.Agric.v35n3p442-457/2015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.35 n.3 2015
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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