Simultaneous optimal estimation of roughness and minor loss coefficients in a pipeline

This paper presents a proposal to estimate simultaneously, through nonlinear optimization, the roughness and head loss coefficients in a non-straight pipeline. With the proposed technique, the calculation of friction is optimized by minimizing the fitting error in the Colebrook–White equation for an...

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Detalhes bibliográficos
Autores: Santos Ruiz, Ildeberto de los, López Estrada, Francisco Ronay, Puig Cayuela, Vicenç|||0000-0002-6364-6429, Valencia Palomo, Guillermo
Formato: artículo
Fecha de publicación:2020
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/333811
Acesso em linha:https://hdl.handle.net/2117/333811
https://dx.doi.org/10.3390/mca25030056
Access Level:acceso abierto
Palavra-chave:Mathematical optimization
Pipelines
Nonlinear optimization
Turbulent flow
Friction factor
Pipe roughness
Minor losses.
Optimització matemàtica
Canonades
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Descrição
Resumo:This paper presents a proposal to estimate simultaneously, through nonlinear optimization, the roughness and head loss coefficients in a non-straight pipeline. With the proposed technique, the calculation of friction is optimized by minimizing the fitting error in the Colebrook–White equation for an operating interval of the pipeline from the flow and pressure measurements at the pipe ends. The proposed method has been implemented in MATLAB and validated in a serpentine-shaped experimental pipeline by contrasting the theoretical friction for the estimated coefficients obtained from the Darcy–Weisbach equation for a set of steady-state measurements.