Wear diagnosis based on the oil analysis. A case study: Public taxi service

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Segundo Narciso Cabascango Collahuazo
Jaime Fernando Antamba Guasgua
Luis Fabricio Corrales Zurita
José Israel Guerra Naranjo

Abstract

The operating conditions of a vehicle engine depend on the fuel, lubricant and components; th6us the diagnosis is made directly by continuous monitoring of the lubricant. This project evaluates the condition of engine wear due to ignition caused in a taxi-type public use vehicle, applying the used lubricant analysis technique. The research process is experimental, a baseline of the lubricant and vehicle is raised, for the sampling of every 4000 kilometers of route, in each sample the physical and chemical properties of the lubricant are analyzed, the behavior is established of the viscosity, contaminating particles and metallic particles of the vehicle's SI. The behavior of the PQ index shows a constant tendency for wear, the size of the iron particles are small, the PQ index combined with a low ppm of iron indicates a common wear, and low incidence of abrasive wear on the moving parts of the engine for environment pollution.

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How to Cite
Cabascango Collahuazo, S. N., Antamba Guasgua, J. F., Corrales Zurita, L. F., & Guerra Naranjo, J. I. (2020). Wear diagnosis based on the oil analysis. A case study: Public taxi service. ConcienciaDigital, 3(3.2), 18-28. https://doi.org/10.33262/concienciadigital.v3i3.2.1399
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References

Adams, D. R. (2010). Tribological considerations in internal combustion engines. En Tribology and Dynamics of Engine and Powertrain (págs. 251-283). London: Woodhead Publishing.
AEADE. (2018). Anuario 2018. Quito.
Antamba, J. F. (2018). Diagnóstico de la condición operativa del motor por encendido provocado (MEP), según el tipo de gasolina empleado en las ciudades de Quito y Esmeraldas. Quito: Tesis posgrado EPN.
Bovington, C. (2019). Friction wear and the role of additives. UK: Springer.
Distrito Metropolitano de Quito. (2009). Plan Maestro de Movilidad de Quito 2009-2025.
Fernández-Feal, M. C., Fernández-Feal, M. L., Sánchez-Fernández, L. R., & Pérez-Prado, J. R. (2018). Study of Metal Concentration in Lubricating Oil with Predictive Purposes. Current Journal of Applied Science and Technology, 27(6), 1-12.
Instituto de la Ciudad. (2017). El DMQ-y-la-dinamica-de-un-servicio-de-taxi-que-evoluciona. Obtenido de https://www.institutodelaciudad.com.ec/coyuntura-sicoms/169-eldmq-y-la-dinamica-de-un-servicio-de-taxi-que-evoluciona.html
Macián, V., Tormos, B., Miró, G., & Pérez, T. (2016). Assessment of low-viscosity oil performance and degradation in a heavy duty engine real-world fleet test. Proc IMechE Part J: J. Eng. Tribol., 230(6), 729-740.
Macián, V., Tormos, B., Olmeda, P., & Montoro, L. (2003). Analytical approach to wear rate determination for internal combustion engine condition monitoring based on oil analysis. Tribology International, 36.
Raposo, H., Torres Farinha, J., Fonseca, I., & Galar, D. (2019). Predicting condition based on oil analysis – A case study. Tribology International, 135, 65-74.
Saldivia, F. (2013). Aplicación de mantenimiento predictivo. Caso Estudio: análisis de aceite usado en un motor de combustión interna. Obtenido de XI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013): http://www. laccei.org/LACCEI2013Cancun/RefereedPapers/RP264. pdf.
Tormos, B. (2013). Diagnóstico de motores diésel mediante el análisis del aceite usado. . España: Reverte.