Analysis of fluid velocity inside an agricultural sprayer using generalized linear mixed models

Aguirre, Ángel J. ; Guevara-Viera, Guillermo E. ; Torres-Inga, Carlos S. ; Guevara-Viera, Raúl V. ; Boné, Antonio (Universidad de Zaragoza) ; Vidal, Mariano (Universidad de Zaragoza) ; García-Ramos, Francisco Javier (Universidad de Zaragoza)

Resumen: The fluid velocity inside the tank of agricultural sprayers is an indicator of the quality of the mixture. This study aims to formulate the best generalized linear mixed model to infer the fluid velocity inside a tank under specific operational parameters of the agitation system, such as liquid level, circuit pressures, and number of active nozzles. A complex model was developed that included operational parameters as fixed eects (FE) and the section of the tank as the random eect. The goodness of fit of the model was evaluated by considering the lowest values of Akaike''s information criteria and Bayesian information criterion, and by estimating the residual variance. The gamma distribution and log-link function enhanced the goodness of fit of the best model. The Toeplitz structure was chosen as the structure of the covariance matrix. SPSS and SAS software were used to compute the model. The analysis showed that the greatest influence on the fluid velocity was exerted by the liquid level in the tank, followed by the circuit pressure and, finally, the number of active nozzles. The development presented here could serve as a guide for formulating models to evaluate the eciency of the agitation system of agricultural sprayers.

Idioma: Inglés

DOI: 10.3390/app10155029

Año: 2020

Publicado en: APPLIED SCIENCES-BASEL 10, 15 (2020), 5029 [18 pp.]
ISSN: 2076-3417

Originalmente disponible en: Texto completo de la revista

Factor impacto JCR: 2.679 (2020)

Categ. JCR: PHYSICS, APPLIED rank: 73 / 160 = 0.456 (2020) - Q2 - T2
Categ. JCR: ENGINEERING, MULTIDISCIPLINARY rank: 38 / 91 = 0.418 (2020) - Q2 - T2
Categ. JCR: CHEMISTRY, MULTIDISCIPLINARY rank: 101 / 178 = 0.567 (2020) - Q3 - T2
Categ. JCR: MATERIALS SCIENCE, MULTIDISCIPLINARY rank: 201 / 333 = 0.604 (2020) - Q3 - T2

Factor impacto SCIMAGO: 0.435 - Computer Science Applications (Q2) - Engineering (miscellaneous) (Q2) - Process Chemistry and Technology (Q2) - Instrumentation (Q2) - Materials Science (miscellaneous) (Q2) - Fluid Flow and Transfer Processes (Q2)

Financiación: info:eu-repo/grantAgreement/ES/UZ/Grupo Investigación LAMAGRI

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Area Ingeniería Agroforestal (Dpto. CC.Agrar.y Medio Natural)
Área (Departamento): Área Ingeniería Mecánica (Dpto. Ingeniería Mecánica)
Área (Departamento): Área Expresión Gráfica en Ing. (Dpto. Ingeniería Diseño Fabri.)