Multivariate analysis to identify groups of biodiesels in the operation of an agricultural engine

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Federal do Cariri-
Autor(es): dc.contributorInstituto Federal do Triângulo Mineiro-
Autor(es): dc.creatorPinto, Antonio Alves-
Autor(es): dc.creatorda Camara, Felipe Thomaz-
Autor(es): dc.creatorLopes, Afonso-
Autor(es): dc.creatorde Lima, Leomar Paulo-
Autor(es): dc.creatorPinto, Leandro Alves-
Data de aceite: dc.date.accessioned2025-08-21T22:37:23Z-
Data de disponibilização: dc.date.available2025-08-21T22:37:23Z-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2022-05-01-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5039/AGRARIA.V16I3A8663-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/233618-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/233618-
Descrição: dc.descriptionThe increase in the use of diesel engines in the transport sector and in agriculture has led researchers to study new alternative sources of fuels. The objective was to identify the agglomerates existing in a set of biodiesels through multivariate exploratory analysis and determine the variables that most influenced the division of agglomerates to assist in the understanding of the functioning of the engines with these biodiesels. The present work was carried out in two tests: test I - tractor performance test and test II - exhaust smoke opacity. The tractors used in the experiment were the so-called traction tractor (tractor 1), the Valtra brand, model BM100, 4X2 with auxiliary front-wheel drive, 74 kW (100 hp) at 2,300 rpm on the engine and braking tractor (Tractor 2), the Valtra brand, model BH140, 4X2 with auxiliary front-wheel drive, 103 kW (140 hp) at 2,400 rpm on the engine. The hierarchical, non-hierarchical analysis and the main component analysis grouping allowed the ordering of the biodiesels into three groups. The variables that most influenced the division of the groups were volumetric hourly consumption, hourly weight consumption, and specific consumption. The biodiesels that are part of group one have greater calorific power resulting in less consumption of biodiesel in agricultural operations.-
Descrição: dc.descriptionUniversidade Estadual Paulista, SP-
Descrição: dc.descriptionUniversidade Federal do Cariri, CE-
Descrição: dc.descriptionInstituto Federal do Triângulo Mineiro, MG-
Descrição: dc.descriptionUniversidade Estadual Paulista, SP-
Idioma: dc.languageen-
Relação: dc.relationRevista Brasileirade Ciencias Agrarias-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectFuel consumption-
Palavras-chave: dc.subjectGrouping-
Palavras-chave: dc.subjectPrincipal component-
Título: dc.titleMultivariate analysis to identify groups of biodiesels in the operation of an agricultural engine-
Título: dc.titleAnálise multivariada na identificação de grupos de biodieseis no funcionamento de motor agrícola-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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